Index system analysis method based on AHP and CRITIC weight method

Abstract

The invention belongs to the technical field of novel power systems, and particularly relates to an index system analysis method based on AHP and CRITIC weight methods, which comprises the following steps: constructing a novel power system field academic influence index system; based on a preset state grid periodical group and a fusion periodical group, obtaining original data of each index in the novel electric power system field academic influence index system, and standardizing dimensional data in the original data into dimensionless original data; and based on the dimensionless original data, through an analysis method combining AHP and CRITIC weight methods, determining an academic journal influence comprehensive score, and realizing index system analysis. According to the method, the weight of each index is determined and the comprehensive score of each index is calculated by adopting an analysis method combining an AHP method and a CRITIC method. The limitation of a single method is avoided; the result is more objective and credible; and a simple, convenient, feasible and effective decision support tool is provided for practical decision problems.

Description

Technical Field

[0001] The invention belongs to the technical field of new power systems, and in particular relates to an index system analysis method based on AHP and CRITIC weighting methods. Background Art

[0002] In the prior art, there are three methods for evaluating the impact of academic journals: qualitative evaluation, quantitative evaluation, and a combination of qualitative and quantitative evaluation. Qualitative evaluation mainly uses expert peer review to directly grade or rank academic journals; quantitative evaluation includes single indicator evaluation, multi-indicator comprehensive evaluation, and combined evaluation; the evaluation method combining quantitative and qualitative evaluation is that industry experts review the results of multi-indicator comprehensive evaluation or combined evaluation and correct the evaluation results. For academic journals, peer review is the most basic qualitative evaluation method. Peer review is a process in which authoritative experts in the industry directly grade or rank academic journals, ultimately achieving an evaluation of the impact of academic journals. However, its labor cost is high, and it is prone to great subjective arbitrariness and uncertainty.

[0003] Quantitative evaluation methods in the prior art include: single-indicator quantitative evaluation and multi-indicator objective evaluation. Single-indicator evaluation is to evaluate the influence of academic journals by a single indicator. Multi-indicator comprehensive evaluation is to construct an academic journal influence evaluation index system from different dimensions, and then use mathematical or statistical methods to calculate the index system and obtain a comprehensive score, including: multi-indicator objective evaluation and multi-indicator subjective and objective comprehensive evaluation. There are two commonly used methods for multi-indicator objective evaluation: one is weighted summary after objective weighting. The other is a system evaluation method that does not require weighting. Multi-indicator subjective and objective evaluation uses subjective weighting method to obtain the weight of each indicator, and then obtains the comprehensive score of each indicator through weighted summary or system method. Commonly used methods include hierarchical analysis method, expert meeting method, Delphi method, fuzzy comprehensive evaluation method, etc.

[0004] In order to avoid the limitations of a single method and reduce the impact of the evaluator's subjective preference, an indicator system analysis method based on AHP and CRITIC weighting method is urgently needed to make the results more objective and credible; so that the entire decision-making problem can be considered more systematically and comprehensively, providing a simple, easy and effective decision support tool for practical decision-making problems. Summary of the invention

[0005] The object of the present invention is to provide an index system analysis method based on AHP and CRITIC weighting method, characterized in that it comprises the following steps:

[0006] Step S1: Construct an academic influence index system in the field of new power systems;

[0007] Step S2: Based on the preset State Grid journal group and integrated journal group, the original data of each indicator in the academic influence index system in the field of new power system is obtained, and the dimensioned data in the original data is standardized into dimensionless original data;

[0008] Step S3: Based on the dimensionless original data, the comprehensive score of the academic journal influence is determined by combining the AHP and CRITIC weighting methods to achieve indicator system analysis.

[0009] The academic influence index system in the field of new power systems in step S1 includes: quantity dimension, quality dimension and key direction dimension;

[0010] The quantitative dimensions include: the number of documents and the number of core journal publications;

[0011] The quality dimensions include: total citations, average citations per paper, total downloads, average downloads per paper, percentage of papers in core journals, citations in core journals, and percentage of papers in foundation-funded journals;

[0012] The key dimensions include: the number of funded papers and the number of citations of funded papers.

