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...
Ausführliche Beschreibung
Autor*in: |
Meiyu Fang [verfasserIn] Xiaolin Zheng [verfasserIn] Deren Chen [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2011 |
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Schlagwörter: |
reputation evaluation; fuzzy relation; reputation computing;trust passing; trust combination. |
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Übergeordnetes Werk: |
In: International Journal of Computational Intelligence Systems - Springer, 2017, 4(2011), 5 |
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Übergeordnetes Werk: |
volume:4 ; year:2011 ; number:5 |
Links: |
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DOI / URN: |
10.2991/ijcis.2011.4.5.2 |
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Katalog-ID: |
DOAJ032924739 |
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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. |
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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. |
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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. |
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