221 results about "Fuzzy analytic hierarchy process" patented technology

The invention relates to an information system security risk assessment model based on a combined assessment method. The model integrates the advantages of qualitative analysis and quantitative analysis, defines a reasonable index hierarchical structure and an algorithm flow and has a core idea of collecting current risk assessment methods into a method base. In assessment, data envelopment analysis (DEA) based on fuzzy comprehensive evaluation is firstly used to screen out a plurality of methods aiming at the highest performance value of an assessment system, and then the assessment results of the screened methods are combined according to fuzzy analytic hierarchy process (FAHP) to solve the problem of inconsistent result of assessment by a plurality of methods and achieve the goal of more scientific and reasonable assessment for information system risk grade.

The invention discloses a highway tunnel traffic accident risk evaluation method based on fuzzy analytic hierarchy process. The method includes the following steps: formulating a plurality of evaluation indices to obtain an evaluation index domain, dividing a highway tunnel into three research sections, establishing respective index system for each research section; formulating a plurality of evaluation levels to obtain an evaluation level domain; separately computing the fuzzy degree of membership of respective evaluation index to respective evaluation level, constructing a degree of membership matrix; computing a weight vector of the evaluation indices; on the basis of the weight vector and the degree of membership matrix, synthesizing a comprehensive evaluation vector; computing a risk value, on the basis of the risk value, determining risk conditions. According to the invention, by using the fuzzy matrix and the application of the analytic hierarchy process to risk evaluation, the method can analyze respective uncertain factor and index that appear in the course of risk evaluation; by setting a first level index and a second level index, the method can consider from a multiple aspects and can deliver more comprehensive analysis by dividing the tunnel into three regions and make related talks, the method herein takes the minimum evaluation value as a final evaluation result. The evaluation is more much reasonable.

An optimal site selection device for a distributed wind power plant based on a fuzzy analytic hierarchy process comprises a DSP (Digital Signal Processor) module, a keyboard input module, a liquid crystal display module, a communication module and a host computer. An optimal site selection method for the distributed wind power plant based on the fuzzy analytic hierarchy process comprises the following steps: dividing candidate wind energy resource zones in a region rich in wind energy resources, determining an evaluation index system for the site selection of the wind power plant, determining the hierarchical structure of a scheme for the site selection of the wind power plant, judging the cognition degrees of experts on selected sites for the wind power plant by an expert group judgment and group decision method to obtain the cognition degree parameters of all the experts, and constituting a criterion layer judgment matrix and an index layer judgment matrix for the site selection of the wind power plant; and finally ranking the candidate wind energy resource zones by advantages and disadvantages and determining one site for the wind power plant. Compared with the traditional analytic hierarchy process for site selection, the method has the advantages that factors are fully considered, the examination and the regulation of the consistency of the judgment matrixes are simple, easy, scientific and reasonable, and results are scientifically analyzed. The device has the advantages that through the operation processing process of the DSP, the site selection period can be shortened, and the site selection efficiency can be increased.

The invention discloses a comprehensive evaluation method and system of an overall state of a transmission cable. The method comprises the steps of determining an evaluation factor set U, a state set V and a factor and state matrix W based on the transmission cable, establishing a judgment matrix R based on the transmission cable, determining an evaluation factor weight vector A, conducting fuzzy comprehensive operation, and using a maximum membership degree principle to fuzzify to obtain a final result of state evaluation. According to the technical scheme, the respective advantages of fuzzy mathematics and an analytic hierarchy process are combined, and the analytic hierarchy process is used for conducting comprehensive evaluation on the entire state of the transmission cable.

The invention discloses a regional multi-airport abnormal flight recovery method based on risk management and control. The method includes: firstly, a regional multi-airport flight scheduling model isconstructed, secondly, the fuzzy analytic hierarchy process is used to quantitatively evaluate the risk value of relevant dangerous events in each unit, finally, a regional multi-airport abnormal flight restoration model based on risk management and control is constructed, and the actual flight restoration method is applied to the algorithm neighborhood solution generation mechanism according tothe characteristics of the model, and a multi-objective optimization algorithm based on intelligent neighborhood selection is designed to solve the model. The invention can be applied to the problem of abnormal flight restoration of regional multi-airports. Through consideration of the resource constraint of regional multi-airport system coupling, the potential safety risks of the key dangerous events in the abnormal flight-induced system is controlled in a targeted manner and the flight recovery plan of the regional multi-airport system is coordinated from the overall perspective, so that theabnormal flight recovery plan of the regional multi-airport system has higher safety and maneuverability. The method has a broad promotion and application prospect.

