162 results about "Ideal solution" patented technology

Disclosed is a system and method for a hybrid radar system that integrates frequency-modulated continuous wave (FMCW) mode and interferometry mode. The radar works as a time division system that continuously switches between the FMCW mode and interferometry mode. The FMCW mode is responsible for absolute range detection and the interferometry mode takes cares of the weak physiological movement monitoring. The respective accuracies in range detection and displacement measurement complements the advantages of the two radar modes, providing versatile performance. By steering the antenna beam, the proposed radar system becomes an ideal solution for indoor health care, human localization, and human-computer interaction. Objects or human targets with or without stationary clutters can be precisely located. At the same time, the targets' vital signs and gestures can be monitored.

The invention discloses a method for comprehensively evaluating the electric energy quality by applying a TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) of a grey correlation coefficient matrix, which comprises the following steps of: taking electric energy quality data at all time intervals and standard data at all grades as an original decision matrix; determining subjective weights through an improved AHP (Analytic Hierarchy Process); determining objective weights through an entropy method; establishing a least square method decision model to obtain a comprehensive weight, so that the deviation of decision results under the subjective weights and the objective weights of all indexes is the least; carrying out standardization and weighted standardization on the decision matrix and obtaining the grey correction coefficient matrix by utilizing the grey theory; taking the grey correction coefficient matrix as a decision matrix of the TOPSIS to obtain the distance between positive ideal solutions and negative ideal solutions of all schemes and the relative closeness of the positive ideal solutions and the negative ideal solutions; and comparing the electric energy quality closeness at all the time intervals with the standard closeness at all the electric energy quality grades to finally obtain the electric energy quality grades at all the time intervals. With the adoption of the method, the electric energy quality evaluation result can be objectively and reasonably obtained under the situation of poor information, so that the practicability and the feasibility are stronger.

The invention discloses a TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) model-based intelligent substation secondary equipment evaluation method. The method mainly comprises the following steps: (1) acquiring characteristic sample indexes of each secondary equipment of an intelligent substation; (2) constructing an initial matrix according to the characteristic sample indexes of each secondary equipment and further obtaining a standardized decision making matrix by using a vector standardization method; (3) determining a weight value matrix and performing point multiplication on the weight value matrix and the standardized matrix to obtain a standardized weight decision making matrix; (4) determining a positive ideal solution vector and a negative ideal solution vector, and calculating the relative similarity degree of an evaluation index and the positive ideal solution of each evaluation object; (5) obtaining the state level of each secondary equipment, then determining a weight value of each secondary equipment, and finally obtaining a weighted comprehensive state level of the secondary equipment of the intelligent substation. By using the method, large sample data with multiple indexes and multiple evaluation objects of the intelligent substation can be considered, so that the operation status of the secondary equipment of the intelligent substation is more accurately evaluated.

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 a database cluster system load balancing method and a database cluster system, and belongs to the field of information technology. The method comprises the following steps: (a) utilizing a cluster controller to acquire index values at each database back end to constituent a decision matrix; (b) calculating a weighted normalizing matrix according to the decision matrix; (c)calculating the distance between each database back end and plus-minus ideal solutions; and (d) after sequencing according to the distance difference value, utilizing the cluster controller to call the database back end according to the sequence. The system comprises the cluster controller and one or a plurality of the database back ends, wherein the cluster controller comprises a load balancing decision module, a back end detection module, a user request distribution module and a load information table; and each database back end comprises a communication module, a database server and a loadmeasurement module. The invention can be used for database cluster systems.

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.

The invention relates to a method for implementing cross-domain virtual network mapping, and belongs to the technical field of communications. According to the invention, after a user generates a business request, a service provider initiates construction of a multi-domain virtual network request, and an appropriate node and path are selected from an underlying cross-domain fusion network to bearresource demands of the multi-domain virtual network request. According to the invention, the virtual network request and the local and global topological attribute of a node in an underlying physicalnetwork are analyzed, the network local resource attribute is combined, a node multi-attribute evaluation model is established by means of an improved principal component analysis method, the priority of the node in the mapping process is measured based on the evaluation model and by means of the technique for order of preference by similarity to ideal solution, pressure distribution of an underlying link load is analyzed at the same time, a well-resourced bearing path is selected for a virtual link, an underlying multi-domain network resource can be better utilized, the construction successrate of the multi-domain virtual network request is increased, the ratio of network income to cost is increased, the resource distribution equilibrium is effectively improved, and network mapping timedelay can be reduced.

