Marine ranch construction benefit evaluation method based on linear weighted transformation model

Abstract

The invention discloses a marine ranch construction benefit evaluation method based on a linear weighted transformation model, which comprehensively considers five factors of infrastructure, biological resources, monitoring management, economic output and ecological protection according to the characteristics of engineering related to the existing marine ranch and comprehensive budget, and evaluates the construction benefit of the marine ranch according to an established index system and a weight number. And the construction benefits of the marine ranching are evaluated by adopting the linear weighted transformation model, so that the accuracy and scientificity of evaluation are improved. According to the method, the construction benefits of different marine ranching schemes can be accurately evaluated comprehensively according to various factors.

Description

Technical Field

[0001] The present invention belongs to the technical field of marine ranching, and in particular relates to a marine ranching construction benefit evaluation method based on a linear weighted transformation model. Background Art

[0002] With the increase in population and demand for marine resources, marine ranching has attracted much attention as a sustainable marine aquaculture method. It is not a traditional seawater aquaculture model, but a new business model that integrates multiple functions such as seawater aquaculture, environmental protection, ecological restoration, resource conservation and tourism. Therefore, scientific evaluation of the benefits of existing marine ranch construction is extremely important for judging the sustainability of marine ranching, formulating policies, improving aquaculture benefits, ensuring the quality and safety of aquatic products, and promoting the healthy development of marine ranching.

[0003] Traditional methods for evaluating the benefits of marine ranch construction mainly include economic benefit evaluation and ecological benefit evaluation. This method often leads to unreasonable evaluation and fails to take into account factors such as the social benefits and biological resource benefits of marine ranches, making it impossible to conduct a comprehensive and accurate evaluation of the construction benefits of marine ranches. Summary of the invention

[0004] The purpose of the present invention is to provide a method for evaluating the benefits of marine ranch construction based on a linear weighted transformation model. In order to address the problems of incomplete consideration of factors and lack of scientificity in the existing benefit evaluation process of marine ranches, a linear weighted transformation model is established to comprehensively consider multiple evaluation factors for objective evaluation, providing a scientific basis for the subsequent planning and sustainable development of marine ranches.

[0005] In order to achieve the above-mentioned purpose, the technical scheme of the present invention is as follows: A method for evaluating the benefits of marine ranch construction based on a linear weighted transformation model comprises the following steps:

[0006] Step S1, according to the specific content and characteristics of the project involved in the marine ranch and the comprehensive budget, for n marine ranch project plans, five first-level evaluation factors are established, and relevant data of m second-level evaluation factors (i.e., single evaluation factors) under the first-level evaluation factors are collected; wherein m and n are both positive integers;

[0007] Step S2, constructing a judgment matrix based on the determined secondary evaluation factors (i.e., single evaluation factors);

[0008] Step S3, calculating the weights of the m secondary evaluation factors (i.e., single evaluation factors);

[0009] Step S4, dividing the secondary evaluation factors (i.e., the single evaluation factors) into qualitative factors and quantitative factors according to their properties, and determining the paradoxical relationship between the secondary evaluation factors (i.e., the single evaluation factors) of the n marine ranch engineering schemes;

[0010] Step S5, quantifying each evaluation factor according to different properties and relationships of the evaluation factors;

[0011] Step S6, establishing a fuzzy relationship matrix of the membership of the secondary evaluation factors (i.e., the single evaluation factors);

[0012] Step S7, constructing a linear weighted transformation mathematical model;

[0013] Step S8, using the model output evaluation results, calculate the evaluation values ​​of n marine ranch engineering plans, and evaluate the construction benefits of the marine ranch.