The invention provides a comprehensive evaluation index system of a ship routing scheme and a combined evaluation method thereof. The comprehensive evaluation index system comprises a quantitative index and a qualitative index, wherein, the quantitative index comprises an efficiency index and the qualitative index comprises a safety index and a performance index. The combined evaluation method comprises the following steps: determining a qualitative evaluation index value by a group decision making method; determining a quantitative index value of the scheme by an entropy method and a fuzzy analytic hierarchy process (FAHP); and realizing ordering and optimization of the scheme based on a technique for order preference by similarity to ideal solution (TOPSIS). Compared with the traditional comprehensive evaluation index system of the ship routing scheme and the evaluation method thereof, the comprehensive evaluation index system and the evaluation method thereof of the invention increase analysis evaluation of the quantitative index, thus the index system is more complete; and by combination of quantitative evaluation and qualitative evaluation, expert knowledge is integrated into the decision-making process preferably, thus being more practical and more flexible.

A method for evaluating the power distribution network electrical equipment state based on historical data trend prediction comprises the following steps: at first, performing the longitudinal historical data evaluation on electric equipment state quantity data, and correcting bad data or wrong data through smoothing; then, dividing the data into two types to be processed according to the state quantity data dispersion degree; for the data with smaller dispersion degree, considering the mathematical expectation of historical data as current data quantity data; for the data with larger dispersion degree, adopting a grey prediction method to obtain the predicted value of the state quantity data of the current time node, and finally adopting a fuzzy analytical hierarchy process to evaluate the power distribution network electrical equipment state. The state quantity data of the current time node is predicted according to the development tendency of the state quantity historical data, data is guaranteed to reflect the state of the current equipment effectively, and the credibility of the data quantity data is improved, so that the accuracy of the state evaluation result of the power distribution equipment is ensured finally.

The invention discloses an evaluation method applied to the field of risk analysis of a railway signal system. The method comprises the steps of firstly, formulating the levels of risk of the railway system, expressing a cloud model for evaluating the levels of risk by a forward cloud generator of a MATLAB simulation software, and generating a standard risk grade evaluation set cloud model figure; marking the failure mode of a function by an expert according to the formulated levels of risk to obtain a risk factor set, and converting the risk factor set into a comprehensive evaluation matrix R; utilizing an analytic hierarchy process to obtain risk factor set weight coefficients corresponding to all parameters in the risk factor set by the expert, and calculating a comprehensive evaluation result cloud model figure by fuzzy synthetic operator; comparing the comprehensive evaluation result cloud model figure with the standard risk grade evaluation set cloud model figure to obtain the level of risk of the comprehensive evaluation result. After the method is adopted, the risk evaluation result is more objective and accurate.

The invention discloses a model-driven and data-driven fused power grid operation situation awareness method and system, and the method comprises the steps: key element mining: removing the excessiveoverlapping factors of operation index information through employing a principal component analysis method based on model driving, and constructing a power grid operation situation evaluation system which is used for representing the operation track of a power grid; situation understanding: evaluating the current running state by utilizing a fuzzy analytic hierarchy process based on model driving;situation prediction: utilizing an LSTM-attention mechanism based on data driving to complete perception of the security situation of the power grid through sample data training learning; and throughsample data training learning, completing perception of a power grid security situation. Results prove that the model driving and data driving fused power grid operation situation awareness method serves as a scientific, reasonable and comprehensive power grid regulation and control situation awareness system and can be accurately suitable for awareness of the current operation state of a power system.

The invention discloses a construction method of a tilapia fillet quality evaluation model based on proteins and enzymes in muscle. According to the method, indexes of quality evaluation are determined according to factors causing quality changes of tilapia; the weight of each quality evaluation index is acquired by utilizing a fuzzy analytic hierarchy process, so that a relationship between subjective evaluation standard and objective evaluation standard can be established; and a quality evaluation model is established according to the weight, and an unknown sample can be subjected to quality evaluation. The method can effectively and subjectively evaluate the quality of tilapia fillet. The system can be used by manufactures and import and export companies in the industry to complete quality evaluation of the tilapia fillet.

