47 results about "Paired Analysis" patented technology

An embodiment of the invention discloses a transformer state evaluation method and system. State quantity indexes are normalized to obtain the health degree of the state quantity indexes, the subjective weight of each state quantity index is determined by an analytic hierarchy process in a fuzzy comprehensive evaluation theory, an objective weight corresponding to each state quantity is obtained by an entropy weight method and used for correcting the subjective weight to obtain comprehensive weight parameters of each state quantity index, the connection degree of each state quantity index and state classification is obtained by the aid of connection degree in a set pair analysis theory, and finally, data of evaluation results of a hierarchical index set of each unit are integrated by the aid of D-S evidence theory fusion rules to obtain state evaluation results of each sub-unit. Whether a transformer needs maintenance or not can be determined according to the state evaluation results, so that blindness of planned maintenance is avoided, and human and material resources needed by maintenance for the transformer are reduced.

An evaluation pair extraction unit analyzes a document which is present on a network to extract an evaluation pair composed of an object and an evaluation expression, and registers it in an evaluation pair database. An evaluation pair analysis unit executes analysis such as category estimation, specific evaluation expression extraction, and comparative analysis by utilizing the evaluation pair of the database. The evaluation pair is data in which the object and the evaluation expression are combined; wherein the object is a unique object including a commercial product name, maker name, or the like which can be evaluated, and the evaluation expression of the evaluation pair is a phrase representing evaluation including like, hard to use, or the like. An evaluation pair extraction unit gives an evaluation pair extracted from a model document to a machine leaner to cause it to learn a rule which can serve as an evaluation pair, and, after the learning, correctly combines an object with an evaluation expression from an unknown document to extract an evaluation pair.

The present invention provides a real estate evaluation method with multi-model integration, which includes the following steps: determining the real estate price influencing factor; constructing a real estate transaction case database according to the determined real estate price influencing factor; obtaining real estate transaction cases in relevant areas through the real estate to be evaluated; screening the real estate data to obtain comparable transaction cases; quantify the housing price impact factors and calculate the weights of housing price impact factors; use set pair analysis model, VIKOR model, fuzzy mathematical model, and neural network model to calculate relevant parameters respectively; correct the time of real estate transaction cases, and estimate Property prices to be appraised. The present invention adopts spatial information technology to establish a real estate database, and based on this, constructs a precise quantification method for real estate valuation factors and a batch evaluation mode for real estate prices fused with multiple mathematical models, which overcomes the subjective nature of price influencing factors in traditional single-model valuation methods The problem of uniqueness and the singleness of the valuation model.

The invention discloses a method and device for evaluating the operating state of a power transformer, belonging to the field of transformers, comprising: step 1: selecting an evaluation index for the operating state of the transformer, and constructing an evaluation model for the operating state of the transformer; step 2: dividing the operating state level of the transformer, and formulating the corresponding The scale interval of each operating state level; Step 3: Based on the analysis of the segmented triangular fuzzy number coupling set pair analysis, obtain the state deterioration connection degree of each evaluation index in the index layer; Step 4: Combined with expert experience, comprehensively apply fuzzy analytic hierarchy process and Similarity cluster analysis, assigning subjective constant weights to each evaluation index; Step 5: Determine the objective variable weights of each evaluation index based on the improved CRITIC weighting method, and combine the objective variable weights with the corresponding subjective constant weights; Step 6: According to the corresponding subjective and objective variable weights of the evaluation indicators, obtain the relationship degree of state deterioration between the project layer and the transformer as a whole. The invention can reasonably and accurately judge the running state of the transformer.

The invention discloses a rural power grid investment benefit comprehensive evaluation method based on improved set pair analysis, and the method comprises the steps: firstly, building an investment efficiency index system and an operation effect index system of a rural power grid; then, constructing an improved set pair to analyze a similar model, and solving coefficients of the model by using animproved whitening weight function; then, the objective weight of each index in the index system is solved by applying CRITIC; and finally, solving the connection degrees of all indexes of the assessment object by using the improved set pair model, and carrying out weighted synthesis to obtain the total connection degree of the assessment object as a final assessment result of the assessment object. According to the method, the problem that the rural power grid investment benefit level under the background of new energy grid connection and terminal energy substitution cannot be comprehensively and reasonably evaluated is solved, a rural power grid investment benefit hierarchical comprehensive evaluation index system is constructed, a set pair analysis model (SPA) is improved, and a whitening weight function solving method is provided for the SPA.