The invention discloses a method for evaluating the hazard of land subsidence. The method comprises the following steps that different indexes are selected to form a land subsidence hazard evaluation index system, normalization processing is carried out on all the indexes, the hazard rating of each evaluation index is built according to expert knowledge, the hazard ratings of the evaluation indexes form a matrix V, an AHP is utilized for calculating subjective weight, an entropy weight formula of land subsidence hazard evaluation is built, the objective weight of each index is calculated through entropy weight, comprehensive weight is calculated based on the AHP and the entropy weight, a weighted standardized matrix of the evaluation indexes is constructed, a positive ideal solution and a negative ideal solution are determined, the relative close degree is calculated, and the hazard rating of the land subsidence is evaluated according to the relative close degree. The method has certain practical application value and universality.

The invention belongs to the technical field of power quality analysis and especially relates to a node voltage sag severity comprehensive assessment method based on a weighted ideal point method. The method is characterized in that the method comprises the following steps: to begin with, establishing an attribute set and a scheme set; then, determining combination weight of each index in the attribute set based on an entropy weight method and a variation coefficient method; and finally, carrying out voltage sag severity comprehensive assessment based on the weighted ideal point method. Weighted distance between each scheme and positive and negative ideal solutions in the ideal point method and relative closeness between the scheme and the positive ideal solution are calculated respectively, and the schemes are ranked in a descending order in sequence to obtain an optimal scheme order. The method reflects voltage sag severity from the perspectives of frequency, duration and amplitude angle, and reflects influencing characteristics of sag frequency on the voltage sag severity from perspectives of the part and the whole, so that erroneous judgment due to single-index assessment is effectively prevented, voltage sag information of each node can be reflected more comprehensively and accurately, and the obtained result is objective, accurate and more realistic.

The invention discloses a reservoir group flood control scheduling scheme optimization method taking index correlation into consideration. The method comprises the following steps: constructing an index system for reservoir flood control scheduling schemes; measuring the degree to which the indexes in the index system are correlated by using a correlation analysis approach, converting the index system into a new index system of which the indexes are independent of each other by using a principal component analysis approach, and reducing the dimension of the original index system; calculating the weight of each index in the new index system by using an improved entropy weight approach; and analyzing the goodness of each scheduling scheme by taking the new index system and the weights of the indexes as input of a technique for order preference by similarity to an ideal solution. According to the method of the invention, the influence of index correlation to scheme screening is taken into consideration, and the research object is expanded from a single reservoir to a reservoir group. By adopting the method, the problem about index correlation in scheme selection can be solved effectively, and the dimension of the index system can be reduced. A powerful tool is provided for reservoir group flood control scheduling scheme optimization under the condition that the indexes are correlated.

The invention relates to a giant magnetoresistance spin valve magnetosensitive sensor and a manufacturing method thereof. The prior art technology and commercial production are extremely difficult. The invention comprises a Wheatstone bridge composed of four magnetoresistors, characterized in that the four magnetoresistors constituting the Wheatstone bridge are made of two different spin valve materials, wherein two magnetoresistors are made of ordinary is made of spin valve material, while the other two magnetoresistors are made of spin valve material with a synthetic antiferromagnetic pinned layer. The differential output signal of the Wheatstone bridge composed of these two pairs of magnetoresistors is outside Push-pull output is formed under the field. The GMR spin valve sensor is realized by two spin valve material deposition methods. Its advantages lie in maximizing the output signal, simple process, easy implementation, small size, high sensitivity and good linearity, and it is an ideal solution for realizing industrial production.