[0014] In S1, there are five first-level assessment factors that have a significant impact on the n marine ranch project plans, namely infrastructure, biological resources, monitoring and management, economic output, and ecological protection. The five first-level assessment factors contain a total of m individual assessment factors, and the m individual assessment factors include:

[0015] a. First-level assessment factors Infrastructure-related single assessment factors include:

[0016] X1. Area of ​​artificial reefs deployed, X2. Total tonnage of supporting vessels (referring to the displacement of vessels used for fishing, breeding, transportation or scientific research monitoring, unit: tons);

[0017] b. Primary assessment factors Single assessment factors related to biological resources include:

[0018] X3. Number of stocks released for reproduction, X4. Raft area, X5. Area of ​​water covered by the marine ranch,

[0019] c. Single assessment factors related to the monitoring and management of primary assessment factors include:

[0020] X6. Number of management and protection platforms (referring to the sum of the number of management and protection platforms for real-time monitoring of water quality and seabed topography, and the number of management and protection platforms for monitoring and managing the ecological environment and aquaculture facilities of marine ranches);

[0021] d. Primary evaluation factors Individual evaluation factors related to economic output include:

[0022] X7. Total funds for marine ranch construction, X8. Output of aquaculture products (tons), X9. Economic benefits of the tertiary industry (tourism, service industry, cultural industry or scientific research and education);

[0023] e. First-level assessment factors Single assessment factors related to ecological protection include:

[0024] X10. Whether it is within the ecological protection red line (qualitative factor);

[0025] In S2, a pairwise comparison method is used to construct a single evaluation factor judgment matrix for determining the weight of the single evaluation factor;

[0026] In step S3, based on the single evaluation factor judgment matrix constructed in step S2, the weighted vector A of the single evaluation factor is calculated by arithmetic mean method = (a1, a2, a3, ..., a m ), the weights of each evaluation factor satisfy:

[0027] In S4, the paradoxical relationship of factors is defined according to the properties of the single evaluation factors, and the definition method is as follows:

[0028] When comparing the same evaluation factor in different schemes, the natural number that is smaller than the larger one is called a paradoxical relationship; the natural number that is larger than the smaller one is called a common relationship;

[0029] In S5, when quantifying a single evaluation factor, the values ​​of the qualitative factors are ranked according to the comments of each qualitative factor of the design scheme, and the qualitative evaluation factors in the n schemes are ranked from best to worst as 1, 2, 3, ..., n. If the evaluations of two schemes are the same, they have the same ranking;

[0030] The value of the quantitative factor is the natural number of the single evaluation factor investigated in each scheme;

[0031] In S5, the quantification of the qualitative factors and the quantitative factors is performed according to the following mathematical model after the paradoxical relationship is determined:

[0032] The evaluation factors are in a paradoxical relationship, and the quantitative formula is:

[0033]

[0034] The evaluation factors are general relations, and the quantitative formula is:

[0035]

[0036] Among them, Z i It is the value of the quantitative evaluation factor or the ranking of the qualitative evaluation factor;

[0037] In S6, the fuzzy relationship matrix of the membership degree of the single evaluation factor is established as follows:

[0038]

[0039] Among them, r jiis the membership degree of a single evaluation factor, that is, the quantitative result of the evaluation factor X i ;

[0040] In S7, the constructed linear weighted transformation mathematical model is as follows:

[0041] B=A○H

[0042] Among them, B is the final score set of the plan, which is used for the final analysis and evaluation results; ○ is the synthesis symbol.

[0043] Beneficial effects of the present invention:

[0044] (1) The present invention comprehensively considers multiple evaluation factors of marine ranching engineering schemes and establishes a scientific and reasonable evaluation system. By constructing a judgment matrix and calculating weights, the importance of each evaluation factor is determined. Qualitative and quantitative factors are distinguished, and the paradoxical relationship between them is determined to more accurately evaluate engineering schemes.

[0045] (2) By quantifying the evaluation factors and establishing a fuzzy relationship matrix, the accuracy and objectivity of the evaluation can be improved. A linear weighted transformation mathematical model is constructed to output the evaluation results, providing a scientific basis for the evaluation of the construction benefits of marine ranches. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the following briefly introduces the drawings required for describing the embodiment, wherein:

[0047] Figure 1 The present invention is a flow chart of a method for evaluating the benefits of marine ranch construction based on a linear weighted transformation model. DETAILED DESCRIPTION

[0048] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with specific embodiments.

