536 results about "Entropy weight method" patented technology

The invention provides a discrete fracture modeling method based on multiscale factor restraint. The discrete fracture modeling method based on multiscale factor restraint comprises the following steps that the fracture parameter of a single well is recognized and described in details; a fault-wrinkle-fracture symbiosis evolution system is established based on the counted fracture parameters, and a key fracture making period is determined; the fracture parameter based on detailed tectonic stress field simulation is calculated in a quantitative mode; main controlling factors for fracture development are optimally selected; the weights of the main controlling factors of the fracture are optimally selected according to the entropy weight method; a multiscale fracture DFN model restrained by multiple factors is established; a double-hole and double-permeability geologic model is established. According to the discrete fracture modeling method based on multiscale factor restraint, the mutual control and influence between multiscale fractures are analyzed based on detailed description, obtained through CT scanning, of one single well, the multiple geological factors, such as the structure and deposition, controlling fracture development are analyzed, the main controlling factors for fracture development are optimally selected according to the entropy weight method, a large-scale discrete fracture model, a medium-scale discrete fracture model and a small-scale discrete fracture model are established, an idea and method for establishing a detailed fracture geologic model are formed, and an important basis is provided for efficient development of a fractured oil reservoir and scheme optimization.

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.

The invention discloses a different-scale regional flood damage risk evaluation method. The method comprises: collecting space data of a to-be-analyzed region and attribute data associated with the space data as initial data, compressing the initial data and storing the compressed data in a created space database; standardizing the initial data, and unifying units; coupling a model by utilizing an analytic hierarchy process (AHP) method and an entropy weight method, and determining each factor combination weight; and evaluating and researching a regional flood damage risk value, classifying risk grade, and generating a flood damage risk index diagram. According to the different-scale regional flood damage risk evaluation method, by utilizing the collected natural and social data as input and various algorithm coupling models, the weights are determined, and finally the flood risk grade evaluation index diagram is generated; therefore, the accuracy of flood damage risk evaluation is improved, objective and efficient advantages are achieved, and the flood damage risks, which have possibility of occurring in a research region, under given conditions are further intuitively shown.

The invention discloses an improved comprehensive evaluation method for sustainable development of a power grid enterprise. The method comprises the following steps: step one, constructing an evaluation index system and carrying out pretreatment; step two, obtaining subjective weights of all expert validity and evaluation indexes by using a matter element analysis method; step three, carrying out objective weight assignment on the evaluation indexes after the pretreatment by using a entropy weight method; step four, calculating a combined weight of the evaluation indexes by using a combined weight assignment method based on subjective and objective weighted attribute value uniformization; step five, constructing an initial fuzzy evaluation matrix and carrying out standardized processing on the initial fuzzy evaluation matrix; step six, determining positive and negative fuzzy ideal solutions based on the standardized fuzzy evaluation matrix, calculating an Euclidean distance, and transforming the fuzzy evaluation matrix into a weighted determination matrix; and step seven, obtaining a queuing indication value of each evaluated object, determining a rank of each evaluated object, and then carrying out an integrated evaluation analysis on the evaluated objects.

The invention provides a grid security comprehensive evaluation method which includes that a set of complete two-stage in-advance comprehensive evaluation index system and an each-stage security evaluation index calculating method are built aiming at the requirement of grid security operation evaluation, a grid security comprehensive evaluation model based on a gray area correlation analysis method and the game theory is further provided, initial evaluation is conducted on each one-stage index by the model, an obtained evaluation result is subjected to comprehensive evaluation, a correlation coefficient matrix of each one-stage index is determined by adopting the gray area correlation analysis method, weights are obtained by utilizing a game collection model pair analytic hierarchy process (AHP), an artificial neural network (ANN) and an entropy weight method and are objectively combined to obtain a combined weight, initial evaluation is conducted on each one-stage index, the AHP is adopted to determine a one-stage index weight, and the one-stage index weight and an initial evaluation result are subjected to weighing calculation to further obtain a grid security comprehensive evaluation result, namely the grid security quality ordering.