The invention discloses a water quality assessment method based on improved rough set-set pair analysis. The method comprises the following steps: firstly, a three-element connection number of the set pair analysis theory is extended to a six-element connection number which corresponds to corresponding grades, the connection degree of each sample is preliminarily calculated, the connection degree of the actually measured index value of each assessment index relative to the index grading standard is calculated, the importance degree and weight of each assessment index are calculated according to conditional information entropy of an improved rough set, the weight is combined with the connection degree of each assessment index, the connection degree of each assessment sample is obtained, finally, components are subjected to normalization processing, the average connection degree, shown in the specification, of the samples is obtained, and the grade represented by the maximum value is taken as the nutrition grade of the samples. The conditional information entropy of the improved rough set is combined with set pair analysis, so that influence of human factors on weight determination can be eliminated, worry about weight being 0 can be eliminated, and the method has rationality and effectiveness by integrating various indexes for assessment.

The invention discloses an establishment method for wavelet analysis and rank set pair analysis of a medium and long-term hydrological forecast model, which comprises the following steps of: combining a wavelet analysis method and a rank set pair analysis method, wherein the wavelet analysis method is mainly used for denoising an actually-measured hydrological time sequence to obtain a denoising sequence; and the rank set pair analysis method is mainly used for establishing a rank set pair forecast model and forecasting the subsequent value of the sequence. The establishment method has the beneficial effects that a WD-RSPA model, i.e. the medium and long-term hydrological forecast model established on the wavelet denoising basis is clear in establishment concept, simple in calculation and high in model forecasting precision; and the percent of pass is also improved. Therefore, the establishment method is a model forecasting method which is worth popularizing and applying.

The invention belongs to the technical field of image processing and particularly relates to a quick detection method of a ridge-type edge in an image. The method comprises the steps of (1) carrying out preliminary detection of all edge points of a ridge-type edge in an image, (2) realizing the precise detection of rising and falling edge points through an edge communication area, (3) reducing theimage to obtaining images of different scales, carrying out operations of step (1) and step (2) on an image of each scale, obtaining edge points at each scale, and carrying out fusion to complete original image edge detection, (4) extracting pixels at two sides of the ridge-type edge to be content of the ridge-type edge according to skeletal pixels in the edge communication area, and realizing the ridge-type edge content detection, and (5) eliminating a fractured ridge-type edge and further improving a detection result. According to the method, the pixel brightness distribution characteristics of the ridge-type edge are used, and the quick detection of the ridge-type edge in the image is realized through the pairing analysis of the rising and falling edge points.

The invention discloses a set pair analysis randomness source demonstration device and belongs to the technical field of a probability statistics demonstration instrument. The device comprises an input device, a funnel and a detection device, wherein the funnel is arranged between the input device and the detection device; the detection device is positioned below the funnel; the input device comprises a rotating disc and a driving motor for driving the rotating disc to rotate; a plurality of small holes with adjustable inner diameter are formed in the bottom of the rotating disc; the driving motor drives the rotating disc to rotate; the round centers of the small holes are positioned on the same circumference; the funnel comprises an upper opening, a shell with a cavity and a lower opening sequentially from top to bottom; the cavity is similar to a Y shape; and the upper opening is aligned with the small holes. The device is simple and easy to understand, relatively intuitively integrates set pair analysis theory into the device, and can be applied to occasions such as education demonstration, intelligence test, games for children, science popularization observation and random lottery.

