A Reputation Evaluation Approach Based on Fuzzy Relation
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 o...
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2011-10-01
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Series: | International Journal of Computational Intelligence Systems |
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Online Access: | https://www.atlantis-press.com/article/2363.pdf |
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doaj-069f755d3c894f08a58681469c51123a2020-11-25T02:06:05ZengAtlantis PressInternational Journal of Computational Intelligence Systems 1875-68832011-10-014510.2991/ijcis.2011.4.5.2A Reputation Evaluation Approach Based on Fuzzy RelationMeiyu FangXiaolin ZhengDeren ChenIn 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.https://www.atlantis-press.com/article/2363.pdfreputation evaluation; fuzzy relation; reputation computing;trust passing; trust combination. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Meiyu Fang Xiaolin Zheng Deren Chen |
spellingShingle |
Meiyu Fang Xiaolin Zheng Deren Chen A Reputation Evaluation Approach Based on Fuzzy Relation International Journal of Computational Intelligence Systems reputation evaluation; fuzzy relation; reputation computing;trust passing; trust combination. |
author_facet |
Meiyu Fang Xiaolin Zheng Deren Chen |
author_sort |
Meiyu Fang |
title |
A Reputation Evaluation Approach Based on Fuzzy Relation |
title_short |
A Reputation Evaluation Approach Based on Fuzzy Relation |
title_full |
A Reputation Evaluation Approach Based on Fuzzy Relation |
title_fullStr |
A Reputation Evaluation Approach Based on Fuzzy Relation |
title_full_unstemmed |
A Reputation Evaluation Approach Based on Fuzzy Relation |
title_sort |
reputation evaluation approach based on fuzzy relation |
publisher |
Atlantis Press |
series |
International Journal of Computational Intelligence Systems |
issn |
1875-6883 |
publishDate |
2011-10-01 |
description |
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. |
topic |
reputation evaluation; fuzzy relation; reputation computing;trust passing; trust combination. |
url |
https://www.atlantis-press.com/article/2363.pdf |
work_keys_str_mv |
AT meiyufang areputationevaluationapproachbasedonfuzzyrelation AT xiaolinzheng areputationevaluationapproachbasedonfuzzyrelation AT derenchen areputationevaluationapproachbasedonfuzzyrelation AT meiyufang reputationevaluationapproachbasedonfuzzyrelation AT xiaolinzheng reputationevaluationapproachbasedonfuzzyrelation AT derenchen reputationevaluationapproachbasedonfuzzyrelation |
_version_ |
1724935168030932992 |