The invention provides a method for identifying a bottleneck of a job workshop by considering a multidimensional feature attribute of a machine. The method comprises the following steps of: performing job scheduling optimization solution by adopting an optimization algorithm; and then changing the conventional method for identifying the bottleneck according to a single factor of the machine, comprehensively considering multiple aspects of feature attributes of the bottleneck, supplying a multi-attribute bottleneck identification method, and comprehensively evaluating the performance of the machine to identify the bottleneck. By the method, bottleneck utilization and the bottleneck identification can be put under a uniform framework for performing integrated solution, so that the shortcomings of inaccurate bottleneck identification, non-optimal optimization scheme and the like which are caused by the conventional method in which the bottleneck identification is separated from the optimization scheme are overcome; after a scheduling optimization scheme is obtained, different feature attributes of the machine are comprehensively considered; the bottleneck is identified by the technique for order preference by similarity to ideal solution multi-attribute bottleneck identification method; and the shortcomings that the conventional bottleneck identification index is single-faceted, and an identification result is biased are overcome.

The invention, which belongs to the technical field of the mobile communication, relates to a modularization switching method base on load balancing and QoS in a heterogeneous network. According to the invention, in order to solve a problem of seamless switching in a next-generation heterogeneous network, the method enables switching to an optimal network to be realized rapidly and accurately by considering factors including the network performance, user preference, and load situations comprehensively. The method comprises: proper switching parameters are selected and normalization processing is carried out; the selected parameters are divided into two modules: a network quality (NQ) module and a user preference (UP) module, and the NQ module is processed by using a technique for order preference by similarity to ideal solution (TOPSIS) to obtain a result Qi and the UP module is processed by using fuzzy logic to obtain a result Pi; and a load factor alpha is introduced into the network to obtain a comprehensive score Z. According to the invention, the method meets the development trend focusing on user experience in a next-generation network; and the high computation complexity caused by dealing with too many parameters in a unified mode can be reduced. While the user service quality is met, the network load is balanced. Therefore, the method has the great application prospects.

The invention relates to a flying saucer type helicopter utilizing active airflow to generate lifting power. As everyone knows, the asymmetric airflow on the upper surfaces and lower surfaces of wings can generate lifting power, however for both a fixed wing aircraft and a propeller-driven aircraft, the wings move, the air is motionless, and airflow is passively generated. According to the invention, an opposite approach is chosen. Specifically, the wings are fixed, actively generated airflow flows through the upper surfaces of the wings, an air pressure difference is manufactured between the upper surfaces and lower surfaces of the wings so as to generate the lifting power, thus realizing a safe and simple aircraft that can achieve vertical take-off and landing, hovering, level flight and pivot steering. The appearance of the aircraft is similar to a flying saucer. By adjusting the angle between the airflow direction of the aircraft's upper surface and the radial direction, spin of the fuselage can be controlled, and by adjusting the flow velocity distribution of the front, back, left and right directions, the inclination direction of the aircraft body can be changed to realize level flight and direction control. The novel aircraft not only has all the advantages of traditional helicopters, but also has the characteristics of simplicity, compactness, safety, stability and the like, and is an ideal solution to one-man aircrafts and unmanned reconnaissance aerial vehicles.

The invention provides a comprehensive risk priority number calculating method for architecture. Three risk factors (the appearance frequency, the severity degree and the discovery index) in FMEA are evaluated in the mode that fuzzy numbers are utilized in software architecture in a leveled mode; the appearance frequency and the discovery index are determined through component complexity and expertise, and the weights of different risk factors are distinguished through the conception of information entropy; through the conceptions of a positive ideal solution and a negative ideal solution in a TOPSIS method, a more reasonable and accurate risk priority number rank is obtained; in this way, a comprehensive software-failing mode risk factor evaluation technology for the architecture is achieved. By means of the comprehensive risk priority number calculating method, at the initial software design stage, developers are helped to find out potential design defects in a system, and therefore the subsequent software development quality is guaranteed.

The invention discloses a power grid planning risk evaluation system and method based on a grey correlation degree TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution). The power grid program risk evaluation system comprises a power grid planning data acquisition module, a power grid planning scheme input module and a controller, wherein the power grid planning data acquisition module and the power grid planning scheme input module are independently connected with the controller; and the controller comprises a power grid risk evaluation index matrix generation module, a power grid risk evaluation index matrix solving module, a grey correlation degree matrix construction module and a power grid planning scheme risk sorting module. The invention has the beneficial effects that the power grid planning risk evaluation system introduces the controller which can process power grid planning data and sort power planning schemes to carry out optimal sorting on power grid enterprise risk indexes, a power grid planning scheme can be evaluated on the whole, potential risks in a power grid planning process can be effectively prevented and solved, power grid planning operation cost is saved, and power grid reliability is improved.

