Hesitant fuzzy-based pension service combination optimization method and system

Abstract

The invention discloses a hesitant fuzzy-based pension service combination optimization method and system, and relates to a hesitant fuzzy-based pension service combination optimization method. The method comprises the steps of S1, obtaining index weights and index value information corresponding to multiple evaluation indexes of customers and pension service providers, obtaining a benefit loss matrix of the customer and the pension service provider according to the obtained index weight and the index value information, converting the obtained benefit loss matrix into a foreground matrix, andusing the foreground matrix according to different attitudes of the customer and the pension service provider to the risk to obtain a comprehensive foreground matrix; s2, according to the obtained comprehensive foreground value of the comprehensive foreground matrix, establishing a mathematical model for maximizing the total satisfaction of the customer and the pension service provider; s3, establishing an NSGA-II algorithm according to the mathematical model for maximizing the total satisfaction of the customer and the elderly care service provider; and S4, a Pareto frontier solution set of the customer and the pension service provider is calculated through the established NSGA-II algorithm.

Description

technical field [0001] The invention relates to the technical field of pension service combination optimization, in particular to a method and system for pension service combination optimization based on hesitation and fuzziness. Background technique [0002] In recent years, with the rapid increase of the elderly population in our country, not only the number of elderly customers has increased, but also the categories have continued to expand; and with the improvement of the living standards of Chinese residents, the needs of elderly customers for elderly care services have become more and more diversified and complication. Under the guidance and help of the government, many types of elderly care service institutions have sprung up, and the elderly care service industry has developed rapidly. With the rapid development of the "Internet +" era, the elderly care service industry has also rapidly transformed and upgraded. The correct use and optimal scheduling of elderly care...

AI Technical Summary

Problems solved by technology

[0003] Due to the complexity of the existing elderly care service industry and the limitations of human thinking, the service index information required by elderly customers and the service index information given by service providers are sometimes not clear

However, the existing old-age service combination method only uses a simple data to reflect, which may cause distortion or incomplete information, so that it cannot properly solve the problem of old-age service combination optimization with fuzzy supply and demand information.

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