[0049] Embodiment 1:

[0050] like Figure 1 The flowchart of the method for evaluating the benefits of marine ranching construction based on the linear weighted transformation model according to the present invention is shown below. Figure 1 To illustrate the marine ranch construction benefit evaluation method based on the linear weighted transformation model implemented according to the present invention.

[0051] The following description selects three marine ranches, namely Case 1. National Marine Ranch Demonstration Zone in Laoshan Bay, Qingdao, Case 2. Laoyinjia Marine Ranch Demonstration Zone in Zhucha Island, Qingdao, and Case 3. Judayang National Marine Ranch Demonstration Zone in Lingshan Bay, Qingdao, as implementation cases, and conducts construction benefit evaluation based on the technical solution of the present invention.

[0052] like Figure 1 The flowchart of the method for evaluating the benefits of marine ranching construction based on the linear weighted transformation model according to the present invention is shown below. Figure 1 To illustrate the marine ranch construction benefit evaluation method based on the linear weighted transformation model implemented according to the present invention.

[0053] The following description selects three marine ranches, namely Case 1. National Marine Ranch Demonstration Zone in Laoshan Bay, Qingdao, Case 2. Laoyinjia Marine Ranch Demonstration Zone in Zhucha Island, Qingdao, and Case 3. Judayang National Marine Ranch Demonstration Zone in Lingshan Bay, Qingdao, as implementation cases, and conducts construction benefit evaluation based on the technical solution of the present invention.

[0054] The embodiment of the present invention provides a method for evaluating the benefits of marine ranch construction based on a linear weighted transformation model, which specifically includes the following steps:

[0055] Step S1, according to the specific content and characteristics of the project involved in the marine ranch and the comprehensive budget, for n marine ranch project plans, five first-level evaluation factors are established, and relevant data of m second-level evaluation factors (i.e., single evaluation factors) under the first-level evaluation factors are collected; wherein m and n are both positive integers;

[0056] According to the specific content and characteristics of the projects involved in the marine ranch and the comprehensive budget, the present invention uses the above three (n=3) marine ranch project schemes as examples to evaluate the construction benefits, and selects a total of five first-level evaluation factors, namely infrastructure, biological resources, monitoring and management, economic output, and ecological protection. The five first-level evaluation factors in this embodiment include a total of 10 (m=10) single evaluation factors (i.e., second-level evaluation factors), and the 10 single evaluation factors are:

[0057] a. First-level assessment factors Infrastructure-related single assessment factors include:

[0058] X1. Area of ​​artificial reefs deployed, X2. Total tonnage of supporting vessels (referring to the displacement of vessels used for fishing, breeding, transportation or scientific research monitoring, unit: tons);

[0059] b. Primary assessment factors Single assessment factors related to biological resources include:

[0060] X3. Number of stocks released for reproduction, X4. Raft area, X5. Area of ​​water covered by the marine ranch,

[0061] c. Single assessment factors related to the monitoring and management of primary assessment factors include:

[0062] X6. Number of management and protection platforms (referring to the sum of the number of management and protection platforms for real-time monitoring of water quality and seabed topography, and the number of management and protection platforms for monitoring and managing the ecological environment and aquaculture facilities of marine ranches);

[0063] d. Primary evaluation factors Individual evaluation factors related to economic output include:

[0064] X7. Total funds for marine ranch construction, X8. Output of aquaculture products (tons), X9. Economic benefits of the tertiary industry (tourism, service industry, cultural industry or scientific research and education);

[0065] e. First-level assessment factors Single assessment factors related to ecological protection include:

[0066] X10. Whether it is within the ecological protection red line (qualitative factor);

[0067] Step S2, using the pairwise comparison method to construct a single evaluation factor judgment matrix to determine the weight of the single evaluation factor, the construction result is as follows:

[0068]

[0069] Step S3: Based on the single evaluation factor judgment matrix constructed in step S2, the weighted vector A of the single evaluation factor is calculated using the arithmetic mean method = (0.193, 0.085, 0.048, 0.143, 0.021, 0.110, 0.065, 0.034, 0.010, 0.293), and the weights of each evaluation factor satisfy

[0070] Step S4: According to the single item The nature of the evaluation factors is divided into qualitative factors and quantitative factors, and the paradoxical relationship between the single evaluation factors of the three marine ranch engineering schemes is determined. The results are as follows:

[0071] The qualitative factors in the embodiment are: X10. Whether it is within the ecological protection red line.

[0072] The quantitative factors in the embodiment are: X1. area of ​​artificial reefs, X2. total tonnage of supporting boats (used for fishing, breeding, transportation or scientific research monitoring), X3. number of proliferation and release, X4. raft area, X5. area of ​​water covered by the marine ranch, X6. number of management and protection platforms (which can monitor water quality and seabed topography in real time, monitor and manage the ecological environment and breeding facilities of the marine ranch), X7. total funds for the construction of the marine ranch, X8. output of proliferation and breeding products (tons), and X9. economic benefits of the tertiary industry (tourism, service industry, cultural industry or scientific research and education).

[0073] The factors of the general relationship in the embodiment are: X1. area of ​​artificial reefs, X2. total tonnage of supporting boats (for fishing, breeding, transportation or scientific research monitoring), X3. output of breeding products (tons), X4. raft area, X5. covered water area, X6. number of management and protection platforms (which can monitor water quality and seabed topography in real time, monitor and manage the ecological environment and breeding facilities of the marine ranch), X7. area of ​​water covered by the marine ranch, X8. output of breeding products (tons), X9. economic benefits of the tertiary industry (tourism, service industry, cultural industry or scientific research and education), and X10. whether it is included in the ecological protection red line.

[0074] Step S5: Quantify the identified single evaluation factors. Take "X1. Artificial fish reef area" as an example. The artificial fish reef area in Scheme 1 is 57,500 square meters, the artificial fish reef area in Scheme 2 is 104,400 square meters, and the artificial fish reef area in Scheme 3 is 62,100 square meters. Substitute the artificial fish reef areas of the three schemes into the formula:

[0075] Scenario 1:

[0076]

[0077] Scenario 2:

[0078]

[0079] Solution 3:

[0080]

[0081] Taking "X10. Whether it is within the ecological protection red line" as an example for the quantification of qualitative factors, Scheme 1. The National Marine Ranch Demonstration Zone in Laoshan Bay, Qingdao City and Scheme 2. The Laoyinjia Marine Ranch Demonstration Zone in Zhucha Island, Qingdao City are both not within the designated ecological protection red line, and the quantification results are both 0. Scheme 3. The Judayang National Marine Ranch Demonstration Zone in Lingshan Bay, Qingdao City has a certificate of consent from the fishery authorities to carry out marine ranch construction and is already within the restricted development zone of the ecological red line, and the quantification result is 1.

[0082] S6, establish the fuzzy relationship matrix of the membership degree of the single evaluation factor:

[0083]

[0084] S7. Construct a linear weighted transformation mathematical model: B = A○H;

[0085] S8. Use the model to output the evaluation results and calculate the evaluation values ​​of the three marine ranch engineering schemes. The output result is: B = [0.09790.18660.7155].

[0086] According to the model output results, the B value of Plan 3 is 0.7155, which is the largest, followed by Plan 2 with a B value of 0.1866, and finally Plan 1 with a B value of 0.0979. Therefore, it is concluded that the marine ranch construction benefit of Plan 3 is the best.