The invention belongs to the field of electromagnetic environment reconstruction and particularly discloses an electromagnetic environment similarity evaluation method based on field intensity distribution. The method is characterized by at least comprising the following steps of step 1.respectively carrying out meshing on an actual evaluation area and a reconstructed evaluation area to obtain field intensity amplitudes of the actual evaluation area and the reconstructed evaluation area; step 2.giving four indexes, namely mean contrast, standard deviation contrast, a correlation coefficient and relative degree, and corresponding criterions corresponding to the indexes based on mathematical statistics and a set pair analysis theory; step 3.respectively establishing conversion functions according to the attributes of the four indexes in the step 2; and step 4.establishing a comprehensive evaluation function according to a result of the step 3, and carrying out normalization processing onthe comprehensive evaluation function to obtain an electromagnetic environment similarity evaluation function; and lastly, giving a criterion corresponding to the function. The method is used for evaluating the effectiveness of the reconstructed electromagnetic environment.

The invention relates to an evidence fusion and set pair analysis method for evaluating the aging state of a transformer, comprising the following steps: S1, constructing a transformer characteristicclass data set; S2, constructing a transformer t class data set; S3, constructing a correlation function between a transformer test class and a feature class data set; S4: constructing a mass function; S5, constructing a BPA output function; S6: transformer aging condition evaluation. By processing the aging state characteristic data and the experimental data of the transformer with random uncertainty, the correlation function and BPA output function with the same spatial structure can be constructed to evaluate the aging state of transformers and reflect the uncertainty of the eigenvalue of the aging state of transformers, which provides theoretical guidance for the evaluation of the aging state of transformers and necessary technical support for the operation and maintenance of distribution networks.

The invention provides a reference lake quantitative determination method based on human disturbance intensity. The reference lake quantitative determination method based on the human disturbance intensity mainly includes: 1) in a target area, determining candidate reference lakes in the area, applying a principal component analysis method to determine human disturbance intensity indexes of lake basins, and establishing an evaluation index system and grade standards of the candidate reference lakes; 2) determining evaluation index weight, comparing importance of evaluation indexes of the candidate reference lake in pairwise mode, establishing a fuzzy complementary judgment matrix A based on a hierarchical structure, and performing consistent judgment on the matrix A, wherein the matrix A=(aij) 6*6, and 0<=aij<=1, aij+aji=1; 3) calculating single index connection degree between the candidate reference lakes and evaluation grades and comprehensive connection degree between the candidate reference lakes and the evaluation grades by using a set pair analysis method under the evaluation indexes of the candidate reference lakes; and 4) evaluating grades of the candidate reference lakes, and determining the reference lakes. The reference lake quantitative determination method based on the human disturbance intensity has important and real meaning for quantitative selection of the reference lakes and protection, evaluation and management of lakes.

The invention relates to a high-order airspace hiding method for resisting sample pair analysis. The information hiding technology is a new research topic in the information security field in recent years. The technology is to hide secret information in other carriers to go beyond the awareness of people so as to ensure the security of secret information. The high-order airspace hiding method for resistable sample pair analysis comprises the following steps: finding a pixel point capable of performing high-order hiding in a carrier gray level image with a size of N1xN2, converting the to-be-hidden secret image with a size of M1xM2 into binary information stream, determining on which position of the carrier image the binary information stream is hidden through Logistic chaos mapping, the Logistic chaos mapping formula being Z(n+1)=4Zn(1-Zn), wherein Zn belonging to (0,1); if the secret information is identical to the bit information, substitution is not performed, and otherwise, substitution is performed, then necessary compensation algorithm is performed to control the variation range of the pixel points within four pixels, then repeating the process till all information is hidden. The invention is used for information hiding technology.

