Subjective trust evaluation method based on cloud model

Abstract

A subjective trust quantification evaluation method based on the cloud model theory which is applied under a network environment in a network activity based on interpersonal relationship is mainly used for solving the trust decision problem of a trust body during the interpersonal interactive process in the network environment which aims at profit or is nonprofit. The technical points of the invention are that: 1. comprehensive quantification processing and evaluating are carried out according to the historical subjective credit rating data of a trust object and aiming at the nondeterminacy of subjective data; 2. the comprehensive quantification processing and evaluating of the credit rating change of the object are carried out according to the subjective credit rating changing data of the trust object; 3. the trust decision is accomplished based on the quantification data obtained in the steps of 1 and 2. The subjective trust quantification evaluation method of thte invention can effectively solve the nondeterminacy problem of the subjective trust quantification evaluation and upgrades the successful rate of online trading or cooperation and the satisfaction of the trust body.

Description

technical field [0001] The invention relates to the field of trust evaluation and trust decision-making in network activities based on interpersonal relationships for the purpose of profit and non-profit under the Internet environment. Specifically, it relates to a cloud model-based subjective trust evaluation method. Background technique [0002] With the continuous expansion of the Internet application field and the improvement of various service functions, network applications are developing from closed to open, and Internet-based applications such as e-commerce and online transactions (B2B, C2C, B2C), online communities, and instant messaging are becoming more and more popular. become more abundant and widespread. These applications present different characteristics from local area networks: that is, the number of users is large and cannot be determined in advance, and users can fully interact with each other. This makes Internet users show a trend of socialization. Use...

AI Technical Summary

Problems solved by technology

There are a variety of trust modeling, evaluation and reasoning methods, including probabilistic methods, but their shortcomings are that they do not consider the ambiguity of trust itself, and their reasoning is based on purely probabilistic models, showing an "over" formalization The trend is far away from the reality of trust management; based on the fuzzy set theory subjective trust management model, language variables and fuzzy logic are introduced into the research of subjective trust reasoning

Fuzzy mathematics needs to define the membership function in advance, and once the membership function is determined, the membership degree of a certain value to a specific concept cannot be changed, which lacks certain flexibility

Images