834 results about "Analytical hierarchy process method" patented technology

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.

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 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.

A system, method and computer program product is disclosed for evaluating system architectures from a long term sustainability perspective, sustainability in the presence of rapidly evolving information and networking technology, rapidly evolving customer requirements and expectations, and rapidly evolving standards and protocols. The multi-attribute architecture evaluation method can include specific architectural characteristics. At the top level the present invention can include four architectural characteristics or attributes: modularity, commonality, standards-based, and reliability / maintainability / testability (RMT). The attributes can be further classified into sub-attributes and metrics to facilitate the comparative evaluation of candidate system architectures. In an exemplary embodiment of the present invention a decision support system, method and CPP for evaluating supportability of alternative system architecture designs is disclosed including: an analytic hierarchy process (AHP) model including a plurality of attributes, wherein the plurality of attributes includes: a commonality attribute; a modularity sub-attribute; a standards based sub-attribute; and a RMT sub-attribute. The present invention in an exemplary implementation can be embedded within a commercially available AHP shell, to facilitate adaptation to specific domains.

The invention discloses an active distribution network dynamic topology reconstitution method based on mixed artificial intelligence. Multiple improved artificial intelligence methods are adopted for optimizing solving, the superiority of various algorithms can be integrated, meanwhile the various artificial intelligence methods are improved during the process of combining various optimization algorithms, furthermore the astringency of the algorithms is improved, the defects such as locally optimal solution are avoided, three object functions are integrated in the optimization process, three different optimization objects are considered, and a corresponding Pareto optimal solution set is solved out; Since measurements of indexes such as on-off operation times and power supply volume are not constant, in order to establish a unified measurement model, all the indexes are converted into loss indexes according to respective conversion relations, and finally a dynamic analytic hierarchy process is adopted for deciding solutions in the Pareto optimal solution set, so that the optimal solution representing an optimal distribution network structure is obtained.

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 an athlete athletic injury risk early warning method. On the bases of reference to models provided by foreign scholars and comprehensive analysis of track and field athlete athletic injury factors, a track and field athlete motion injury risk early warning injury factor dynamic chain model is provided, based on the model, corresponding factors are selected from an athlete risk early warning database, and a track and field athlete motion injury risk early warning injury factor dynamic chain quantitative model is established through the analytic hierarchy process. Index data are discretized according to an SOM neutral network discretization method, a decision table is simplified according to a method based on a discernibility matrix in a rough set, an RBF neutral network is established based on the simplified decision table, the RBF neutral network is trained, and finally a correct diagnosis result is acquired. By the adoption of the method, accurate early warning can be conducted on athletic injuries, the athlete athletic injury risk grade is effectively predicted, and treatment and prevention of the athletic injuries are facilitated.

The invention discloses a comprehensive microgrid planning and design evaluation system based on an OTFN-AHP (optimized triangular fuzzy number analytic hierarchy process), and belongs to the technical field of electric information planning. An evaluation method comprises the steps that 1) a microgrid planning and design evaluation index system is determined; 2) computation models of microgrid evaluation indexes and reasonable and practical non-linear membership function models of the indexes are provided, so that quantized values of the indexes are obtained; 3) the traditional analytic hierarchy process and a fuzzy mathematic theory are combined and optimized to form the OTFN-AHP; 4) the fuzziness of an ordering vector is removed by utilizing a centroid method variable according to preference of a decision maker; 5) relative weights of the indexes are solved by nonlinear planning according to the ordering vector; and 6) an advantage and disadvantage degree of a microgrid is determined according to the quantized values and the weights of the indexes; and an evaluation report of the micogrid is output. The evaluation system can make scientific and objective evaluation on microgrid planning and design schemes in different structures, so that the evaluation system provides a reasonable reference for the decision maker, and has very high actual instruction significance.

The invention discloses a heterogeneous network multi-attribute decision-making method based on a network analytic hierarchy process. According to the method, when computing network attributes weight, attributive interaction and feedback in a dynamic network are considered, influence on network selection of a target network is also considered, physical truths for decision problems of a heterogeneous network are well fit, and a low-delay and low-quivering network can be selected under a real-time voice service. Concrete steps comprise that weight is firstly calculated; attributive factors affecting the network selection and the target network are divided into a functional group, a cost group and a scheme group; mutual relation between intra-groups and between-group elements and mutual relation between groups are set up; judgment matrixes of pairwise comparison according to the analytic hierarchy process are set up, feature vectors are obtained, submatrixes are formed, and all the submatrixes form a non-weighted hypermatrix, and an ultimate hypermatrix and ANP weight are obtained through weighting and exponentiation operating of the hypermatrix; and then the ANP weight and normalization network parameters obtain network power functional values, the network power functional values are sorted, and the largest utility value is selected to serve as the target network.