[0013] The number of documents mentioned is: the total number of papers published by the State Grid Science and Technology Journal Group in the field of new power systems within a certain period of time;

[0014] The number of core journal publications is: the total number of papers published in the core journals of the State Grid Science and Technology Journal Group in the field of new power systems within a certain period of time;

[0015] The total citations are: the total number of citations of papers in the field of new power systems published by State Grid's science and technology journals within a certain period of time.

[0016] The cited number of the papers mentioned above is: the total number of citations of the papers published by the State Grid Science and Technology Journal Group in the field of new power systems divided by the total number of papers published by the State Grid Journal Group in the field of new power systems within a certain period of time;

[0017] The total download volume is: the total download volume of papers published by the State Grid Science and Technology Journal Group in the field of new power systems within a certain period of time;

[0018] The average number of downloads per article is: the average number of downloads of papers published by the State Grid Science and Technology Journal Group in the field of new power systems within a certain period of time;

[0019] The proportion of core journal papers is: the proportion of core journal papers published by the State Grid Journal Group in the field of new power systems to the total number of papers published within a certain period of time;

[0020] The core journal citation number is: the total number of citations of core journal papers in the field of new power systems in the State Grid Science and Technology Journal Group within a certain period of time;

[0021] The proportion of funded papers is: the proportion of funded papers in the field of new power systems in the State Grid journal group to the total number of published papers within a certain period of time;

[0022] The number of funded papers is: the number of funded papers published by the State Grid Science and Technology Journal Group in the field of new power systems within a certain period of time;

[0023] The number of citations of the fund papers is: the total number of citations of the fund papers in the field of new power systems in the State Grid Science and Technology Journal Group within a certain period of time;

[0024] The step S2 of normalizing the dimensioned data in the original data into dimensionless original data includes: forward processing and reverse processing;

[0025] The forward processing is:

[0026]

[0027] The reverse processing is:

[0028]

[0029] The analysis method combining AHP and CRITIC weighting method in step S3 to determine the comprehensive score of the academic journal influence includes:

[0030] Step S31: using the AHP method to obtain the weight of the first-level index;

[0031] Step S32: using the CRITIC method to obtain the secondary index weights;

[0032] Step S33: Based on the weights of the primary indicators and the secondary indicators, determine the comprehensive score F of the journal's academic influence.

[0033] The step S31 of obtaining the primary index weights by using the AHP method includes:

[0034] A number of experts in the field score the indicators in the academic influence index system in the field of new power systems to obtain a judgment matrix A;

[0035] Find the maximum eigenvalue λ of the judgment matrix A m , calculate the consistency ratio CR value, use the consistency ratio CR value to perform consistency test, and obtain the weight result of the expert;

[0036] Based on the preset expert weights, each expert's weight result is weighted to obtain the first-level indicator weight.

[0037] The consistency check using the consistency ratio CR value includes:

[0038]

[0039] CR<0.1

[0040] Where: m is the maximum eigenvalue of the judgment matrix; n is the order of the judgment matrix; CI is the consistency index; RI is the random consistency index, and the RI value is 0.5;

[0041] If CR<0.1 is satisfied, the judgment matrix passes the consistency test.

[0042] The use of the CRITIC method to obtain the secondary indicator weights includes:

[0043] Calculate the standard deviation S j Indicates the variability of each indicator;

[0044] Calculate the correlation coefficient R j Indicates the conflict between various indicators;

[0045] Based on the standard deviation S j and the correlation coefficient R j , calculate the amount of information C j ;

[0046] Based on the information C j Calculate the secondary index weight W j .

[0047] The standard deviation S j for:

[0048]

[0049] In the formula, m is the number of evaluation objects;

[0050] The correlation coefficient R j for:

[0051]

[0052] In the formula, r ij Represents the correlation coefficient between evaluation indicators i and j:

[0053]

[0054] In the formula, r ij is the Pearson correlation coefficient, which is used to measure the strength and direction of the linear relationship between two variables i and j; the numerator is the mean of the product of the differences between the observed values ​​of the two variables; the denominator is the product of the square root of the sum of the squares of the differences between the observed values ​​of the two variables;

[0055] The amount of information C j for:

[0056]

[0057] In the formula, C j The larger it is, the greater the role of the jth evaluation index in the entire evaluation index system, and more weight should be assigned to it;

[0058] The secondary index weight W j for:

[0059]

[0060] In the formula, P is the number of secondary indicators.