The invention discloses a method for evaluating operation quality of information systems. The method comprises the steps of firstly, constructing an evaluation index system for the operation quality of information systems; secondly, using an analytic hierarchy process to evaluate the operation quality of the qualitative information system and calculate the subjective weight of evaluation indexes, using an entropy weight method to evaluate the operation quality of the quantitative information system and calculate the objective weight of evaluation indexes, and synthesizing the subjective weight of evaluation indexes and the objective weight of evaluation indexes to calculate the combined weight of all evaluation indexes; and finally, calculating evaluative values of all evaluation objects according to the combined weight, and conducting evaluation analyses on evaluative values of all evaluation objects. According to the method, the entropy weight method and the analytic hierarchy process are combined to evaluate the operation quality of information systems, the potential problems in operation of information systems are found out, the operation guaranteeing capability of information systems is improved, and the operation and maintenance level of information systems is evaluated accurately and objectively, so that the safe, high-efficiency and economical operation of information systems is effectively guided.

The invention discloses a power network area division method based on an evaluation index system of a power distribution network and clustering analysis. The power network area division method comprises the following steps of: S1, selecting multiple primary indexes capable of reflecting the current situation of a power distribution network in a certain urban, and establishing the evaluation index system of the power distribution network by utilizing a systematic clustering method; S2, determining the comprehensive weight of each evaluation index in each class in the evaluation index system by adopting a subjective and objective analysis method, in which an improved hierarchical analysis method and an entropy weight method are combined, and, in combination with a scoring value of each evaluation index, obtaining the comprehensive score of the power distribution network in an evaluated area; and S3, performing clustering analysis of the comprehensive score of the power distribution network in the evaluated area so as to obtain a classification result of the power distribution network in the whole area. According to the power network area division method disclosed by the invention, on the basis of the general characteristics of the power distribution network, the development current situation and the development capability of the power distribution network are scientifically evaluated; and practical and reliable basis is provided for determining a key factor influencing development of the power distribution network.

The invention relates to an energy efficiency assessment model and an energy efficiency assessment method for a boiler system. The method comprises the following specific steps of: (1) collecting basic data of the boiler system; (2) inspecting economic running of a boiler, and putting forward an economic running employee evaluation form of the boiler; and (3) performing energy efficiency assessment on the boiler system: initially establishing an energy efficiency index system of the boiler system; performing data preprocessing on the initially-established energy efficiency index system, wherein data preprocessing comprises type uniformization of an evaluation index, non-dimensional normalization and optimal filtration; computing the value of a secondary index in the energy efficiency index system; computing weights of a primary index and the secondary index by applying a hierarchical comprehensive evaluation model, and completing objective assessment of the primary index based on G1 group judgment and subjective assessment of the secondary index based on an entropy method; and completing determination of the comprehensive weight of the hierarchical comprehensive evaluation model by adopting organic combination of expert experience and subjective data, establishing a mathematical model of comprehensive energy efficiency evaluation of the boiler system, and quantifying the evaluation result of the boiler system.

The invention discloses a debris flow risk degree evaluation method. The method comprises a step of determining the characteristic parameters associated with debris flow three elements, a step of establishing the comprehensive information evaluation system of the three elements, obtaining a three-element initial information evaluation matrix, and calculating the information entropy of the three elements through matrix operation and an entropy method, a step of establishing a debris flow information entropy model, taking three sub information entropy as an input factor, through BP neural network effect, and outputting debris flow information entropy, a step of defining a debris flow risk degree level standard according to the relation between the information entropy theory and the fact whether debris flow occurs, and carrying out risk degree evaluation on a search object. The invention discloses a debris flow probability model, the mutual interaction mechanism of debris flow three elements in a debris flow inoculation process can be comprehensively reflected, the complex nonlinear and dynamic processes of debris flow can be represented, the risk degree of the research object (single channel / regional debris flow) can be forecasted.

The invention provides a KNN-based improved missing data filling algorithm, which comprises the steps of (1) improving a traditional multiple correlation coefficient inverse weighting method and calculating the importance of each attribute on a missing value-containing attribute by using an improved algorithm, deleting a few of attributes with relatively small correlation with a key attribute and carrying out streamlined operation on an attribute set to obtain a data sample set which only contains the streamlined attribute set; (2) comprehensively considering the advantages of the correlation between the attributes and the variability by using a mahalanobis distance, effectively predicting an uncertain factor-containing sample by combining a grey correlation analysis method and calculating K adjacent samples of a missing sample; and (3) giving entropy weight values to the attributes corresponding to the K samples according to the calculated K distance values and an entropy weight method and then calculating a final filling value by combining attribute values. According to the KNN-based improved missing data filling algorithm, the calculating complexity of the missing data algorithm can be reduced, the accuracy of the adjacent sample values is improved and the estimation accuracy of the data filing value is improved.