The invention discloses a multidimensional image-based product design scheme evaluation method. The method includes the following steps that: (1) a k-mean clustering analysis method and factor analysis method are utilized to obtain a typical sample and typical perceptual image which accord with the perceptual cognition of a user, and then, a user-image initial evaluation value is obtained through using a semantic differential method; and (2) a gray correlation analysis and technique for order preference by similarity to an ideal solution (TOPSIS)-combined method is used to realize order optimization of alternative design schemes under the specific requirements of the multidimensional image of the user, and this process includes determining an alternative design scheme set, generating an original evaluation matrix, calculating the weights of evaluation indexes through using information entropies, constructing a normalized evaluation matrix, calculating distances, calculating relative proximities and sequencing the schemes. With the method of the invention adopted, the subjectivity of the perceptual image acquisition of the user can be balanced, and the validity of data can be ensured.

According to the multi-skill personnel scheduling method in the research and development project combination, which can solve the technical problems that a multi-skill personnel scheduling decision inthe research and development project combination is high in complexity and high in difficulty. The method mainly comprises the steps of generating an initial scheme of multi-skill personnel scheduling in a project combination according to a traditional serial progress production mechanism; Establishing a project combination multi-skill personnel multi-target scheduling model by considering the learning effect of personnel; When a learning effect and a plurality of scheduling targets are considered, applying a multi-target improved ant colony algorithm to iteratively solve the multi-skill multi-target scheduling model to obtain a Pareto solution set; And for the Pareto solution set, solving an optimal solution of the model by adopting an approximate ideal solution sorting method, and taking the optimal solution as a personnel configuration scheme for the project combination multi-skill personnel multi-target scheduling problem. On the basis of considering the cost and the constructionperiod of a traditional project personnel scheduling model, the personnel learning effect is further considered, the personnel skill training decision-making target is increased, rapid solving of themodel is achieved, and the decision-making requirements of enterprise managers are met.

The invention provides a virtual ocean battlefield 3D visualization effect assessment method, and belongs to the technical field of virtual reality. Firstly, the hierarchical relation of indexes is assessed through the analytic hierarchy process according to the virtual ocean battlefield 3D visualization effect, and the subjective weight reflecting an expert knowledge base is obtained through qualitative and quantitative analysis; the objective weight is determined through the difference drive principle according to the variation degree of the indexes in index sets and the degree of influence on other indexes. The two methods are combined so that the insufficient data volume caused by objective empowerment can be avoided and randomness of subjective empowerment can also be overcome, and the evaluation result is more objective and reasonable. Besides, game theory weight sets become consistent and transigent between the subjective weight and the objective weight, the sum of deviations between the mixed weight and each weight is the smallest, and therefore weight optimization is achieved. Finally, aggregation of the indexes and the weights is achieved by means of double-base-point multi-attribute decision making, closing to an ideal solution and keeping away from a negative ideal solution are used as criterions for evaluating various feasible programs, and a virtual ocean battlefield simulation system is built at last.

The invention discloses a fuzzy TOPSIS evaluation method, which comprises the following steps: 1) obtaining an expert evaluation original matrix and calculating index comprehensive weight; 2) calculating a weight standard decision matrix and positive and negative ideal solutions; and 3) calculating close degree of each candidate evaluation object. The improvement lies in that, in the step 3), a traditional Euler distance formula is improved, preferences of experts for evaluation indexes are considered, and a weight standard Euler distance function is constructed; and the close degree of each candidate evaluation object is calculated by utilizing weight standard Euler distance. The technical effects are that a ranking result obtained under a fuzzy condition has very high robustness; and meanwhile, the problem that when preferences of the experts for evaluation indexes are different, evaluation results are same in an existing TOPSIS evaluation method is prevented.