[0061] The comprehensive score F for determining the academic impact of a journal includes:

[0062] F=w1f1+w2f2

[0063] Among them, f1 and f2 are the index scores of quantity and quality respectively, and w1 and w2 are the weights of their first-level AHP respectively.

[0064] The beneficial effects of the present invention are:

[0065] The invention discloses an index system analysis method based on AHP and CRITIC weight method. The technical problem to be solved is how to ensure the objectivity of evaluation and reduce the influence of the subjective preference of the evaluator when determining the weight of the index system when analyzing the index system of the academic influence of the State Grid journal group.

[0066] By combining AHP and CRITIC, we can consider the problem more comprehensively and avoid the limitations of a single method; make the results more objective and credible; and make the entire decision-making problem more systematic and comprehensive. Both AHP and CRITIC weighting methods have clear methods and steps, and are easy to operate and implement. This combined method can provide a simple, easy and effective decision support tool for practical decision-making problems. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 This is a flow chart of an indicator system analysis method based on AHP and CRITIC weighting method of the present invention;

[0068] Figure 2 A schematic diagram of the academic influence indicator system structure of the State Grid journal group according to an embodiment of the present invention;

[0069] Figure 3 This is a schematic diagram of the academic influence scoring trend of a journal group according to an embodiment of the present invention. DETAILED DESCRIPTION

[0070] The present invention provides an index system analysis method based on AHP and CRITIC weighting method, which is further described in detail below in conjunction with the accompanying drawings.

[0071] like Figure 1 The embodiment of the present invention shown discloses an index system analysis method based on AHP and CRITIC weighting method, including:

[0072] Step S1: Construct an academic influence index system in the field of new power systems;

[0073] Step S2: Based on the preset State Grid journal group and integrated journal group, the original data of each indicator in the academic influence index system in the field of new power system is obtained, and the dimensioned data in the original data is standardized into dimensionless original data;

[0074] Step S3: Based on the dimensionless original data, the comprehensive score of the academic journal influence is determined by combining the AHP and CRITIC weighting methods to achieve indicator system analysis.

[0075] In this embodiment, the present invention is applied to the comprehensive scoring of the index system of the academic influence of the State Grid scientific and technological journal group in the field of new power systems, and particularly relates to a new power system field, and provides an analysis method combining AHP and CRITIC methods, which is used for the evaluation method of the index system of the academic influence of the State Grid journal group in the field of new power systems, and specifically includes the following steps:

[0076] Firstly, an index system of academic influence in the field of new power systems is established and the calculation method of each index is given.

[0077] Secondly, define the scope of the national network journal group and integrated journal group, and then establish the original data of each indicator according to the definition of each indicator and standardize the dimensional data into dimensionless data to standardize the indicators of all samples.

[0078] Finally, the weights of the two-layer indicators were determined through the analysis method combining AHP and CRITIC, and the development trend of the influence of academic journals was analyzed through comprehensive scoring.

[0079] The following is a detailed description of each step.

[0080] Step S1: Construct an academic influence index system in the field of new power systems;

[0081] In this embodiment, an index system for academic influence in the field of new power systems is established and the calculation method of each index is given. According to the research purpose and index setting principles, the bibliometric method is used, the design of paper output evaluation indicators by domestic and foreign scholars and the principle of data accessibility are integrated, and the differences in the establishment of databases and the use of analysis tools in China are combined to construct an academic influence evaluation index system for the output of papers in the field of new power systems by domestic journals. Figure 2 As shown. The domestic establishment includes an indicator system including the number of documents, total citations, number of core journals, number of core journal citations, number of funded papers, number of funded papers, total downloads, average citations per paper, proportion of core journal papers, proportion of funded papers, and average downloads per paper.

[0082] Considering that papers are a direct reflection of the research results of scientific researchers, the number of papers published by the State Grid Journal Group can directly reflect its level of activity in the field and, to a certain extent, its influence. The quality level of papers published by the journal group is mainly reflected in its citations, number of core journals, number of foundation papers, network downloads, proportion of highly cited papers, page views, normalized impact factor and other indicators.