The invention discloses an industrial process fault classification method based on analytic hierarchy process and fuzzy fusion. The method comprises the steps that a training data set is used to carry out offline modeling on a number of classifier methods to acquire a number of models; the classification performance of the classifiers is presented in the form of a fusion matrix; and the analytic hierarchy process is used to score and evaluate a number of classifier models, so that a corresponding weight is given to each classifier; the classifier models are called; a discriminant matrix is calculated according to the classification result of each classifier; and the discriminant matrix and the scoring result of the analytic hierarchy process are used to integrate the classification results of a number of classifier through a fuzzy fusion method to acquire a final fault classification result. Compared with other methods, the method provided by the invention has the advantages that the diagnostic effect of an industrial process is improved; the process operator's confidence in grasping and operating a process is enhanced; and the limitation of a single fault classification method is greatly improved, which is conductive to automated implementation of industrial processes.

The invention discloses a meteorological service performance evaluation method based on a geographical information system (GIS), which is used for carrying out meteorological service performance analysis and evaluation by comprehensively utilizing a neural network method, an analytic hierarchy process, a structural equation method, a gray system method and a statistical analysis technique through using corresponding social statistics and survey data. The method is used for carrying out uniform control and management on hydrologic information, humanity information and meteorological information in a researched region by using a cartographic database and remote sensing data as basis geospatial data through using population data, casualty loss data and geographical hydrologic thematic data based on a GIS technology and a database technology by adopting a design mode of centralized management and maintenance. The invention realizes graphic and feature integrated maintenance management, comprehensive query, space analysis, thematic map, simulation analysis and meteorological service evaluation functions, improves the informatization level and the aid decision making capability of the meteorological service evaluation, and provides aid decision basis for the geographical hydrologic management and the meteorological service performance evaluation.

The invention discloses a power transmission line path generation method based on a spatial GIS (Geographic Information System). The power transmission line path generation method comprises the following steps: (1) loading a GIS map and inputting a starting point and a terminal point of a power transmission line; (2) giving weights to plots in the grid map by adopting an analytic hierarchy process in combination with GIS information; (3) calculating the optimal path of the power transmission line by utilizing a Dijkstra algorithm, and automatically generating statistical data on the line path length, the number of corners and the crossing condition with existing lines; and (4) carrying out on-site investigation and verification, and optimizing the line path in combination with satellite images of complex terrain of a region through which the path passes. The power transmission line path generation method disclosed by the invention completes the path generation in the design of the power transmission line by carrying out gridding treatment on the GIS and combining with the Dijkstra algorithm, and has the functions of path automatic generation, statistics of the path length and corner number, judgment on complex terrain of the line, and the like.

Disclosed in the invention is a running state evaluation method of an urban distribution network. According to the method, with combination of actual investigation and expertise, single indexes capable of reflecting a running state of a distribution network comprehensively are selected by following the principles of objectivity, high accuracy, mutual independence, and high operability in a perspective of system engineering; superior indexes which the single indexes belong to are defined based on an analytic hierarchy process method, and an overall and complete index system is established and so on; a scoring formula of the single indexes is determined based on combination with the correlated industrial standard and the expertise by using a fuzzy membership function, and weight factors of all indexes are determined by using a pairwise comparison matrix method; and with running data collected by other systems of the distribution network automatically, scores of all indexes are calculated and then a running state evaluation score of the whole distribution network is provided.

The invention discloses an application value evaluation method for using a building information model (BIM) in constructional engineering. The method comprises: establishing a constructional engineering BIM application value index system; establishing a structural analysis model; calculating index weight of the BIM value index system; performing consistency detection; and performing comprehensive analysis and evaluation. According to characteristics and difficulties of engineering construction, on the basis of index analysis, the method establishes the constructional engineering BIM application value index system, and uses an analytic hierarchy process and an expert scoring method to solve a problem that the BIM application value is difficult to quantitatively evaluated, and realizes application management and effect evaluation of the BIM application value index of owners. The method is more accurate in application value evaluation of the BIM technology in construction project management, and provides convenience for owners to perform effectiveness evaluation and BIM application management, so as to prevent, control, and reduce engineering risks in a targeted manner, and improve engineering management effect.