The invention relates to a nearest neighbor object tracking method based on trace point quality evaluation, belongs to the technical field of radar target tracking, and particularly relates to an object tracking method based on multiple-evaluation-index information fusion of entropy weight. The invention puts forward a method for improving the degree of nearest neighbor correlation based on comprehensive evaluation of multiple features of the trace point. In data correlation, four measurement indexes of a trace point dropping into a wave gate, including position, amplitude, Doppler and work frequency, are taken into comprehensive consideration, evaluation values under the indexes are obtained by referring to predicted values or prior information, weight values are determined by an entropy weight method so as to obtain a comprehensive evaluation value, and the optimal measurement in quality evaluation instead of the measurement nearest to a predication point in a traditional method is used as track update. Therefore, the sensor information utilization rate is improved, and the performance of weak target tracking under complex environments is improved.

The invention provides an active power distribution network multi-target optimization scheduling method of coordinating stored energy and a flexible load. In optimization scheduling of an active power distribution network, the space-time relationship between the stored energy and the flexible load and influences of network power flow are considered; and an active power distribution network optimization scheduling model employing the maximum renewable energy utilization rate, the minimum network loss and the highest consumer satisfaction degree as goals is built. An analytic hierarchy process-entropy weight method is provided for calculating weight coefficients of various sub-goals; a particle swarm optimization algorithm containing a nonlinear decreasing inertia weight is adopted for solving the built model; meanwhile, the coordinating role among various elements of the active power distribution network is quantified through setting the scheduling priorities of a controllable distributed power generation unit, an energy storage system and the flexible load; and example analysis is finally carried out. A simulation result shows that the utilization rate of renewable distributed power generation is increased through coordination and optimization of the stored energy and the flexible load; the active loss of the network is effectively reduced through the provided scheduling priorities; and the consumer satisfaction degree is improved, so that the rationality of the optimization scheme is verified.

The invention discloses a comprehensive assessment method for the operation effect of a power grid side energy storage power station, and the method comprises the steps: constructing an energy storagepower station operation effect assessment index system, and determining a to-be-assessed scheme set; According to the actual operation data of each power station, calculating and extracting evaluation indexes of all schemes in the scheme set to be evaluated of each power station to form an initial decision matrix, and performing standardized processing to obtain a normalized decision matrix; Adopting an analytic hierarchy process to obtain a subjective weight vector of the evaluation index, adopting an entropy weight method to determine an objective weight vector of the evaluation index, andobtaining a comprehensive weight vector of the evaluation index through a game theory combination weighting method; And comprehensively evaluating the operation effect of each power station. The constructed index system has scientificity, applicability and operability, the selected indexes are high in applicability, and calculation is easy; The actual operation effect of the power grid side energystorage power station is comprehensively evaluated from many aspects, and a basis is provided for planning construction, scheduling operation control and the like of a subsequent energy storage project.

The invention discloses a highway tunnel operation environment safety risk automatic judgment method. The highway tunnel operation environment safety risk automatic judgment method, starting from comprehensive tunnel operation environments in four major aspects, that is, road environment index, traffic circulation environment index, traffic engineering facility environment index and climatic environment, extracts main evaluation index of the highway tunnel operation environment through a Delphi method, carries out sensitivity analysis on the evaluation index, establishes a highway tunnel operation environment evaluation index system, determines weight of each evaluation index through an AHP method and an entropy weight method, and carries out safety evaluation on the highway tunnel operation environment through a fuzzy comprehensive evaluation method.

