7 results about "Fuzzy matrix" patented technology

The invention provides an aerospace titanium alloy ecological design performance evaluation method, device, equipment and medium, and relates to the field of new materials.The aerospace titanium alloy ecological design performance evaluation method comprises the steps that life cycle evaluation software is utilized, and based on life cycle list data of a target titanium alloy, environment influence data and environment contribution data of the whole production and manufacturing process of the target titanium alloy are calculated; performing weighted scoring on the full performance and the working condition service life performance of the target titanium alloy to obtain a service life evaluation result of the target titanium alloy; and obtaining a comprehensive ecological design evaluation result by using a fuzzy matrix and a scoring card model based on the environmental influence data and the environmental contribution data of the target titanium alloy whole production and manufacturing process and the life evaluation result. Thus, the influence of the titanium alloy whole production and manufacturing process on the environment is considered, a life evaluation result is obtained through weighted scoring of the performance, finally, a fuzzy matrix and a scoring card model are utilized, environment factors and performance life factors are combined, and a comprehensive ecological design evaluation result is obtained. And basis and data support are provided for type selection and use of titanium alloy in the aerospace field and industry green carbon reduction.

The invention belongs to the technical field of man-machine cooperation and multi-modal perception, and particularly relates to a multi-modal human body action recognition method and system based on credible belief redistribution. The method specifically comprises the following steps: acquiring a multi-modal signal containing three-dimensional skeleton data, an electroencephalogram signal and an electrocardiosignal; preprocessing the signal to obtain a multi-source input sequence with consistent time sequence; respectively constructing an action recognition basic classifier based on each mode, and outputting basic trust distribution; calculating a discount factor by using a K-nearest neighbor algorithm; constructing a fuzzy matrix according to the confusion probability between action categories in the training set; carrying out credible redistribution on the belief value of each classifier according to the discount factor and the fuzzy matrix; and adopting a Dempster-Shafer evidence fusion rule to carry out fusion on the redistributed belief, and outputting a final action recognition result. The method can effectively model the uncertainty between modes, improves the accuracy and robustness of motion recognition in a complex environment, and is suitable for intelligent manufacturing, rehabilitation training and man-machine cooperation scenes.

The invention discloses an automatic driving risk avoiding decision-making weight determination method fusing driving styles, and belongs to the technical field of automatic driving, and the method comprises the following steps: collecting subjective score data of a driver, defining a conflict scene and quantifying a risk level, normalizing the data, clustering the data to obtain three types of driving styles, and constructing a scene-style unit; through fuzzy matrix construction and deblurring, AHP subjective weight calculation and consistency check, factor correlation coefficient and conflict index calculation, CRITIC objective weight calculation and subjective and objective weight fusion, a weight mapping table of a matching scene and a driving style is output, and personalized decision is supported. According to the automatic driving risk avoiding decision-making weight determination method fusing the driving style, automatic driving risk avoiding decision individuation is achieved, the risk resisting ability of different traffic participants is considered, the weight can be flexibly adjusted according to the conflict scene and the driving style, and the decision reasonability and adaptability are improved.

The present application belongs to the technical field of equipment maintenance support decision, discloses a kind of equipment maintenance task priority evaluation method and system, the present application obtains maintenance task dataset and attribute evaluation set, based on scene discrimination parameter selection evaluation path;In hesitant fuzzy evaluation path, hesitant fuzzy matrix is constructed, the expected value and variance value are calculated, the weight optimization objective function is constructed based on attribute correlation degree to solve weight vector, normalization and comprehensive evaluation sorting are carried out;In analytic hierarchy process-approximate ideal solution evaluation path, hierarchical structure model and judgment matrix are constructed to calculate weight, standardized using Logistic function, determine positive and negative ideal solution, calculate closeness degree and sort, the present application realizes the unity of wartime rapid response and daily fine evaluation by the scene adaptive double-path evaluation mechanism, effectively solves the problem of insufficient description of decision ambiguity and lack of dynamic adaptation ability.

The application discloses a kind of based on fuzzy comprehensive evaluation's advantage seepage channel identification method, it is related to oil reservoir development technical field.The method includes: obtaining oil reservoir related data, screening evaluation index and constructing evaluation index system;Using analytic hierarchy process to determine the weight of each index, and obtaining weight vector;According to the distribution characteristics of each index, membership function is constructed;Membership degree is calculated to each index observation value, and fuzzy relation matrix is formed;The weight vector and fuzzy relation matrix are carried out fuzzy matrix multiplication, and the fuzzy comprehensive evaluation result vector is obtained;Whether there is advantage seepage channel in oil reservoir area is determined according to the comparison result of evaluation value and preset threshold value, and dynamic data and / or numerical simulation result is verified.The application can effectively handle the fuzziness and uncertainty of oil reservoir data, improve the accuracy and reliability of advantage seepage channel identification, and optimize oil reservoir development decision.

This invention belongs to the field of grouting evaluation technology, specifically relating to a method for evaluating the effect of grouting sealing and reinforcement. The method includes: S1. Determining the influencing factors of the grouting sealing and reinforcement effect; establishing a hierarchical evaluation level for grouting sealing based on these influencing factors; S2. Establishing a judgment matrix for the influencing factors based on the hierarchical evaluation level, assigning importance values ​​to each influencing factor, and calculating the weight vector of the judgment matrix; S3. Verifying the consistency of the judgment matrix; S4. Determining the influence weights of secondary evaluation indicators on the grouting sealing evaluation level, establishing an evaluation matrix through primary and secondary evaluation indicators, assigning specific numerical values ​​to the evaluation levels, and using the fuzzy matrix single-valued method to determine the sealing and reinforcement effect of fractured and fissured sudden water inrush. This improves the systematicness and accuracy of the grouting sealing and reinforcement effect evaluation method.

A bayesian inference method for reliability of high-voltage power supply under common cause failure influence belongs to the technical field of high-voltage power supply reliability analysis. A dynamic fault tree of the high-voltage power supply is constructed; the proportion of common cause failure occurrence in each pair of bottom event failure is obtained, a fuzzy matrix is constructed by collecting evaluation opinions for the proportion of bottom events; the common cause failure factor of each pair of bottom events is determined; the dynamic fault tree of the common cause failure is converted into a discrete-time bayesian network, and the bayesian network graph, the conditional probability table and the marginal probability table are obtained respectively; the bidirectional inference is carried out on the dynamic reliability of the high-voltage power supply, and the reliability and maintainability indexes of the high-voltage power supply in each time period are calculated. The common cause failure factor is determined through the fuzzy theory, and the dynamic fault tree considering the common cause failure is mapped into the bayesian network for reliability analysis, so that the problems of difficult determination of the common cause failure factor and large calculation amount of the reliability analysis are solved, and the precision and calculation efficiency of the high-voltage power supply reliability analysis are effectively improved.