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 belongs to a method for configuring an emergency power supply for important power consumers, and the method comprises the following steps: (1) analyzing the special power supply requirements of different types of important power consumers by aiming at the characteristics and the load characteristics of different industries; (2) specifying the connotation and the classification of the important power consumers; (3) quantitatively grading the important power consumers with an analytic hierarchy process; (4) specifying the configuration principle and flow of the emergency power supplies of different types of important power consumers; (5) comprehensively analyzing an technical index and an applicable range to various aspects, such as the equipment principle, the switching mode, the operation maintenance and the like of normally-used or novel emergency power equipment; (6) determining the configurations of the type, the switching-in mode, the switching mode, the operation maintenance and the like of the emergency power supply; and (7) configuring the volume of the emergency power supply with a cost efficiency analysis method.

The invention provides a domain name service quality evaluation method. The domain name service quality evaluation method comprises the steps that a plurality of indexes related to domain name service quality and weights of the indexes are determined on the basis of the analytic hierarchy process; data, related to the indexes, of each domain name to be evaluated are acquired, and a score, obtained according to each index, of each domain name to be evaluated is obtained; a comprehensive score of each domain name to be evaluated is calculated on the basis of the scores, obtained according to all the indexes, of the domain name and the weights of the indexes. According to the domain name service quality evaluation method, the weights of the indexes are set on the basis of the analytic hierarchy process, the weights are adjusted on the basis of the acquired data of the domain names, as a result, the importance degrees of the indexes can be reflected by the weights more accurately, and the distinction between the domain names with good service quality and the domain names with poor service quality is more obvious. Therefore, domain name service quality can be reflected more objectively and more accurately, certain unsafe domain names or bad websites can be filtered out for a user, and the user can be helped to select the domain names with good performance.

The invention relates to a comprehensive power grid planning scheme selection evaluation system based on combination of the analytic hierarchy process and the data envelopment analysis, and particularly belongs to the technical field of electric power system automation. The method is used for reasonably selecting a power grid planning construction scheme. By establishing a power grid planning multi-layer evaluation index system, the analytic hierarchy process and the data envelopment analysis are used for determining the weights of the indexes jointly, then, the degrees of correlation between all the schemes and the optimal scheme are calculated through a grey correlation degree, and the power grid planning scheme is evaluated. The comprehensive power grid planning scheme selection evaluation system based on combination of the analytic hierarchy process and the data envelopment analysis has very high fault tolerance, the defects that the analytic hierarchy process is too high in subjectivity and the data envelopment analysis cannot represent the preference of a decision maker can be effectively overcome, the distinction degree of the power grid planning schemes can be improved through the grey correlation degree, the advantages and disadvantages of the power grid planning schemes can be comprehensively balanced, and the system has wide application prospects in power grid planning.

The invention discloses a method for comprehensively evaluating an urban public transportation development level based on multiple data. The method comprises the following steps: firstly, preprocessing all acquired data by receiving, collecting and reading multiple relevant data, and obtaining the demanded parameters for index analysis after screening, repairing and excavating; secondly, dividing indexes into four criterion layers such as an infrastructure construction level, a public transportation equipment configuration level, a public transportation operation management level and a public transportation service level, and the relative index layers according to the character by adopting an analytic hierarchy process and taking the perception conditions of participators (including traffic managers, decision makers and participators) in a transportation system as an objective layer; finally, evaluating the public transportation development level for multiple read data based on a fuzzy comprehensive evaluation method, and calculating the comprehensive evaluation score of the public transportation development level to obtain the qualitative and quantitative evaluation results of the public transportation development level. According to the method, the hierarchical structure of the index system can be ensured to be clear and reasonable, and the establishment principle of the index system can be effectively implemented, and thus the method has a wider very wide popularization and application prospect.