The invention discloses a relay protection state evaluation method and system based on a generalized evidence theory. The relay protection state evaluation method based on the generalized evidence theory comprises steps of adopting a cloud model function to replace a fuzzy membership degree function to solve a membership degree of an evaluation index to a relay protection operation state according to a state quantity of an evaluation relay protection state, calculating a device weight based on an improved fuzzy hierarchy analytical method, calculating a device fuzziness determination result, processing to obtain initial probability distribution of the generalized evidence theory and fusing evaluation index information to obtain a state of the device. The relay protection state evaluation method and system adopt a confidence coefficient to distribute importance degrees between indexes and reduce fusion conflicts among data; compared with a traditional evidence theory, the data fusion speed of the generalized theory is fast; and the relay protection state evaluation method and system of the invention provide a novel practical technology scheme for relay protection state evaluation under a big data background.

The invention discloses a coupling certainty and uncertainty analysis fire risk evaluation method. The method comprises steps that S1, risk factors are identified, and a fire risk evaluation system isestablished; S2, a fuzzy analytic hierarchy method is utilized to determine the index weight of each risk factor; S3, the fuzzy theory is utilized to combine with the confidence to calculate the firerisk of each single factor; S4, the evidence reasoning operator is utilized to synthesize the fire risk of each single factor; S5, an expected utility value is utilized to acquire the clear evaluation result; and S6, the sensitivity analysis method is utilized to verify feasibility of a model.

The invention relates to a multi-factor fuzzy theoretical reasoning and analytic hierarchy process-based satellite comprehensive effectiveness evaluation method. The method comprises the steps of carrying out hierarchy division; obtaining an evaluation index system set; dividing the hierarchy by using different weight values; for a specific index, selecting a possible evaluation result; performingsingle-factor index evaluation from bottom to top; establishing a multi-factor fuzzy membership degree set; establishing a multi-factor fuzzy membership degree weighting index; carrying out the comprehensive hierarchy judgment; confirming a comprehensive judgment result ; and carrying out the efficiency result iteration operation.

The invention discloses an information system health degree evaluation method based on FAHP_FCA combined weighting, and belongs to the field of information system operation and maintenance evaluation.The method comprises the following steps: 1. Constructing a calculation model; 2, calculating that subjective and objective combination weights through the calculation model; 3, calculating that health degree by combining the index operation dimension data and the subjective and objective combination weight; 11) using the DEMATEL method to synthetically consider that horizontal and vertical influencing factor of the index hierarchy to carry out weighted optimization on the fuzzy analytic hierarchy process base on the index evaluation system, and obtaining the index weights assigned subjectively; Factor analysis is used to optimize the process of principal component analysis based on the index evaluation system, and the weight of the index is obtained objectively. The invention solves theproblem that the traditional weighting algorithm adopted when the AHP and the PCA are used for combined weighting is only applicable to a simple structure, and the information system with single dataleads to poor evaluation rationality and accuracy, and achieves the effect of improving the rationality of the subjective evaluation and the accuracy of the objective evaluation.

To solve the selecting problem of a heterogeneous wireless network, the invention provides a network selection method based on an interval triangular fuzzy number, considering the uncertainty and irregularity of different parameter variations of various networks. The method constructs an optimization model combining subjective and objective weights to obtain an optimal weight, the subjective weight is obtained by a fuzzy analytic hierarchy process, and the objective weight is obtained by an entropy method. When a decision matrix is constructed, considering the uncertainty of network parameters, the interval triangular fuzzy number is used for processing data, and the sorting of the networks is achieved finally based on an improved gray correlation analysis method. The method in the invention can effectively reduce the switching times of terminals relative to other methods, and has better performance in terms of network parameters (time delay, time-delay jitter and throughput capacity).

The invention relates to a fuzzy analytic hierarchy process-based robot cleaner intelligent characteristic grade evaluation method. The method comprises the following steps of: S1, establishing an intelligent characteristic grade evaluation index system of a multilayer structure; S2, determining weight vectors of all levels of evaluation indexes of the index system by using an analytic hierarchy process; S3, determining a fuzzy judgement matrix of each evaluation index by using a fuzzy comprehensive judgement method; S4, carrying out compositional operation on the weight vectors, determined by using the analytic hierarchy process, of the indexes and the fuzzy judgement matrixes determined by using the fuzzy comprehensive judgement method so as to determine a fuzzy relationship matrix; and S5, normalizing the fuzzy relationship matrix, and determining robot cleaner intelligent characteristic grades according to a maximum membership degree principle. According to the method, scientific and reasonable evaluation is carried out on robot cleaner intelligent characteristic grades, so that references are provided for enterprise production, market supervision and consumer selective purchasing, and referential significance is provided for the evaluation and research of intelligent degrees of other intelligent household appliances.