[0083] Considering the time when the concept of new power system was proposed, in this embodiment, the data sample time period uses data from 2018 to 2022. The academic influence indicator system in the field of new power system in step S1 includes: quantity dimension, quality dimension and key direction dimension;

[0084] The quantitative dimensions include: the number of documents and the number of core journal publications;

[0085] The quality dimensions include: total citations, average citations per paper, total downloads, average downloads per paper, percentage of papers in core journals, citations in core journals, and percentage of papers in foundation-funded journals;

[0086] The key dimensions include: the number of funded papers and the number of citations of funded papers.

[0087] The specific indicators are described and defined as follows:

[0088] 1. Number of documents: The total number of papers published by State Grid’s scientific journals in the field of new power systems within a certain period of time.

[0089] 2. Total citations: The total number of citations of papers published by State Grid’s scientific journals in the field of new power systems within a certain period of time.

[0090] 3. Number of core journal publications: the total number of papers published in the core journals of State Grid’s science and technology journal group in the field of new power systems within a certain period of time.

[0091] 4. Citations to core journals: The total number of citations to core journals in the field of new power systems published by State Grid’s science and technology journal group within a certain period of time.

[0092] 5. Number of funded papers: The number of funded papers published by State Grid’s science and technology journal group in the field of new power systems within a certain period of time.

[0093] 6. Number of citations of funded papers: the total number of citations of funded papers in the field of new power systems published by State Grid’s scientific and technological journals within a certain period of time.

[0094] 7. Total downloads: The total number of downloads of papers published by State Grid’s scientific journals in the field of new power systems within a certain period of time.

[0095] 8. Average citations per paper: The total number of citations to papers published by State Grid’s scientific journals in the field of new power systems divided by the total number of papers published by State Grid’s journals in the field of new power systems within a certain period of time.

[0096]

[0097] 9. Proportion of core journal papers: within a certain period of time, the proportion of core journal papers published by State Grid’s journal group in the field of new power systems to the total number of papers published.

[0098]

[0099] 10. Proportion of funded papers: Within a certain period of time, the proportion of funded papers in the field of new power systems in the State Grid journal group to the total number of publications.

[0100]

[0101] 11. Average number of downloads per paper: The average number of downloads of papers published by State Grid’s scientific journals in the field of new power systems within a certain period of time.

[0102]

[0103] Step S2: Based on the preset State Grid journal group and integrated journal group, the original data of each indicator in the academic influence index system in the field of new power system is obtained, and the dimensioned data in the original data is standardized into dimensionless original data;

[0104] In this embodiment, the scope of the national network journal group and the integrated journal group is defined, and the scope of the national network journal group is shown in Table 1:

[0105] Table 1 Summary of the National Network Journal Group

[0106]

[0107] In this embodiment, the integrated journal group is used as a comparison journal group, and the integrated journal group is set to take the journals related to the Chinese Society of Electrical Engineering and the journals related to the Chinese Electrotechnical Society, excluding the journals related to the State Grid.

[0108] In this embodiment, the scope of the final fusion journal group is as shown in Table 2:

[0109] Table 2 Summary of the final integrated journal group

[0110]

[0111] According to the definition of each indicator, the original data of each indicator is established and the dimensional data is standardized into dimensionless data. The indicators of all samples are standardized.

[0112] In order to eliminate the impact of different dimensions on the evaluation results, it is necessary to perform dimensionless processing on each indicator. This article needs to consider the analysis of each indicator year by year, that is, it is necessary to take into account the differences in the degree of variation. The CRITIC weight method generally uses forward or reverse processing, and standardization is not recommended. The reason is that if standardization is used, all standard deviations become the number 1, that is, the standard deviations of all indicators are exactly the same, which makes the volatility indicator meaningless.

[0113] The step S2 of normalizing the dimensioned data in the original data into dimensionless original data includes: forward processing and reverse processing;

[0114] The forward processing is:

[0115]

[0116] In this embodiment, the larger the value of the positive indicator, the better;

[0117] The reverse processing is:

[0118]

[0119] In this embodiment, the smaller the value of the reverse index is, the better.

[0120] Step S3: Based on the dimensionless original data, the comprehensive score of the academic journal influence is determined by combining the AHP and CRITIC weighting methods to achieve indicator system analysis.

[0121] The analysis method combining AHP and CRITIC weighting method in step S3 to determine the comprehensive score of the academic journal influence includes:

[0122] Step S31: using the AHP method to obtain the weight of the first-level index;

[0123] Step S32: using the CRITIC method to obtain the secondary index weights;

[0124] Step S33: Based on the weights of the primary indicators and the secondary indicators, determine the comprehensive score F of the journal's academic influence.