The invention discloses a satellite health state multistage fuzzy evaluation method based on an AHP-entropy weight method. The method includes: constructing a system weight system comprising a subjective weight, an objective weight and a comprehensive weight, providing the accurate comprehensive weight for the fuzzy comprehensive evaluation method by adopting an analytic hierarchy process and an entropy weight method, providing the subjective weight by adopting the analytic hierarchy process, providing the objective weight by adopting the entropy weight method, and obtaining the subjective andobjective combined comprehensive weight from the subjective and objective weights through an optimization function; constructing a system evaluation system comprising a factor discourse domain, a comment set, a membership function, an evaluation matrix and multi-stage fuzzy evaluation; and comprehensively evaluating the use state of the on-orbit satellite, evaluating each layer of elements through a membership principle of fuzzy comprehensive evaluation, and then sequentially recursively evaluating the overall health state from bottom to top by adopting a multi-stage fuzzy comprehensive evaluation method. The method improves the safety and reliability of a satellite system, reduces the effective life cycle operation cost, and guarantees the smooth completion of an in-orbit satellite task.

The invention provides a program evaluation system and method based on an analytic hierarchy process. The program evaluation system comprises an input unit used for inputting a to-be-evaluated program and evaluation indexes, a program evaluation hierarchical structure model establishment used for forming a multi-level analysis structure model according to the evaluation indexes, and correlation and membership relation between the indexes, a determination matrix establishment unit used for configuring a pairwise comparison matrix for factors on the same layer from the second layer of the hierarchical structure model until the lowermost layer, a single hierarchical arrangement obtaining unit used for calculating the single hierarchical arrangement from a determination matrix layer by layer and performing consistency detection, a hierarchical general ranking obtaining unit used for calculating a general ranking weight of each level for the system and performing consistency detection, and an obtaining unit used for obtaining a comprehensive evaluation value and program ranking of each program according to rating information and the hierarchical general ranking weight of each to-be-evaluated program. By adoption of the program evaluation system and method, the subjective decision of a decision maker can be fully reflected, scientific empowerment of the evaluation indexes is realized, and the program evaluation accuracy is improved.

The invention discloses a railway construction scheme evaluation method based on a hybrid multi-attribute decision, and the method comprises the following steps: S1, carrying out the standardization processing of the values of a qualitative index and a quantitative index in a plurality of alternative schemes, and obtaining a standardized evaluation matrix; S2, calculating the weight of each indexby adopting a combination weighting method; S3, weighting the standardized evaluation matrix by using the weight obtained in the step S2 to obtain a weighting matrix; S4, determining a positive idealscheme and a negative ideal scheme; S5, calculating the distance between each alternative scheme and the positive ideal scheme and the negative ideal scheme; And S6, calculating the comprehensive relative closeness of each alternative scheme, and determining the optimal scheme in each alternative scheme according to the comprehensive relative closeness. The evaluation method overcomes the defectsof a traditional scheme evaluation method such as an analytic hierarchy process and a fuzzy comprehensive evaluation method, achieves comprehensive evaluation and comparison of quantitative indexes and qualitative indexes, enables the evaluation result to be more scientific and reasonable, and has a higher reference value.

The invention discloses a vehicle-mounted edge network task distribution and unloading method based on a deep Q network, and the method comprises the steps: firstly carrying out the priority divisionof calculation tasks of different vehicle terminals according to an analytic hierarchy process, and giving different weights to the processing rates of the calculation tasks to establish a relation model; secondly, introducing an edge calculation method based on the deep Q network, establishing a task unloading model with the calculation task processing rate weighted sum as the optimization target, establishing a terminal autonomous optimal task unloading strategy based on the deep Q network, and the long-term stability and effectiveness of an unloading decision making model are guaranteed. Byreasonably distributing and unloading the vehicle-mounted computing tasks, the processing speed of the computing tasks is effectively increased, and therefore the task execution time delay is reduced.

A technical method of diagnosing rationality of city spatial patterns includes the following steps: 1, constructing an index system comprising a master target layer, a sub-target layer, a factor layer and a divisor layer; 2, after standard data processing, using an analytic hierarchy process and an entropy weight process to determine a weight of the divisor; 3, constructing HL comprehensive diagnosis models for rationality of city developing patterns, the models comprising a scale pattern USR diagnosis model, a spatial pattern UKR diagnosis model and a function pattern UFR diagnosis model; 4, using a fuzzy membership grade function process and a linear weighting summation process to calculate a rationality index for each sub-model; and 5, dividing cities into a highly reasonable city, a relatively reasonable city, an intermediate reasonable city, a lowly reasonable city, and an unreasonable city according to HL comprehensive indexes. The comprehensive diagnosis index system provided by the present invention has universality and comprehensiveness, and has availability and effectiveness when evaluating the data. The completed system evaluating method enables the calculated result of the rationality indexes of the urban developing patterns to be more accurate, and achieves a more scientific evaluation of the urban developing patterns.