[0087] The output results of the judgment value were verified by the annual total output value of Case 1. National Marine Ranch Demonstration Zone in Laoshan Bay, Qingdao City, Case 2. Laoyinjia Marine Ranch Demonstration Zone in Zhucha Island, Qingdao, and Case 3. Sanhe Marine Ranch Demonstration Zone in Judayang National Marine Ranch Demonstration Zone in Lingshan Bay, Qingdao. The annual total output value of the marine ranches in the three cases were RMB 14.5 million, RMB 29 million, and RMB 115.2 million, respectively.

[0088] Here, we can use the coefficient of determination (R-squared) to assess how well the judgment value fits the total output value:

[0089]

[0090] Among them, yi is the actual judgment value, is the predicted judgment value (here, the annual total output value ratio), is the average of the judgement values;

[0091] Scheme 1: evaluation value = 0.0979, output value ratio = 0.091;

[0092] Solution 2: evaluation value = 0.1866, output value ratio = 0.183;

[0093] Scheme 3: evaluation value = 0.7155, output value ratio = 0.726;

[0094] The coefficient of determination R 2 ≈0.9993, R 2 It is relatively close to 1, indicating that the fit between the evaluation value and the output value ratio is very high and the evaluation accuracy is high.

[0095] Comparative Example 1:

[0096] In order to verify the accuracy of the marine ranch construction benefit evaluation method based on the linear weighted transformation model of the present invention, the secondary evaluation factors (single evaluation factors) are determined to be 14 items, which is 4 more than that of Example 1:

[0097] After analysis, the four added secondary assessment factors (single assessment factors) are:

[0098] X11. Sea bottom quality;

[0099] X12. Number of seaweed species;

[0100] X13. Whether online monitoring is possible (referring to whether modern information technology is used to conduct real-time and continuous monitoring and data collection of the ecological environment, aquaculture organisms or facilities and equipment of the marine ranch);

[0101] X14. Number of staff and fishermen.

[0102] The qualitative factors include: X11. Sea bottom quality, X13. Whether it can be monitored online.

[0103] The quantitative factors are: X12. Seaweed species, X14. Number of staff and fishermen.

[0104] The paradoxical factors are: X11. Sea bottom quality, X13. Whether it can be monitored online.

[0105] The common factors are: X12. Seaweed species, X14. Number of staff and fishermen.

[0106] Establish a judgment matrix:

[0107]

[0108] Obtain a new weight vector A★=(0.123, 0.038, 0.101, 0.023, 0.069, 0.057, 0.047, 0.030, 0.011, 0.232, 0.161, 0.005, 0.083, 0.017).

[0109] The quantification of qualitative factors takes "X11. Sea bottom" as an example. According to the investigation, the sea bottom of Scheme 1 and Scheme 3 is mud and sandy mud, and the sea bottom of Scheme 2 is sandy mud and reefs. During the construction of marine ranches, reefs can provide more habitats and shelters for marine organisms, which is conducive to the survival and reproduction of various fish, shellfish and other organisms. In contrast, muddy bottom lacks this structural complexity and cannot provide a similar habitat; in addition, reef bottom can increase the fluidity of water, help dissolve oxygen and distribute nutrients, thereby improving water quality. In contrast, muddy bottom easily accumulates organic matter and pollutants, which has an adverse effect on water quality. Therefore, X7 of Scheme 2 is ranked 1, and X7 of Scheme 1 and Scheme 3 is ranked 2, and then substituted into the formula:

[0110] Scenario 1:

[0111] Scenario 2:

[0112] Solution 3:

[0113] Because "X11. Seabed quality" is a paradoxical relationship, it needs to be further transformed:

[0114] Scenario 1:

[0115] Scenario 2:

[0116] Solution 3:

[0117] Establish a new fuzzy relationship matrix of the membership degree of the single evaluation factor:

[0118]

[0119] The output result according to the linear weighted model is: B*=[0.1200.2390.641];

[0120] Use the coefficient of determination (R-squared) to assess how well the judgment value fits the total output value:

[0121] After calculation, the determination coefficient R* of the method in comparative example 1 is 2 ≈0.925, R* 2 <R 2 The fitting degree is lower than that of Example 1 of the present invention, which indicates that the number and type of single evaluation factors considered will affect the accuracy of the output results.