The invention belongs to the technical field of radar, and in particular relates to a real-time evaluation method for anti-interference performance of radar. The method comprises the following steps: firstly analyzing technical and tactical indicator change of the radar in an interference environment; selecting an initial indicator to establish an initial indicator system; then reducing the initial indicator system through a rough set attribute reduction method; establishing a basic indicator used during final evaluation of the performance; establishing a fuzzy analytical hierarchy process-based anti-interference performance evaluation model of the radar; obtaining a group decision matrix through a Delphi algorithm; then ordering the decision matrix by using a chi-square least square method; constructing a final comprehensive weight vector to finally obtain the anti-interference performance result of the radar. Through the method, the anti-interference performance of the radar is more accurately evaluated, the interference mode in the real-time environment can be recognized by using an interference type recognition algorithm, and the corresponding evaluation model is automatically selected to calculate the anti-interference performance of the radar, so that the performance loss of the radar in the real-time interference environment can be obtained.

The invention discloses a variable-weight fuzzy comprehensive state evaluation method for relay protection considering variable membership degree. At present, the entropy method is only used to establish the constant weight coefficient, and the historical monitoring data is excessively relied on. At the same time, its linear model can only be evaluated simply, and the weight of the scoring items is fixed, so the accuracy of the evaluation needs to be improved. The present invention adopts the combined constant weight calculation method of the entropy value method and the fuzzy analytic hierarchy process, introduces the variable weight theory at the same time, constructs the penalty-incentive type variable weight function with different amplitudes, and establishes the combined variable weight phasor; combined with the fuzzy discrimination theory , constructed a variable membership function model based on variable coefficients and normal distribution, and considered the dynamic correction of the membership degree fuzzy discrimination matrix, proposed a dynamic correction method for the fuzzy matrix with more obvious effects, and finally selected the weighted average algorithm The sub-calculates the fuzzy evaluation result. The invention can accurately reflect the actual state of the relay protection equipment, and improves the accuracy of evaluating the state of the relay protection.

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 disclosed optimization method for forging and forming comprises: selecting the blank, mould and other devices every met some optimal value and weighing data; combining numerical simulation and multi-objective optimization technology to process data during analysis, determining the weighing value for MOO by AHP, and presenting a quantitative evaluation method. This invention improves optimization precision greatly, and cuts process design period.

The present invention relates to a CAN data-based driver comprehensive quality evaluation method. The method comprises a first step of acquiring a latitude and a longitude, an engine rotation speed, a vehicle speed, a steer wheel rotation angle, an oil consumption, a throttle angle, and a brake pedal state, and calculating instantaneous oil consumption, acceleration, and a ratio of the engine rotation speed to the speed; a second step of determining evaluation factors, including a steering wheel rotation angle entropy H (theta), a steering wheel rotation angle rate V<theta>, a motor vehicle speed entropy H (v), an acceleration absolute value a, an acceleration strength V, a positive acceleration a, and a ratio phi of the engine rotation speed to themotor vehicle speed; a third step of establishing weight alpha of a single factor in evaluation of the driver comprehensive quality by using a vague layer analysis method, and establishing a desired weight vector Q; a fourth step of establishing as few as membership functions, and resolving a single factor vague determining matrix R; and a fifth step of resolving a determining vector theta=Q*R, and analyzing and resolving to obtain a determining set for evaluating the driver comprehensive quality. The method combines quantitative algorithm and qualitative algorithm, so as to evaluate the driver comprehensive quality and improve the evaluation accuracy.

The invention provides an orderly power utilization decision method of a user on the basis of a fuzzy analytic hierarchy process. The orderly power utilization decision method comprises the following steps: determining a comprehensive assessment index system of the orderly power utilization value of the user; calculating the weight of the orderly power utilization value assessment of the user by each index system; obtaining the relevant power grid operation data of each index, and collating and analyzing the data; calculating the orderly power utilization comprehensive value of the user; and according to a calculation result, optimizing an orderly power utilization decision. The orderly power utilization decision method comprehensively reflects the applicability and the importance degree of the user, considers the fairness and the scientificity of an orderly power utilization scheme from a user side and is favorable for realizing the optimal configuration of resources and improving efficiency. A fuzzy analytic hierarchy algorithm improves an expert judgment matrix, forms a fuzzy consistency judgment matrix, combines a normalization method or a root method with a characteristic vector method and comprehensively applies quantized basic data in the orderly power utilization information of the user, an analysis result of the orderly power utilization value of the user can be better matched with the practical situations of the user through expert assignment, and the objectivity of an assessment result is enhanced.