[0125] In this embodiment, the weights of the two-layer indicators are determined by combining the AHP and CRITIC methods, and the development trend of the influence of academic journals is analyzed through comprehensive scoring.

[0126] The step S31 of obtaining the primary index weights by using the AHP method includes:

[0127] A number of experts in the field score the indicators in the academic influence index system in the field of new power systems to obtain a judgment matrix A;

[0128] Find the maximum eigenvalue λ of the judgment matrix A m , calculate the consistency ratio CR value, use the consistency ratio CR value to perform consistency test, and obtain the weight result of the expert;

[0129] Based on the preset expert weights, each expert's weight result is weighted to obtain the first-level indicator weight.

[0130] In this embodiment, the analytic hierarchy process (AHP) is a subjective weighting method, which uses a pairwise comparison method to establish a matrix, and utilizes the relativity of the size of numbers. The larger the number, the more important it is, and the higher the weight will be. Finally, the importance of each factor is calculated. The main steps are as follows.

[0131] In this embodiment, a judgment matrix is ​​constructed. For all elements in each layer, their importance needs to be specifically quantified. According to the scales 1 to 9 shown in Table 3, with reference to expert opinions, the importance of each indicator is judged, and the judgment result is expressed as a ratio. The judgment matrix A is constructed as follows: ij ) 3×3 .

[0132] In this embodiment, the scale and meaning are shown in Table 3:

[0133] Table 3 Summary of scales and their meanings

[0134] <![CDATA[Scale a ij > significance 1 Both indicators are equally important 3 Between the two indicators, i is slightly more important than j 5 Between the two indicators, i is obviously more important than j 7 Between the two indicators, i is more important than j. 9 Between the two indicators, i is more important than j.

[0135] In this embodiment, there is an intermediate state between every two scales, namely, 2, 4, 6, and 8, whose meaning is between the importance levels represented by the two scales.

[0136] The consistency check using the consistency ratio CR value includes:

[0137]

[0138] CR<0.1

[0139] Where: m is the maximum eigenvalue of the judgment matrix; n is the order of the judgment matrix; CI is the consistency index; RI is the random consistency index, and the RI value is 0.5;

[0140] In this embodiment, a consistency check is performed, the maximum eigenvalue of the judgment matrix is ​​obtained, and the consistency ratio CR value is calculated. If CR<0.1 is satisfied, it is considered that the judgment matrix passes the consistency check.

[0141] In this embodiment, the weights are solved, and 5 experts are invited to compare and score the first-level indicators and obtain 5 judgment matrices. The above judgment matrices are solved, analyzed and checked for consistency, and the weight results of the experts are weighted according to the authority of the 5 experts to obtain the final weight result, namely: the first-level indicator weight.

[0142] Step S32: using the CRITIC method to obtain the secondary index weights;

[0143] In this embodiment, the CRITIC weighting method is an objective weighting method, which comprehensively measures the objective weight of the indicators based on the comparative strength of the evaluation indicators and the conflict between the indicators. In the comprehensive evaluation problem of multiple indicators and multiple objects, the CRITIC weighting method can eliminate the influence of some indicators with strong correlation, reduce the overlap of information between indicators, and is more conducive to obtaining credible evaluation results.

[0144] The use of the CRITIC method to obtain the secondary indicator weights includes:

[0145] Calculate the standard deviation S j Indicates the variability of each indicator;

[0146] Calculate the correlation coefficient R j Indicates the conflict between various indicators;

[0147] Based on the standard deviation S j and the correlation coefficient R j , calculate the amount of information C j ;

[0148] Based on the information C j Calculate the secondary index weight W j .

[0149] In this example, the indicator variability is calculated and expressed in the form of standard deviation:

[0150] The standard deviation S j for:

[0151]

[0152] In the formula, m is the number of evaluation objects;

[0153] In this embodiment, the standard deviation is used in the CRITIC method to represent the difference fluctuation of the internal values ​​of each indicator. The larger the standard deviation, the greater the numerical difference of the indicator, the more information can be reflected, the stronger the evaluation strength of the indicator itself, and more weight should be assigned to the indicator.

