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Comparison with Several Fuzzy Trust Methods for P2P-based System

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5 Author(s)
Hongwei Chen ; Coll. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China ; Shengsheng Yu ; Jianga Shang ; Chunzhi Wang
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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.

Published in:

Information Technology and Computer Science, 2009. ITCS 2009. International Conference on  (Volume:2 )

Date of Conference:

25-26 July 2009