The present invention relates to a four-element connection number four-based symptom-oriented medicine use evaluation and prediction method and system. The method includes the following steps that: S1, symptom items are established through observation, listening, interrogation and pulse-taking in traditional Chinese traditional Chinese medicine; S2, curative effect evaluation is performed on the symptom items in the S1; step S3, the curative effect four-element connection number mu(gt) of the items of observation, listening, interrogation and pulse-taking is obtained, wherein the mu(gt) can becalculated according to an equation that mu(gt)=at+bti+ctj+dtk, wherein t is equal to 1, 2, ..., 16; S4, the third-order all-partial-connection numbers of the curative effect four-element connectionnumber mu(gt) are calculated, wherein the third-order all-partial-connection numbers can be calculated according to an equation described in the descriptions of the invention, and the third-order all-partial-connection numbers are sequenced according to a large-to-small order; S5, the ratio Eta of the numbers of people, which can be calculated according to an equation that Eta=the total number ofeffectively cured people / the number of invalidly cured people is sequenced according to a large-to-small order; and S6, the sequential number of the value of Eta of the same item is contrasted with the from-large-to-small sequential numbers of the third-order all-partial-connection numbers of the item. With the method and system adopted, medicines can be increased and decreased correctly accordingto symptoms, and the improvement of the curative effect of the traditional Chinese medicine can be facilitated; and the set pair analysis-based four-element connection number can be used for quantitative research of relationships between symptom-oriented medicine increase and decrease and curative effects and can play a role of evaluation and prediction.

The invention discloses an inference method facing to indefinite context of general fit calculation, which uses set pair analysis technology and related coefficient concept to infer and integrate primary context data sensed by a bottom sensor so as to acquire a high-layer context information technical proposal in a general fit calculation environment, and uses the set pair analysis technology and vector correlation coefficients to achieve quick, convenient, intuitive and reliable inference for the indefinite context; and the set pair analysis method effectively reflects the opposite unity relation of definite-indefinite systems, accords with natural dialectics and human thinking mode, and has the significance of methodology. In various actual context sensing applications, the set pair analysis method is simpler, more convenient and more effective to describe indefiniteness than the methods using probability theory, fuzzy set and the like. A connection degree expression is written to a form of vector for short as mu (W) = (a, b, c), and is named as identity-diversity reverse vectors of the set pair. The cosine of an included angle between the identity-diversity reverse vectors reflects the closing degree of the identity-diversity reverse vectors, when the cosine value of the included angle is larger, the difference is smaller, and the similarity is larger.

The invention relates to a water inrush source discrimination method, belongs to the technical field of coal mines, and particularly relates to a coal mine water inrush source discrimination method. The method comprises: combining a combination weight and improved set pair analysis; establishing a combined weight set pair analysis model; using the objective weight of entropy weight calculation and the subjective linear combination of improved analytic hierarchy process calculation as the combination weight. The problems that recognition factor weight calculation is inaccurate and calculation is difficult are solved. The problem that the membership degree of the water inrush source is difficult to determine is solved through the set pair model, and the recognition accuracy of the water inrush source is improved through the water inrush source recognition method.

The invention discloses a transformer state fuzzy set pair evaluation method based on matter-element augmentation extensive correlation, comprising steps of performing classification on a transformer fault sample set according to a set fault type, performing equivalent augmentation on the classified fault sample sets through a random weighting method, constructing a fault type-fault symptom correlation identification matrix based on augmented fault sample sets to obtain a reduced correlation frequency fault set matrix of each fault type and an optimized fault symptom constant weight coefficient, constructing a transformer fault symptom set data dictionary classical domain and a joint domain through combination with a matter-element extensive theory so as to obtain a matter-element correlation function of each fault symptom and solve a variable weight coefficient corresponding to each fault type, calculating an identical discrepancy contrary evaluation matrix needed by the transformer state evaluation through the ladder-ridge type fuzzy membership function, and obtaining a set pair analysis multi-element relation degree of each fault type and the transformer integral operation state by combining with the optimized variable weight coefficient to realize the analysis and evaluation on the transformer operation state.