[0154] In this embodiment, the index conflict is represented by the correlation coefficient:

[0155] The correlation coefficient R j for:

[0156]

[0157] In the formula, r ij Represents the correlation coefficient between evaluation indicators i and j, that is, two columns of indicators:

[0158]

[0159] In the formula, r ij is the Pearson correlation coefficient, which is used to measure the strength and direction of the linear relationship between two variables i and j; the numerator is the mean of the product of the differences between the observed values ​​of the two variables; the denominator is the product of the square root of the sum of the squares of the differences between the observed values ​​of the two variables;

[0160] In this embodiment, the correlation coefficient is used to represent the correlation between indicators. The stronger the correlation with other indicators, the less conflict the indicator has with other indicators. The more the same information is reflected, the more repetitive the evaluation content is, which weakens the evaluation strength of the indicator to a certain extent. The weight assigned to the indicator should be reduced.

[0161] The amount of information C j for:

[0162]

[0163] In the formula, C j The larger it is, the greater the role of the jth evaluation index in the entire evaluation index system, and more weight should be assigned to it;

[0164] The secondary index weight W j for:

[0165]

[0166] In the formula, P is the number of secondary indicators.

[0167] In this embodiment, the secondary index weight Wj is the objective weight.

[0168] The comprehensive score F for determining the academic impact of a journal includes:

[0169] F=w1f1+w2f2

[0170] Among them, f1 and f2 are the index scores of quantity and quality respectively, and w1 and w2 are the weights of their first-level AHP respectively.

[0171] In this embodiment, the dimensional data is standardized into dimensionless data, the indicators of all samples are standardized, and the final evaluation total score F is obtained.

[0172] In order to prove the effectiveness of the index system analysis method based on AHP and CRITIC weight method disclosed in the present invention, a comparative experiment is carried out in this embodiment, and the experimental results are as follows:

[0173] The scoring results of the first-level indicators are shown in Table 4:

[0174] Table 4 Statistical table of scoring results of first-level indicators

[0175]

[0176] The comprehensive scoring results of the journal group are shown in Table 5:

[0177] Table 5 Statistical table of comprehensive scoring results of journal groups

[0178]

[0179] In this embodiment, the trend of the academic influence score of the journal group is as follows: Figure 3 As shown in the figure, the weight distribution of the State Grid publication group in terms of quantity, quality and key directions is relatively balanced, while the performance of the integrated publication group in terms of quality and key directions is relatively weak. This proves that the State Grid publication group can play a guiding role in the field of new power systems. It avoids the limitations of a single method and reduces the impact of the evaluator's subjective preferences, making the results more objective and credible; it makes the entire decision-making problem more systematically and comprehensively considered, providing a simple, easy and effective decision support tool for actual decision-making problems.

Claims

1. An index system analysis method based on AHP and CRITIC weighting method, characterized in that: The steps include: Step S1: Construct an academic influence index system in the field of new power systems; Step S2: Based on the preset State Grid journal group and integrated journal group, the original data of each indicator in the academic influence index system in the field of new power system is obtained, and the dimensioned data in the original data is standardized into dimensionless original data; Step S3: Based on the dimensionless original data, the comprehensive score of the academic journal influence is determined by combining the AHP and CRITIC weighting methods to achieve indicator system analysis.

2. The index system analysis method based on AHP and CRITIC weighting method according to claim 1 is characterized in that: The academic influence index system in the field of new power systems in step S1 includes: quantity dimension, quality dimension and key direction dimension; The quantitative dimensions include: the number of documents and the number of core journal publications; The quality dimensions include: total citations, average citations per paper, total downloads, average downloads per paper, percentage of papers in core journals, citations in core journals, and percentage of papers in foundation-funded journals; The key dimensions include: the number of funded papers and the number of citations of funded papers.

