A reputation scheme with witness reasoning for service selection

Service consumers would have different degrees of satisfaction on a service and a collection of these impressions over a period of time within a network give service reputation. Service reputation can be propagated via referral network recommendation. Reputation can be a criterion for service select...

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Bibliographic Details
Main Authors: Ping Wang, Kuo-Ming Chao, Chi-Chun Lo, Pu-Tsun Kuo
Format: Conference Proceeding
Language:English
Subjects:
Aggregates
Bayesian methods
Chaos
Computer networks
Fuzzy reasoning
Fuzzy systems
Humans
Information management
Quality of service
Web services
Online Access:Request full text
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Description
Summary:Service consumers would have different degrees of satisfaction on a service and a collection of these impressions over a period of time within a network give service reputation. Service reputation can be propagated via referral network recommendation. Reputation can be a criterion for service selection. The proposed service selection model is able to estimate Web service reputation by collecting customer witnesses to form fuzzy inference rules and to solve the conflicts via compromise strategy. It used fuzzy Petri net (FPN) to simulate referral network and outrank services based on their reputations. Finally, an example of reputation-based Web services selection is used to demonstrate the proposed approach.
ISSN:2163-2871
2689-7121
DOI:10.1109/SOCA.2009.5410447