The invention relates to a bridge hanging basket construction risk assessment method based on a fuzzy analytic hierarchy process. The method comprises the steps that a bridge construction project hanging basket construction safety risk assessment index set is determined; according to expert evaluation opinions, a judgment matrix is obtained through comparison of every two factors, the maximum feature value and weight of the judgment matrix are calculated, and whether consistency of the judgment matrix passes or not is checked; a grade matrix of a single criterion layer is determined by using atrapezoidal membership function, and a primary fuzzy evaluation matrix is obtained via calculation; and finally, a step of comprehensively carrying out secondary fuzzy comprehensive evaluation on themain criterion layer is conducted to obtain a risk evaluation result. The safety condition of the bridge hanging basket construction system is evaluated through the fuzzy hierarchy method, and the method has the advantages of being simple in design, convenient to implement, comprehensive in consideration factor and the like; meanwhile, according to a construction site and a safety system of the construction site, uncertain influence factors causing bridge hanging basket construction accidents can be converted into a model capable of conducting quantitative calculation, and therefore scientific reference is provided for preventing and controlling the hanging basket construction accidents.

The present invention discloses an evaluation method for a machine beam design scheme by using the fuzzy analytic hierarchy process. The method comprises the following steps: determining a beam designrequirement through investigation and consultation, mapping the beam design requirement to a beam engineering characteristic index, and converting the beam design requirement into a beam design element; screening a design element parameter combination to formulate the beam candidate scheme, and carrying out the three-dimensional modeling to obtain a beam engineering characteristic simulation value; and establishing a beam design scheme evaluation system, using the fuzzy analytic hierarchy analysis process to establish a fuzzy judgment matrix for the relative weight calculation, and solving the differentiation influence degree of the beam engineering characteristic index on each scheme so as to obtain the final score of the beam design scheme and to determine the optimal scheme. Accordingto the method disclosed by the present invention, the customer demand is emphasized, the weights of the factor indexes which affect the beam design scheme evaluation is comprehensively considered, theproblem of multi-level and fuzzy beam design scheme comprehensive evaluation is solved, and the method has the characteristics of flexibility, conciseness, easy program-programming, and the like.

The invention provides a power transformer risk assessment method based on a fault tree. The power transformer risk assessment method comprises the following steps that 1) according to the given fault tree, fuzzy judgment matrixes R are built by using the fuzzy analytic hierarchy process; 2) according to the fuzzy judgment matrixes R, a constraint programming problem equation set is written out, wherein the severity weights omega i of various fault causes are obtained according to the constraint programming problem equation set, and the severity weights vector W satisfying the equation that W=[omega 1, omega 2,...omega n](T) is obtained; 3) according to the severity weights vector W, the optimal solution of the severity weight omega i enabling an adaptive value Z to be minimum is obtained; 4) the optimal solution of the severity weight omega i is substituted into the formula (4) to obtain the risk coefficients of the fault causes of a transformer. According to the power transformer risk assessment method, matrixes achieving fuzzy judgment consistency do not need to be built, and risk of the transformer can be assessed under the circumstance that the fuzzy judgment matrixes are not consistent; compared with the method in which the matrixes achieving fuzzy judgment consistency have to be built in the prior art, the power transformer risk assessment method is simple in algorithm, rapid and relatively high in precision.

The invention provides a decision-making method for the state overhaul of transformers. The method comprises the following steps: (1) reading data relative to each transformer, wherein the data comprises routine experimental data, on-line monitoring data and manual inspection data; (2) utilizing the analytic hierarchy process of a triangular fuzzy number to perform a fuzzy analytic hierarchy process for the relative data, thereby acquiring the optimal overhaul decision-making scheme for the transformers. The invention also provides a decision-making system for the state overhaul of the transformers, owing to the decision-making method, the flexible decision of the plurality of transformers can be scientifically analyzed and solved, various influence factors can be integrated to serve as a decision-making index, quantification calculation is well carried out, the indefinability and the fuzziness of the decision-making factors are reasonable processed, the decision to overhaul the state of the transformers is scientific and reasonable, the practical demand for the decision to overhaul the transformers is met, and the execution of the overhaul work of the state of the transformers is facilitated.