3. The index system analysis method based on AHP and CRITIC weighting method according to claim 2 is characterized in that: The number of documents mentioned is: the total number of papers published by the State Grid Science and Technology Journal Group in the field of new power systems within a certain period of time; The number of core journal publications is: the total number of papers published in the core journals of the State Grid Science and Technology Journal Group in the field of new power systems within a certain period of time; The total citations are: the total number of citations of papers in the field of new power systems published by State Grid's science and technology journals within a certain period of time. The cited number of the papers mentioned above is: the total number of citations of the papers published by the State Grid Science and Technology Journal Group in the field of new power systems divided by the total number of papers published by the State Grid Journal Group in the field of new power systems within a certain period of time; The total download volume is: the total download volume of papers published by the State Grid Science and Technology Journal Group in the field of new power systems within a certain period of time; The average number of downloads per article is: the average number of downloads of papers published by the State Grid Science and Technology Journal Group in the field of new power systems within a certain period of time; The proportion of core journal papers is: the proportion of core journal papers published by the State Grid Journal Group in the field of new power systems to the total number of papers published within a certain period of time; The core journal citation number is: the total number of citations of core journal papers in the field of new power systems in the State Grid Science and Technology Journal Group within a certain period of time; The proportion of funded papers is: the proportion of funded papers in the field of new power systems in the State Grid journal group to the total number of published papers within a certain period of time; The number of funded papers is: the number of funded papers published by the State Grid Science and Technology Journal Group in the field of new power systems within a certain period of time; The number of citations of the fund papers is: the total number of citations of the fund papers in the field of new power systems published by the State Grid Science and Technology Journal Group within a certain period of time.

4. The index system analysis method based on AHP and CRITIC weighting method according to claim 1 is characterized in that: The step S2 of normalizing the dimensioned data in the original data into dimensionless original data includes: forward processing and reverse processing; The forward processing is: The reverse processing is:

5. The index system analysis method based on AHP and CRITIC weighting method according to claim 1 is characterized in that: The analysis method combining AHP and CRITIC weighting method in step S3 to determine the comprehensive score of the academic journal influence includes: Step S31: using the AHP method to obtain the weight of the first-level index; Step S32: using the CRITIC method to obtain the secondary index weights; Step S33: Based on the weights of the primary indicators and the secondary indicators, determine the comprehensive score F of the journal's academic influence.

6. The index system analysis method based on AHP and CRITIC weighting method according to claim 5 is characterized in that: The step S31 of obtaining the primary index weights by using the AHP method includes: A number of experts in the field score the indicators in the academic influence index system in the field of new power systems to obtain a judgment matrix A; Find the maximum eigenvalue λ of the judgment matrix A m , calculate the consistency ratio CR value, use the consistency ratio CR value to perform consistency test, and obtain the weight result of the expert; Based on the preset expert weights, each expert's weight result is weighted to obtain the first-level indicator weight.

7. The index system analysis method based on AHP and CRITIC weighting method according to claim 6 is characterized in that: The consistency check using the consistency ratio CR value includes: CR<0.1 Where: m is the maximum eigenvalue of the judgment matrix; n is the order of the judgment matrix; CI is the consistency index; RI is the random consistency index, and the RI value is 0.5; If CR<0.1 is satisfied, the judgment matrix passes the consistency test.

8. The index system analysis method based on AHP and CRITIC weighting method according to claim 5 is characterized in that: The use of the CRITIC method to obtain the secondary indicator weights includes: Calculate the standard deviation S j Indicates the variability of each indicator; Calculate the correlation coefficient R j Indicates the conflict between various indicators; Based on the standard deviation S j and the correlation coefficient R j , calculate the amount of information C j ; Based on the information C j Calculate the secondary index weight W j .

9. The index system analysis method based on AHP and CRITIC weighting method according to claim 8 is characterized in that: The standard deviation S j for: In the formula, m is the number of evaluation objects; The correlation coefficient R j for: In the formula, r ij Represents the correlation coefficient between evaluation indicators i and j: In the formula, r ij is the Pearson correlation coefficient, which measures the strength and direction of the linear relationship between two variables i and j; the numerator is the mean of the product of the differences between the observed values ​​of the two variables; The denominator is the product of the square roots of the sum of the squares of the differences between the observed values ​​of the two variables; The amount of information C j for: In the formula, C j The larger it is, the greater the role of the jth evaluation index in the entire evaluation index system, and more weight should be assigned to it; The secondary index weight W j for: Where P is the number of secondary indicators.

10. The index system analysis method based on AHP and CRITIC weighting method according to claim 5, characterized in that: The comprehensive score F for determining the academic impact of a journal includes: F=w1f1+w2f2 Among them, f1 and f2 are the index scores of quantity and quality respectively, and w1 and w2 are the weights of their first-level AHP respectively.

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