The invention discloses a spatial load prediction method based on a rank set pair analysis theory. The method is characterized by comprising the following steps: in a power geographic information system, generating I-type cells according to the power supply range of each 10kV feeder line in a to-be-predicted area, and generating a plurality of historical data sets and a target data set from the historical load data of the I-type cells according to different set capacities; obtaining a corresponding rank order set through rank order transformation, and respectively forming a set pair by each historical data rank order set and the target data rank order set; respectively carrying out set pair analysis on the set pairs under different capacities, determining a load prediction value of each I-type cell by searching a historical data set similar to a target data set, and selecting the prediction value corresponding to the set capacity with the minimum relative error as the load prediction value of each I-type cell; and generating II-type cells by using equal-size grids, and solving load prediction values of the II-type cells according to the I-type cell load prediction values and the land use information so as to obtain a gridded space load prediction result.

The invention relates to an evidence fusion and set pair analysis method for transformer health condition assessment, comprising the following steps: S1, constructing a transformer characteristic class data set; S2, constructing a transformer t class data set; S3, constructing a correlation function between a transformer test class and a feature class data set; S4: constructing a mass function; S5, constructing a BPA output function; S6: assessing the health status of the transformer. The invention performs set processing on transformer state characteristic data and experimental data with random uncertainty, the correlation function and BPA output function with the same spatial structure can be constructed to evaluate the health status of distribution transformers and reflect the uncertainty of the eigenvalues of the health status of transformers, which provides theoretical guidance for the health status assessment of distribution transformers and the necessary technical support for the operation and maintenance of distribution networks.

The invention discloses an IgG2 type monoclonal antibody disulfide bond pairing analysis method. The method comprises the steps: 1), carrying out denaturating treatment on a protein; 2), under non reducing conditions, carrying out enzymolysis on the protein after the denaturating treatment by using a specific enzyme; 3), dividing the protein after enzymolysis into two samples, adding DTT to one sample and reducing, allowing the other sample not to be reduced, and making enzymolysis of both of the two samples terminated; and 4), carrying out mass peptide spectrogram analysis of a disulfide bond peptide fragment of the samples having enzymolysis terminated. The method can overcome various complicated enzyme digestion treatment ways, adopts a single enzyme trypsin for enzymolysis of the antibody protein under the non reducing conditions, can exclude the space steric hindrance effect of an antibody protein special amino acid sequence during enzymolysis of the protein, can accurately confirm and position the disulfide bond peptide fragment, and can detect a mismatched disulfide bond peptide fragment.

The invention discloses a water resource bearing capacity evaluation method based on the cloud theory and SPA, and belongs to the technical field of water resource bearing capacity. The method comprises the following steps of 1, constructing a regional water resource bearing capacity evaluation system, and obtaining the related index data of the water resource bearing capacity of a to-be-studied region; 2, according to regional water resource and economic and social development characteristics, determining a water resource carrying capacity evaluation grade and a water resource carrying capacity evaluation standard; 3, calculating an index weight through a cloud theory; and 4, calculating a membership degree based on a set pair analysis (SPA) method to obtain a comprehensive evaluation result. According to the present invention, by starting from the three aspects of the total water resource amount, the water resource strength and the ecological environment, a set of regional water resource bearing capacity evaluation method with the universal applicability is established, and a scientific basis is provided for the strictest water resource management and the water ecological civilization construction.

The invention discloses a power transformer fault deduction method, which fuses the substance element augmented extension association mining and fuzzy set pair analysis, improves the influence of thesample set imbalance on the correctness of transformer state feature association extraction, reduces the influence of subjective dependence of a constant weight calculation process on transformer fault diagnosis and state evaluation effectiveness, provides a clearer and more objective theoretical guidance for the field operators to clearly quantify the internal association between the power transformer fault symptom and the fault type, provides the reliable theoretical and technical supports for the operators to select operation and maintenance overhaul means, realize power transformer fault backtracking and improve fault positioning analysis efficiency, and provides the solid technical support for the further online real-time deduction and the rapid hidden danger positioning of the powertransformer fault based on the virtual reality technology, and guarantees the safe and stable operation of a power system.