The invention proposes a motor vehicle driving behavior scoring method. The method comprises the following steps of obtaining related data information of a driving behavior scoring index; calculating a weight of each standard layer and each index weight of an index layer through an analytic hierarchy process according to the related data information of the scoring index; calculating each index weight of the index layer according to an entropy weight method; and calculating a weight of the driving behavior scoring index according to the weight of each standard layer and each index weight of the index layer obtained according to the analytic hierarchy process and each index weight of the index layer obtained according to the entropy weight method. According to the method, an improved entropy weight and analytic hierarchy process method is proposed by fusing the entropy weight method with the analytic hierarchy process, and motor vehicle driving behaviors are scored, thereby realizing quantitative scoring of driving safety levels of driving behaviors of different vehicle owners.

The invention discloses an electric energy quality comprehensive evaluation method in order to directly evaluate the overall conditions of the electric energy quality in an area more visually so that the electric power supply can be safer and more economical. The comprehensive weight of a comprehensive evaluation index of the electric energy quality is determined with the order relation analysis method and the entropy weight method, then, the coefficient of correlation between an actual measurement value and the standard limiting value at the national standard level is calculated with the gray correlation analysis theory, and finally the index weight coefficient and the correlation coefficient undergo weighting multiplication to calculate the correlation degree of the electric energy quality. The level of the electric energy quality is judged according to the correlation degree of the electric energy quality.

The invention provides a TOPSIS-method multi-target threat ordering method based on information entropy. The method includes first building a threat assessment threat factor model, building a target attribute decision matrix according to the threat factor model, adopting an entropy weight method to calculate a target attribute weight vector according to the decision matrix, adopting a TOPSIS method to calculate relative close degree of target schemes according to the weight vector calculated through the entropy weight method and conducting threat assessment ordering on the schemes according to the close degree, namely the threat degree. By means of the method, shortcomings of the traditional ideal solution approaching ordering method in determination of weight coefficients are effectively overcome, and the target threat degree prediction accuracy is improved.

The invention discloses an order relation method-entropy weight method-based county power grid evaluation method. The method comprises the following steps: 1, establishing an index system and obtaining index values; 2, classifying and normalizing the indexes; 3, determining the subjective weight of the index system; 4, determining the objective weight of the index system; 5, calculating the combined weight; and 6, calculating comprehensively to obtain an evaluation result. According to the order relation method-entropy weight method-based county power grid evaluation method, weighting is carried out through a combined weighting method, and the experience advantages of the experts or workers and the structures of the data of the indexes are combined, so that the evaluation result which is more reasonable than the result obtained through a single weighting method is obtained. The order relation method embodies the essential feature of the decision-making thought of people, and the construction of a judgment matrix and consistency check are not required for the decomposition, judgment and integration, so that the calculation amount is greatly decreased, and the method is easy to grasp and apply. The entropy weight method embodies the structural feature of the data, so that the method is simple and easy to realize. And the two methods can make up the disadvantages that the single subjective weighting method completely depends on subjective consciousness and the single objective weighting method completely depends on data structure.

A cooperative game method and trapezium-cloud model-based power distribution network operation state fuzzy and comprehensive evaluation method is characterized by comprising the steps of considering the purposiveness, the systematicness, the operability, the independence, the significance and the dynamism, and constructing a multi-dimension hierarchical power distribution network index system based on the safety, the high quality, the economy, the Intelligence, the environmental protection property and the sustainability; utilizing a weight method, an entropy weight method, a anti-entropy weight method and a compatibility matrix analysis method to calculate the power distribution network index weights separately; carrying out the cooperative game on the determined weights to obtain an optimal combined weight; carrying out the variable weight correction on the combined weight to obtain a final weight value; dividing the evaluation grades of a power distribution network to obtain an evaluation set; calculating a trapezium-cloud model parameter that each index corresponds to each evaluation grade, utilizing a trapezium-cloud model to calculate the membership degree values of the indexes of the to-be-evaluated power distribution network, and calculating a membership degree vector and an evaluation result of the whole power distribution network layer by layer and upwards on a fuzzyand comprehensive evaluation frame.