The invention relates to a distribution network evaluation method based on power supply partitioning features. The method comprises the following steps: determining a distribution network evaluation index system which is composed of five primary indexes and 17 secondary indexes; building membership functions of the indexes by use of a fuzzy membership degree method and based on the principle of linear interpolation; determining the weights of the evaluation indexes by use of a judgment matrix method of a quantitative calculation method; establishing a direct influence matrix, calculating a comprehensive influence matrix between the indexes, and using the comprehensive influence matrix to optimize the weights of the evaluation indexes; and substituting the calculation result of the previous step to a calculation formula of the analytic hierarchy process to get the final result of distribution network evaluation. Through the method, the comprehensive score level of evaluation samples can be given more accurately, the evaluation result is more accurate, and the distribution network plan and design decision work can be better guided.

The invention provides a weight-based internet cache resource service quality evaluation method and system. The method comprises the following steps of S1, acquiring various indexes of service qualityof cache resources in real time; S2, processing the indexes through an analytic hierarchy process and an entropy weight method to obtain weight values of the indexes; and S3, scoring the service quality of the cache resources on the basis of the indexes and weights. A weight algorithm, the analytic hierarchy process and the entropy weight method are adopted, so that subjective opinions of expertsand decision makers can be reserved, and the weights can be determined by utilizing original index data information and are independent of preferences and experience of people, namely, the subjectiveand objective aspects are taken into consideration. A complete and scientific evaluation system is established; the comprehensive scores of the service quality of the cache resources are calculated in real time; whether the cache resources are in an alarm state or not is judged; and the cache resources under a critical value of alarm are alarmed and issued to a cache manufacturer for processing,so that the problem is solved in time, and the user experience is improved.

The invention discloses a power distribution equipment state evaluation method based on variable weight and fuzzy comprehensive evaluation. The power distribution equipment state evaluation method comprises the steps of 1, selecting evaluation indexes; step 2, index weight primary distribution: adopting an analytic hierarchy process, establishing a comparative judgment matrix by comparing the importance between every two evaluation factors, and finally calculating a feature vector under the maximum feature value to obtain the weight of each index; step 3, calculating the health state score ofeach index; step 4, weight redistribution: carrying out weight redistribution, wherein xi is the health state score value of the ith index; step 5, performing fuzzy decision index normalization processing; step 6, calculating a membership function; step 7, establishing a fuzzy evaluation matrix; step 8, determining an evaluation result by utilizing a membership degree maximum principle. The problem that in the prior art, when power distribution equipment is evaluated, other indexes with small weights cannot correctly reflect the health state of the equipment due to the fact that the indexes with large weights have too large influences on the equipment is solved.

The invention belongs to the technical field of dam safety reconnaissance, and discloses a comprehensive evaluation method for the dam safety. The method comprises the following steps that 1, a hierarchical structure model of a dam safety system is constructed to generate a tree diagram which takes an objective layer and a criterion layer as a father-son relationship and takes the criterion layer and a factor layer as a father-son relationship; 2, weights of all factors are obtained on the basis of an analytic hierarchy process; 3, objective weight values of all the factors are obtained on the basis of an entropy weight method; 4, a comprehensive weight of indexes is calculated; 5, the evaluation conclusion membership degree is judged; 6, comprehensive evaluation is performed on the dam properties. According to the comprehensive evaluation method for the dam safety, expert knowledge, engineering experiences and measurement data can be utilized more fully, and the dam working properties can be analyzed and evaluated more comprehensively and thoroughly; in addition, an algorithm is clear, easy to achieve and good in robustness, and the method can serve as a more reliable decision aid mean in dam safety management.

The invention discloses a man-machine function allocation method of a civil aircraft cockpit, which sequentially comprises the following steps: comparing man-machine advantageous capabilities, determining the weight coefficient of each element in a capability advantage set by using an analytic hierarchy process, dividing the automation level of a civil aircraft cockpit system, determining the range of the automation levels based on the comparison of the man-machine advantageous capabilities, setting a function allocation evaluation criterion set, and finally determining the automation level of the man-machine function allocation of the cockpit. The invention can overcome the defect of strong subjectivity in the traditional qualitative analysis method.