The present invention relates to a method for diagnosing and treating chronic skin ulcer by using a set pair analysis-based yin-yang balance equation and a system. The method includes the following steps that: the clinical symptoms of a patient are compared with a chronic skin ulcer yin-yang syndrome differentiation reference indication table, so that the chronic skin ulcer yin-yang syndrome differentiation quantification table of the patient is obtained; the yin-yang balance equation of the patient is obtained according to the quantification table; and corresponding traditional Chinese medicines are selected according to quantification symbols on meridians in the yin-yang balance equation so as to cure the chronic skin ulcer. The system comprises a clinical symptom recording module, a patient chronic skin ulcer clinical yin-yang syndrome differentiation quantization table generating module, a medicine recording module, a medication guiding module and a phased treatment efficacy evaluation feedback module. The invention also relates to a method for judging the stage of a chronic skin ulcer disease and time required for curing the disease on the basis of a set pair analysis-based yin-yang balance equation, and a method for judging the treatment level of the traditional Chinese medicine for chronic skin ulcer on the basis of a set pair analysis-based yin-yang balance equation. With the methods of the invention adopted, the modernization of the syndrome differentiation and treatment theories in the traditional Chinese medicine for the chronic skin ulcer can be benefitted.

The invention relates to an antibody protein disulfide bond paired analysis method. The method sequentially comprises the following steps that 1, N-saccharide removing treatment is conducted on protein; 2, denaturation treatment is conducted on the protein subjected to N-saccharide removing; 3, enzymolysis is conducted on the protein subjected to denaturation treatment through a specific enzyme under the non-reductive condition; 4, the protein subjected to enzymolysis is divided into two samples, reduction is conducted on one sample, the other sample is not subjected to reduction, and the two samples are both subjected to enzymolysis termination; 5, mass peptide spectrum analysis is conducted on disulfide bond peptide segments of the samples subjected to enzymolysis termination. According to the antibody protein disulfide bond paired analysis method, the spatial steric hindrance of N-saccharide to protein enzymolysis conducted through the specific enzyme and inhibition to peptide segment ionization efficiency in the prior art are overcome, enzyme digestion ways are reduced, and the disulfide bond peptide segments can be confirmed and positioned accurately.

The invention discloses a power transmission equipment defect analysis method and system based on set pair analysis and K-means clustering. The method comprises: acquiring power transmission equipmentdefect discrete data and power transformation equipment asset data; performing K-means clustering division on defect data in the defect discrete data of the power transmission equipment; carrying outheterogeneous data isomorphism processing on the defect data after the K-means clustering division; establishing an equipment and defect association relationship based on the defect data after isomorphism processing and the acquired power transformation equipment asset data; performing unified analysis on the established equipment and defect association relationship to establish preliminary cluster defect information, and generating a final cluster defect library through probability analysis and proportion analysis; and analyzing the defects of the power transmission equipment based on the generated final cluster defect library. The method can provide scientific and effective help for analysis and processing of defects of power transmission and transformation equipment, lays a foundationfor early warning of defect faults, and is beneficial to supporting safe and stable operation of a power grid.

The invention relates to application of set pair analysis in representative prescription use law research. The application includes the following steps that: step S1, the name of a disease is selected, representative prescriptions which are reported in literature and are used for treating the disease are screened out; step S2, a four-element connection number method is adopted: the clinical efficacies of the representative prescriptions screened out in the step S1, namely "cured", "significant effect", "improved" and " inefficient " are a four-element connection number which is expressed as anequation that Mu=a+bi+cj+dk in set pair analysis; step S3, a distance to a perfect efficacy is calculated: a distance between the four-element connection number of each prescription which is expressed as an equation that Mut=at+bti+ctj+dtk and the four-element connection number of the ideal perfect efficacy which is expressed as an equation that Mu=1+0i+0j+0k; and step 4, medication laws are searched: the medication laws of some prescriptions in all the representative prescriptions are examined, wherein the system efficacies of the certain prescriptions rank first three places, and the prescriptions are clustered according to medication frequencies; and step 5, comparative discussion is carried out. With the application of the invention adopted, general medication laws in different syndrome differentiation and treatment prescriptions are explored; the efficacies of all the representative prescriptions are sequenced according to the merits and demerits of the representative prescriptions on the basis of total efficacy rates; and therefore, clinical efficacies can be improved.