5 results about "Fuzzy operators" patented technology

The present application relates to the technical field of drainage board, and particularly relates to a fuzzy comprehensive evaluation method, equipment and medium for degradable drainage board degradation performance, which comprises the following steps: preparing PLA / PBAT composite modified degradable drainage board and burying the drainage board in soft soil samples or simulated soil solution environment; testing initial performance of the drainage board and mechanical properties, hydraulic performance and molecular structure related indexes of the drainage board at different predetermined ages; performing dimensionless processing on the test indexes to obtain corresponding retention rates and glass transition temperature retention degrees; based on the dimensionless indexes, constructing an evaluation index factor set and a comment set, determining index weights by using a combination method of entropy weight method and analytic hierarchy process, and performing fuzzy comprehensive evaluation by using minimum upper bound and type fuzzy operators to calculate a comprehensive evaluation score; combining with an engineering predetermined safety threshold, determining a drainage board degradation completion time or a reasonable service upper limit according to a change curve of the comprehensive evaluation score with the age, and constructing a multi-index evaluation system, which reduces engineering risks caused by single index evaluation.

The invention relates to the technical field of landslide evaluation, in particular to a surface mine slope landslide disaster early warning method based on a fuzzy comprehensive evaluation method, which comprises the following steps: determining the membership degree of each evaluation factor in an evaluation factor set based on a factor comment set, quantizing a fuzzy evaluation matrix representing a fuzzy relationship among the evaluation factors according to the membership degree; constructing a self-adaptive weight for each evaluation factor; and selecting a fuzzy operator, performing fuzzy calculation on the adaptive weight and the fuzzy evaluation matrix of each evaluation factor by using the fuzzy operator, and constructing a dynamic quantitative model. According to the method, a fuzzy comprehensive evaluation method is used for evaluating the landslide risk, multi-attribute and multi-level evaluation factors are covered, the comprehensiveness of evaluation criteria is improved, the evaluation effect is ensured, and a dynamic quantitative model for evaluating the landslide risk of the mine slope in real time is constructed in combination with an adaptive mechanism. The slope landslide risk is continuously monitored, and the applicability of slope landslide evaluation is enhanced.

The invention discloses a multistage fuzzy comprehensive evaluation method for exoskeleton efficiency enhanced heavy protective clothing, and the method comprises the steps: employing a Delphi consultation method to combine with the function and application scene of the exoskeleton efficiency enhanced heavy protective clothing, and determining a multilayer evaluation index system for evaluating the wearing comfort, the equipment efficiency and the practicality; setting a quantification rule for each evaluation index in the evaluation index system; constructing an indirect discrimination matrix by introducing an importance degree sorting index, performing consistency check to obtain a subjective weight of the evaluation index, obtaining an objective weight of the evaluation index by adopting a CRITIC method, and performing linear combination on the subjective weight and the objective weight according to a principle of solving an equilibrium solution by a game theory to obtain an optimal combination weight; and selecting a membership function according to the numerical characteristics of each evaluation index, determining a comment set, constructing a fuzzy discrimination matrix of the evaluation indexes to the comment set, and performing fuzzy operation by using the optimal combination weight and a fuzzy operator to obtain a fuzzy comprehensive evaluation result.

Embodiments of the present disclosure relate to methods, systems, and computer program products for observation data evaluation. In a method, a hierarchical relationship between a plurality of observation items is obtained based on a dataset including a plurality of observation samples. Here, an observation sample in the plurality of observation samples includes a group of measurements for the group of observation items, respectively. A plurality of evaluation models for evaluating an observation sample is generated based on the hierarchical relationship according to a predefined group of membership functions and a predefined group of fuzzy operators. An evaluation model is selected for a further evaluation from the plurality of evaluation models based on a plurality of confidence intervals for the plurality of evaluation models. With these embodiments, the evaluation model may be obtained in an easy and more effective way.

The application discloses a multi-objective vehicle path optimization method based on fuzzy time window satisfaction degree, which is suitable for a distribution scene containing a distribution center, vehicles and customer sites. The method first acquires customer coordinates, demand, time window and other data and calculates a distance matrix, generates a disturbed time window after disturbance on the basis of random disturbance of the deterministic time window, and represents the disturbed time window as a three-parameter fuzzy number [a, m, b]. The fuzzy arrival and service time are obtained through fuzzy operator recursion. Then, a quasi-trapezoidal membership function is constructed to calculate customer satisfaction and average satisfaction through barycenter and similarity. A heuristic and roulette are used to generate an initial population, and a distribution cost Cost and average satisfaction AvgMu are used as double targets. After non-dominated sorting, tournament selection, crossover and mutation evolution, the solution quality is optimized by combining local search, and the Pareto optimal solution set is output after the termination condition is met. The application integrates the uncertainty of the time window into optimization, balances the cost and satisfaction, and improves the path robustness.