The invention discloses a risk assessment method for an underground oil and gas pipeline. The risk assessment method comprises the following steps: A, determining a factor set which affects the pipeline risk assessment; B, determining a pipeline risk assessment alternative set according to assessment requirement; C, calculating the weight of each factor in the pipeline risk factor set by adopting a entropy weight method; D, calculating the weight of each factor in the pipeline risk factor set by adopting a combination analytic hierarchy process, and integrating the weights calculated in the step C into the calculation process of the analytic hierarchy process so as to obtain a final weight for each factor; E, performing fuzzy evaluation on single factors of pipeline risks by utilizing the weights obtained in the step D; F, iterating the calculation process of the step E so as to realize multilevel fuzzy comprehensive assessment on the risk of the underground oil and gas pipeline. By adopting the method, the problem that the weights of the factors of the risk of the pipeline are too objective or too subjective is avoided, and the calculated weight of each factor is more subjective and accurate; meanwhile, the risk of the underground oil and gas pipeline is assessed by establishing a fuzzy comprehensive assessment model, so that the assessment result is more accurate, subjective and reasonable.

The invention discloses a preferable method of product design schemes. The method comprises the steps of (1) establishing a product evaluation index system, and obtaining the weight of each bottom layer index according to the AHP; (2) obtaining product actual survey data, and obtaining the weights of the bottom layer indexes according to the entropy weight method; (3) combining sub-criterion layer weights of the AHP and the weights of the entropy weight method to obtain sub-criterion layer comprehensive weights, normalizing the sub-criterion comprehensive weights of each criterion layer, and finally obtaining the comprehensive weight of each index; (4) standardizing original data, weighing the standardized index data according to the comprehensive weights to obtain weighted standardized data, and selecting an ideal solution, namely the optimal scheme and the worst scheme; (5) calculating the distance and the approaching degree between each scheme and the ideal solution; (6) conducting merit sorting on the schemes according to the approaching degree of each scheme to obtain the optimal design scheme. The method can overcome the defects of other traditional methods and effectively conduct sorting on the green design schemes.

The invention discloses an intermediate-voltage distribution operation state fuzzy integrated evaluation method based on a principle component analysis method and an entropy weight method. Major information in source data can be reserved by use of the principle component analysis method, a power supply capability, power supply quality and economic indexes are taken as the source data representing an operation state of a distribution network, through solving a feature value and a feature vector of a correlation coefficient matrix, principle components of operation of the distribution network are determined, and an evaluation system with weak correlation yet large envelope information content is formed. Given fuzziness existing in index evaluation, new evaluation indexes are objectively endowed with weights by use of the entropy weight method in the system, and a fuzzy integrated evaluation system of a 10kV distribution network operation mode is finally formed. According to the invention, the fuzziness of the evaluation indexes is taken into consideration, qualitative analysis and quantitative determination are realized, and the method provided by the invention is reasonable and scientific to a certain degree.

The invention discloses a comprehensive evaluation method on safety of a grid structure based on an entropy weight method, and is used for evaluating the integral security of the grid structure from multiple angles by combing complicated grid evaluation indexes. Firstly, a transmission grid structure model is established by combing electrical characteristics of the transmission grid closely in order to solve the problem that the existing transmission grid is too simple, secondly, providing such global indexes as grid transmission efficiency, grid transmission capacity and transmission path adequacy which represent the whole transmission performance of the grid by combing electrical characteristics of the grid, and providing grid node topological entropy to measure communication balance of the grid nodes based on degrees, weighted degrees and the like, and lastly normalizing the indexes with the entropy weight method and confirming the weighted value of each index. The comprehensive evaluation method overcomes the defects of grid structure safety evaluation with single evaluation index, and fits actual condition of an electric power project.

The invention provides a V2X network performance test and evaluation analysis method, and relates to the field of network performance test analysis of the Internet of Vehicles. The method comprises the following steps: establishing an LTE network performance test and DSRC network performance test platform; testing the network performance of LTE and DSRC in an Internet of Vehicles environment, determining network performance indexes, and calculating network performance index values; and determining the weights of the network performance indexes in combination with an entropy weight method and an analytic hierarchy process; calculating the effect scores of the network performance indexes, performing weighted calculation on the weights of the network performance indexes to obtain a comprehensive performance evaluation score, and obtaining a quantitative analysis result; obtaining a qualitative analysis result by using a fuzzy comprehensive analysis method in combination with a comprehensive weight; and obtaining a comprehensive analysis evaluation result in combination with the quantitative analysis result and the qualitative analysis result. According to the V2X network performance test and evaluation analysis method provided by the invention, by actually testing the network performance parameters in the Internet of Vehicles environment and comprehensively considering the influence of various performance indexes of the Internet of Vehicles on the network performance, the network performance of the Internet of Vehicles can be evaluated more accurately.