[0122] Comparative Example 2:

[0123] In order to verify the accuracy of the marine ranch construction benefit evaluation method based on the linear weighted transformation model in Example 1, 4 of the 10 single evaluation factors set in Example 1 were removed. The removed 4 single evaluation factors are:

[0124] Remove X1. Artificial reef area, X2. Total tonnage of supporting boats, X5. Area of ​​water covered by the marine ranch, and X6. Number of management and protection platforms; retain the remaining 6 individual evaluation factors in Example 1.

[0125] Establish a judgment matrix:

[0126]

[0127] A new weight vector A★*=(0.285, 0.045, 0.139, 0.067, 0.018, 0.445) is obtained.

[0128] Establish a new fuzzy relationship matrix of the membership degree of the single evaluation factor:

[0129]

[0130] The output results of the linear weighted model are: B** = [0.030 0.078 0.892];

[0131] Use the coefficient of determination (R-squared) to assess how well the judgment value fits the total output value:

[0132] The calculated determination coefficient R** 2 ≈0.9264, R** 2 <R 2 , the fitting degree is lower than that of Example 1, which indicates that removing the non-deterministic and indirect single evaluation factors in Example 1 will affect the accuracy of the output results.

[0133] Comparative Example 3:

[0134] In order to compare and verify the accuracy of the marine ranch construction benefit evaluation method based on the linear weighted transformation model, we used the dualism method to normalize each evaluation factor and compared it with the quantitative method of the present invention:

[0135]

[0136] Among them, Z is the actual measured value of the evaluation factor, Z min is the actual measured minimum value of the evaluation factor in the parallel scheme, Z max The actual measured maximum value for the evaluation factor in the parallel scheme;

[0137] The calculated evaluation matrix is:

[0138]

[0139] The evaluation results of the model output were used to calculate the evaluation values ​​of the three marine ranch engineering schemes. The output results were: B*** = [0.0125 0.456 0.704]

[0140] Use the coefficient of determination (R-squared) to assess how well the judgment value fits the total output value:

[0141] The calculated determination coefficient R*** 2 ≈0.68, R*** 2 <R 2 , the degree of fit is lower than that of the present invention, indicating that the judgment value output by normalizing each evaluation factor using the dualism method is significantly less accurate than that of the present invention.

[0142] In summary, the present invention takes into account the characteristics of existing marine ranch projects and the comprehensive budget, and comprehensively considers 10 individual evaluation factors (i.e., secondary evaluation factors) related to the five primary evaluation factors of infrastructure, biological resources, monitoring and management, economic output, and ecological protection. According to the established index system and weight number, the linear weighted transformation model is used to evaluate the construction benefits of marine ranches, thereby improving the accuracy and scientificity of the evaluation. The present invention can comprehensively and accurately evaluate the construction benefits of different marine ranch schemes based on various factors.

[0143] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for evaluating the benefits of marine ranching construction based on a linear weighted transformation model, characterized in that: The following steps are involved: Step S1, for n marine ranch project plans, five first-level evaluation factors are established, and relevant data of m second-level evaluation factors under the first-level evaluation factors are collected; wherein m and n are both positive integers; Step S2, constructing a judgment matrix based on the secondary evaluation factors; Step S3, calculating the weights of m secondary evaluation factors; Step S4, dividing the secondary evaluation factors into qualitative factors and quantitative factors according to their properties, and determining the paradoxical relationship between the secondary evaluation factors of the n marine ranch engineering schemes; Step S5, quantifying each secondary evaluation factor according to different properties and relationships of each secondary evaluation factor; Step S6, establishing a fuzzy relationship matrix of the membership of the secondary evaluation factors; Step S7, constructing a linear weighted transformation mathematical model; Step S8, using the model output evaluation results, calculate the evaluation values ​​of n marine ranch engineering plans, and evaluate the construction benefits of the marine ranch.