The invention discloses a reconstruction method of a terminal under the environment of a cognitive radio network and belongs to the communication technology field. The invention mainly solves the problem that the terminal is frequently reconstructed and can not effectively make a decision. The reconstruction method comprise the specific processes: firstly, acquiring various attribute data of the network for covering an area where the network terminal is positioned; secondly, determining the weights of all attributes of an access network by applying an eigenvector method; thirdly, constructing a weighted and specified decision array according to the various attributes of reconfiguration schemes; fourthly, listing an ideal solution and a negative-ideal solution; fifthly, calculating a virtual worst solution; sixthly, calculating distances from each reconstruction scheme to the ideal solution and from the reconstruction scheme to the negative-ideal solution; seventhly, calculating comprehensive evaluation indexes of each reconstruction scheme; and eighthly, arranging good and bad sequences of each reconstruction scheme and selecting the optimal scheme access network. The invention not only can effectively determine the weights of various attributes in each reconstruction scheme and select the optimal scheme access network, but also can be used for the reconstruction of the terminal under environment of the cognitive radio network.

The invention relates to a production and transportation cooperative scheduling method and a production and transportation cooperative scheduling system based on improved harmony search. The production and transportation cooperative dispatching method comprises the steps of: 1, performing group batching on work pieces; 2, setting algorithm parameters; 3, generating an initial harmony library; 4, calculating an adaption degree value; 5, acquiring a negative ideal solution of the harmony library; 6, generating a new harmony; 7, performing harmony library searching operation on the new harmony, and updating the new harmony; 8, comparing the new harmony with the negative ideal solution, if the new harmony is superior to the negative ideal solution, substituting the negative ideal solution and updating the harmony library; 9, updating a global optimal solution; 10, and judging whether a termination condition is satisfied, if so, outputting the global optimal solution, otherwise, returning to the step 4. The production and transportation cooperative scheduling method and the production and transportation cooperative scheduling system can realize the optimization of overall efficiency of the supply chain, thereby reducing cost of the supply chain, and enhancing customer satisfaction level.

Provided is a transformer repair risk decision-making method characterized by constructing an initial repair decision matrix by using a method combining fuzzy evaluation with accurate evaluation, forming a decision scheme stationing set according to the number of test times of a orthogonal table; computing the mahalanobis distance between each repair scheme and positive-negative ideal solution; setting a repair decision influence factor so as to construct a positive-negative prospect value matrix; and computing the comprehensive prospect value of each repair scheme and selecting an optimal scheme. The method uses a quantitative and qualitative combined way, prevents information loss caused by a fuzzy number precision process, introduces a gray cumulative prospect theory and is improved in validity.

Disclosed is a system and method for a hybrid radar system that integrates frequency-modulated continuous wave (FMCW) mode and interferometry mode. The radar works as a time division system that continuously switches between the FMCW mode and interferometry mode. The FMCW mode is responsible for absolute range detection and the interferometry mode takes cares of the weak physiological movement monitoring. The respective accuracies in range detection and displacement measurement complements the advantages of the two radar modes, providing versatile performance. By steering the antenna beam, the proposed radar system becomes an ideal solution for indoor health care, human localization, and human-computer interaction. Objects or human targets with or without stationary clutters can be precisely located. At the same time, the targets' vital signs and gestures can be monitored.

The invention discloses an integrated driller monitoring system. The integrated driller monitoring system comprises three layers of network, namely, multiple office driller monitoring client ends, an assistant driller client end and a closed-circuit video controller are accessed to an industrial closed-circuit television monitoring video network via respective exchangers; total nine computers including the assistant driller client end, a main driller client end and the office driller monitoring client ends as well as a historical database server, an online technical support client end and two on-site data servers are respectively accessed to an upper-layer data monitoring communication network via respectively industrial exchangers; and the historical database server, the online technical support client end, the two on-site data servers, the main driller client end and the assistant driller client end are respectively accessed to an on-site data communication network via the respective industrial exchangers. The integrated driller monitoring system is an ideal solution for remote monitoring and online management for modern driller controlling.

The invention discloses a user demand response potential portraying method which comprises the following steps: fully extracting power utilization characteristics of a user under different time scalesthrough data mining to form an index evaluation system; carrying out de-dimension and normalization processing on the load characteristic index; index objective weights under the three demand response modes of rotation, time staggering and peak avoidance are obtained respectively; obtaining comprehensive potential quantized values under three demand response modes of user rotation, time staggering and peak avoidance according to an approximate ideal solution sorting method by combining a weighted index evaluation system; and clustering according to the user comprehensive potential quantized value by using a neighbor propagation algorithm, and segmenting the user into different feature groups to realize the portrait of the user demand response potential. The method can be suitable for determining the demand response type suitable for users of a certain feature group to participate in specific implementation of the demand response, meanwhile, the users meeting the requirements can be screened out according to the demand response measures, and a reliable basis is provided for evaluation and implementation of the demand response.

