DocumentCode
2759008
Title
Comparison with Several Fuzzy Trust Methods for P2P-based System
Author
Chen, Hongwei ; Yu, Shengsheng ; Shang, Jianga ; Wang, Chunzhi ; Ye, Zhiwei
Author_Institution
Coll. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
2
fYear
2009
fDate
25-26 July 2009
Firstpage
188
Lastpage
191
Abstract
Due to fuzzy logic can help in handling the imprecise nature and uncertainty of trust, some papers use several fuzzy logic methods(such as fuzzy inference and fuzzy comprehensive evaluation) to tackle trust modeling for P2P-based system. However, nobody summarizes difference of these fuzzy logic methods. In this paper, authors present a general fuzzy trust problem domain for P2P-based system, and compare fuzzy comprehensive evaluation method, fuzzy rank-ordering method, and fuzzy inference method through a concrete paradigm. Results demonstrate that different fuzzy trust method for P2P-based system may deduce different fuzzy results to the same question. Through the paradigm, we can conclude that: To the question of general P2P fuzzy trust problem domain, complexity and scalability of fuzzy comprehensive evaluation method for P2P-based trust system is superior to that of fuzzy rank-ordering method and that of fuzzy inference method.
Keywords
fuzzy logic; fuzzy reasoning; fuzzy set theory; peer-to-peer computing; security of data; uncertainty handling; P2P-based system; fuzzy comprehensive evaluation method; fuzzy inference method; fuzzy logic method; fuzzy rank-ordering method; fuzzy trust method; fuzzy trust problem domain; trust uncertainty; Computer science; Concrete; Decision making; Educational institutions; Fuzzy logic; Fuzzy systems; Information technology; Paper technology; Peer to peer computing; Uncertainty; Fuzzy Comprehensive Evaluation; Fuzzy Inference; Fuzzy Rank-ordering; Fuzzy Trust Model; Peer-to-Peer;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
Conference_Location
Kiev
Print_ISBN
978-0-7695-3688-0
Type
conf
DOI
10.1109/ITCS.2009.208
Filename
5190212
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