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Method for scoring degree of satisfaction of user to commodity based on fuzzy number

A fuzzy number and satisfaction technology, applied in the field of data processing, can solve the problem that the scoring accuracy cannot reasonably represent the real thoughts of users

Pending Publication Date: 2022-06-03
BEIJING NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This shows that the traditional precise scoring mechanism cannot reasonably express the real thoughts of users due to the limitation of scoring accuracy

Method used

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  • Method for scoring degree of satisfaction of user to commodity based on fuzzy number
  • Method for scoring degree of satisfaction of user to commodity based on fuzzy number
  • Method for scoring degree of satisfaction of user to commodity based on fuzzy number

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Embodiment Construction

[0068] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0069] like Figure 5 As shown, in this embodiment, a fuzzy number-based scoring method for user satisfaction with commodities is provided, including the following steps:

[0070] S1. The scores of all users participating in the scoring are described by a fuzzy number. The parameters contained in this fuzzy number include the lower limit a, the center b, the upper limit c, and the left concentration μ - and the right-hand concentration μ + ;

[0071] S2. Aggregate each fuzzy number. The aggregation method is to obtain a new parameter after each parameter is weighted and averaged, and a new fuzzy number...

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Abstract

The invention discloses a user satisfaction degree scoring method based on a fuzzy number, and the method comprises the following steps: S1, the scores of all users participating in scoring are respectively described by a fuzzy number, and the parameters of the fuzzy number comprise a lower limit a, a center b, an upper limit c, a left concentration degree mu-and a right concentration degree mu +; s2, all the fuzzy numbers are aggregated, the aggregation mode is that a new parameter is obtained after weighted averaging is carried out on all the parameters, and a new fuzzy number is determined through the new parameter. The method has the advantages that the fuzzy number is introduced to describe the comprehensive evaluation of the user on the commodity, and compared with the traditional accurate number, the fuzzy number is adopted to describe the score of the user, so that the subjective real score can be better described.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a fuzzy number-based scoring method for user satisfaction with commodities. Background technique [0002] Elements have only two relationships of "belongs to" and "does not belong to" to classical sets, but some concepts are vague and do not conform to the concept of "sets". So people define a "fuzzy set": the relationship of an element to a fuzzy set is "belongs to with a membership degree of m", where m is a real number on [0,1], indicating the degree to which the element belongs to the set, called "membership degree" ". m=0 means not belonging at all, m=1 means completely belonging. In this sense, the classical set is a special case of the fuzzy set, and its special point is that the membership degree m can only take 0 or 1. In a fuzzy set, the correspondence between each element and its membership to the set is called "membership function". [0003] The function o...

Claims

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Application Information

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IPC IPC(8): G06F16/2458G06Q10/06G06Q30/06
CPCG06F16/2462G06Q10/0639G06Q30/0601
Inventor 郑创李睿林王晗
Owner BEIJING NORMAL UNIVERSITY