The invention discloses an electric car user charging selecting auxiliary decision-making method taking power transmission congestion into account. The electric car user charging selecting auxiliary decision-making method comprises the following steps that an electric car is judged to have the charging demand; road conditional information of traffic routes from the position where the electric caris located to all alternative charging stations is collected and analyzed; the charging time after the electric car reaches all the alternative charging stations is analyzed and calculated; accordingto the congestion situation of a power distribution network, the power sensitivity is calculated through the power flow, and corresponding guiding electricity price is formulated for all the alternative charging stations; and by combining with the road conditional information, the charging time and the guiding electricity price of the alternative charging stations, a charging selecting comprehensive judgment index system is built by applying an analytic hierarchy process, an entropy weight method and a technique for order preference by similarity to ideal solution, and optimal selecting for electric car user charging is completed. Effective technological means are provided for solving the electric car charging selecting problem, distribution of electric car charging loads is optimized while cost is saved for a user, and stable operation of the power distribution network is facilitated.

The invention relates to the field of transformer electromagnetic design scheme evaluation, in particular to a cloud ideal solution evaluation method for a transformer electromagnetic design scheme. The method comprises the steps of screening evaluation indexes, collecting and arranging data, and constructing a cloud model decision matrix; according to the cloud model decision matrix, generating a deterministic decision matrix; determining a weight of a cloud model; according to the weight of the cloud model, generating a deterministic weight; determining positive ideal cloud and negative ideal cloud; calculating a comprehensive determination degree of each scheme for the positive and negative ideal cloud; calculating a close degree of each scheme; and according to the close degrees, sorting to-be-evaluated schemes. According to the method, a technique for order preference by similarity to ideal solution (TOPSIS) is improved by utilizing the randomness and fuzziness of a cloud theory, the shortcomings of a conventional TOPSIS for calculating the close degree by utilizing a Euclidean distance and determining an evaluation model are overcome, the indeterminacy in realistic evaluation is reflected, and the flexibility, effectiveness and objectivity of transformer electromagnetic design scheme evaluation are improved.

The invention discloses a reliability determining method and device for an electric power communication net. The method comprises the steps that reliability indexes of the electric power communication net and the practical values of all the indexes are determined; value ranges of all the indexes at all preset grades are determined; positive ideal solutions and negative ideal solutions of all the grades are calculated according to the value ranges; every two indexes are compared, and weight intervals of all the indexes are calculated according to comparison results; Euclidean distance intervals of the practical values of the indexes to the positive ideal solutions of all the grades and Euclidean distance intervals of the practical values of the indexes to the negative ideal solutions of all the grades are calculated according to the weight intervals; the degrees of association of the practical values of the indexes and all the grades are calculated according to the Euclidean distance intervals; the grade corresponding to the maximum value of the degree of association is determined as the reliability grade of the electric power communication net. Objective influences can be weakened by calculating the weight intervals; the indexes are graded, the Euclidean distances are normalized through weighting, the similarity degree of the overall indexes and all the grades can be reflected, and the reliability of the electric power communication net can be integrally and comprehensively evaluated.

The invention discloses a multi-objective optimization scheduling method suitable for coastal region water resources. The method comprises the steps of generalizing a water resource system according to the characteristics of a coastal region; determining an objective function and constraint conditions, and establishing a multi-water-source multi-objective multi-user coastal region water resource optimization scheduling model; using a multi-objective particle swarm optimization algorithm to solve a multi-objective optimization problem based on Pareto dominance, and constructing a non-inferior solution set of a coastal region water resource optimization scheduling model by judging a dominance relation; and acquiring an optimal scheme by taking the minimum Euler distance from the ideal solution as the criterion. According to the method, the current situation of engineering type and water quality type mixed water shortage in the coastal region is taken as the background; The invention provides an optimal scheduling method for combined water supply of a plain reservoir, a plain river network and a long-distance water transfer project, which conforms to the characteristics of the coastalregion, realizes a water resource scheduling pattern of quality-based water supply and excellent water utilization, and has practical significance for improving the situation of water resource shortage of the coastal region.