2. The method for evaluating the benefits of marine ranching construction based on a linear weighted transformation model according to claim 1 is characterized in that: In step S1, there are five primary evaluation factors for the n marine ranch project plans, namely infrastructure, biological resources, monitoring and management, economic output, and ecological protection; the five primary evaluation factors include m secondary evaluation factors, and the m secondary evaluation factors are: a. Primary assessment factors: Secondary assessment factors related to infrastructure are: X1. The area of ​​artificial reefs deployed, X2. The total tonnage of supporting vessels; b. Primary assessment factors: Secondary assessment factors related to biological resources are: X3. Number of stocks released for reproduction, X4. Raft area, X5. Area of ​​water covered by the marine ranch c. Primary evaluation factors: Secondary evaluation factors related to monitoring and management are: X6. Number of maintenance platforms; d. Primary evaluation factors: Secondary evaluation factors related to economic output are: X7. Total funds for marine ranch construction, X8. Output of aquaculture products (tons), X9. Economic benefits of the tertiary industry; e. Primary assessment factors: Secondary assessment factors related to ecological protection are: X1 0. Whether it is within the ecological protection red line.

3. The method for evaluating the benefits of marine ranching construction based on a linear weighted transformation model according to claim 1 is characterized in that: In step S2, a pairwise comparison method is used to construct a secondary evaluation factor judgment matrix to determine the secondary evaluation factor weights.

4. The method for evaluating the benefits of marine ranching construction based on a linear weighted transformation model according to claim 3 is characterized in that: In step S3, based on the secondary evaluation factor judgment matrix constructed in step S2, the weighted vector A of the secondary evaluation factors is calculated using the arithmetic mean method. m ), the weights of each evaluation factor satisfy:

5. The method for evaluating the benefits of marine ranching construction based on a linear weighted transformation model according to any one of claims 1 to 4, characterized in that: In step S4, a paradoxical relationship is defined according to the properties of the secondary evaluation factors. The definition method is: compare the same secondary evaluation factors in n marine ranch project plans. The natural number that is smaller than the larger is called a paradoxical relationship. The relationship between larger and smaller natural numbers is called a common relationship.

6. The method for evaluating the benefits of marine ranching construction based on a linear weighted transformation model according to any one of claims 1 to 4, characterized in that: In step S5, when quantifying the secondary evaluation factors, the same qualitative factors in the n marine ranch engineering schemes are evaluated and ranked from best to worst as 1, 2, 3, ..., n. If the evaluation results of two marine ranch engineering schemes are the same, they are ranked the same; The quantitative values ​​of the quantitative factors are the natural numbers of the secondary assessment factors investigated in each marine ranch project plan.

7. The method for evaluating the benefits of marine ranching construction based on a linear weighted transformation model according to claim 6 is characterized in that: In step S5, the qualitative factors and the quantitative factors are quantified according to the following mathematical model after the paradoxical relationship is determined: The evaluation factors are in a paradoxical relationship, and the quantitative formula is: The evaluation factors are general relations, and the quantitative formula is: Among them, Z i It is the quantitative value of the quantitative evaluation factor or the ranking value of the qualitative evaluation factor.

8. The method for evaluating the benefits of marine ranching construction based on a linear weighted transformation model according to claim 7 is characterized in that: In step S6, the fuzzy relationship matrix of the membership of the secondary evaluation factors is established as follows: Among them, r ji is the membership degree of the secondary evaluation factor, and its value is equal to the quantitative result X of the secondary evaluation factor. i .

9. The method for evaluating the benefits of marine ranching construction based on a linear weighted transformation model according to claim 8 is characterized in that: In step S7, the constructed linear weighted transformation mathematical model is as follows: Among them, B is the final score set of the marine ranch project plan, which is used for the final analysis and evaluation results; A composite symbol.

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