The invention discloses a method for evaluating the economic operation of an active distribution network based on an economic operation domain, which includes: defining 14 secondary evaluation indicators in the context of an energy Internet-oriented active distribution network, and comparing them with existing indicators Combined, according to the classification and processing of the characteristics of the new secondary indicators, four new first-level indicators are established, and an evaluation index system for the economic operation of the active distribution network oriented to the energy Internet is constructed, and some existing indicators are improved; the entropy weight method is used to correct , using the combination of subjective and objective weighting methods to improve the interval analytic hierarchy process, and as the weight calculation method of the present invention, using the methodology of "domain" in the distribution network security analysis to define the economic operation function and the economic operation domain; based on the economic operation domain Establish a model of each economic operation level of the active distribution network; judge whether the sample to be evaluated belongs to the corresponding level according to whether the economic operation function exceeds the limit.

The invention provides a large missile equipment retirement safety control method based on an improved fuzzy entropy weight method. The safety control method comprises the steps that a multi-layer hierarchical large missile equipment retirement safety risk assessment index system is constructed, a fuzzy statistical method is used for determining a fuzzy assessment matrix, a comprehensive weight iscalculated through a comprehensive entropy weight method and an analytic hierarchy method, and a multiplication-bounded operator is used for comprehensive assessment. Compared with the prior art, safety risk analysis is conducted on large missile equipment retirement disposal in processes, stages and types, the constructed multi-layer hierarchical assessment index system can ensure the integrityof input indexes of the assessment model, information repetition caused by high correlation between the assessment indexes is effectively reduced, and the workload for safety risk assessment and safety control is reduced; the comprehensive weight is calculated through the entropy weight method and the analytic hierarchy method, so that deviation caused by subjective factors is avoided, the scientificity and objectivity of the weight are improved, and comprehensive assessment of all levels of indexes corresponding to the multi-layer assessment index system is achieved.

The invention is a fuzzy comprehensive evaluation method of urban distribution network operation level and power supply capacity based on AHP-entropy weight method, and is characterized in that it includes the following steps: synthetically considering the factors affecting the operation level and power supply capacity of urban distribution network, following the construction principle of evaluation index system, establishing the comprehensive evaluation index system of urban distribution network operation level and power supply capacity; according to the actual situation of distribution network, grade refinement degree is determined to constitute evaluation set, and appropriate membership function model is selected to obtain the membership degree of each evaluation index to the evaluationgrade, forming fuzzy evaluation matrix; analytic hierarchy process (AHP) and entropy weight method are used to determine the weight of each index, so that both subjectivity and objectivity can be taken into account. The fuzzy comprehensive evaluation function is constructed to calculate the fuzzy comprehensive evaluation results of the operation level and power supply capacity of urban distribution network, and the grade level of the operation level and power supply capacity of urban distribution network to be evaluated is determined according to the maximum membership degree principle.

The invention discloses a key node recognition method in a power communication network. The method comprises the following steps: step one, constructing a power communication network node importance evaluation system based on power communication network information; step two, constructing a normalized matrix based on the power communication network node importance evaluation system; step three, comprehensively determining index weight based on an entropy weight method and an analytic hierarchy process; step four, combining the weight vector with the normalized matrix to construct a weighted normalized matrix; and step five, computing based on the weighted normalized matrix to acquire the node importance order, recognizing a key node based on the order result, thereby realizing the technical effect of accurately recognizing the key node in the power communication network.

The invention provides a method and system for detecting threats in a network and an electronic device. The method comprises: on the basis of different characteristics of user behavior data, multi-dimensionality detection is carried out on the user behavior data based on multi-domain behavior driving and time behavior driving; according to an entropy weight method, an abnormal score value based onmulti-domain behavior driving and an abnormal score value based on time behavior driving in the multi-dimensionality detection result are fused and thus a threat in a network is determined. Therefore, universality of the operation process is improved effectively; the time complexity and space complexity of the operation are reduced; and thus the costs are lowered.