International Journal of Computational Intelligence Systems

Volume 4, Issue 5, October 2011, Pages 759 - 767

A Reputation Evaluation Approach Based on Fuzzy Relation

Authors
Meiyu Fang, Xiaolin Zheng, Deren Chen
Corresponding Author
Meiyu Fang
Available Online 7 September 2011.
DOI
https://doi.org/10.2991/ijcis.2011.4.5.2How to use a DOI?
Keywords
reputation evaluation; fuzzy relation; reputation computing;trust passing; trust combination.
Abstract
In traditional models, fuzzy sets are used to describe trust degree and evaluate reputation for vague words. But in some practical applications, the determination of membership functions associated with vague concepts is difficult or impossible. This paper builds a reputation computing model based on fuzzy relation and provides a new reputation evaluation approach among vague concepts. The definition of reputation degree computing is given according trust passing and trust combination. The experimental results show the effectiveness of the proposed approach in reputation comparison among different sellers and various index assessment among products of one seller.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
4 - 5
Pages
759 - 767
Publication Date
2011/09
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2011.4.5.2How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Meiyu Fang
AU  - Xiaolin Zheng
AU  - Deren Chen
PY  - 2011
DA  - 2011/09
TI  - A Reputation Evaluation Approach Based on Fuzzy Relation
JO  - International Journal of Computational Intelligence Systems
SP  - 759
EP  - 767
VL  - 4
IS  - 5
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2011.4.5.2
DO  - https://doi.org/10.2991/ijcis.2011.4.5.2
ID  - Fang2011
ER  -