Paper Title:
A Trustable Approach Based on Fuzzy Inference for P2P Systems
  Abstract

Trust management is one of the key problems in the P2P systems and e-commerce. Before they have the transaction, people always want to know whether the other side of the transaction partners can be trusted and how much degree of their trustworthiness. This paper proposes a trustable approach based on fuzzy inference in P2P systems and gives a detail discussion of fuzzy inference. They can inference their trust against the trustworthiness of the rules and compute the trustworthiness of the conclusion. This approach is adapted to the P2P environment which the rule and the proof which may be showed as fuzzy, and the approach also have practical meaning for us to build an effective P2P system.

  Info
Periodical
Chapter
Chapter 7: Computer Application in Design and Manufacturing (1)
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
3914-3918
DOI
10.4028/www.scientific.net/AMM.121-126.3914
Citation
H. Sun, L. Li, "A Trustable Approach Based on Fuzzy Inference for P2P Systems", Applied Mechanics and Materials, Vols. 121-126, pp. 3914-3918, 2012
Online since
October 2011
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Xu Dong Song, Wei Shao, Zhan Zhi Qiu, Yan Xia Chen
Chapter 3: Detection, Monitoring and Image Processing Technologies, Information Technologies, Control and MEMS
Abstract:In this paper, a new fuzzy inference method for fault diagnosis expert system is proposed. Firstly, fault antecedents were processed by...
639
Authors: Sergey Gorbachev, Vladimir Syryamkin
Chapter 5: Image and Signal Processing, Recognition, Information Processing and Applied Technologies
Abstract:The study discusses adaptive neuro-fuzzy methods of recognition of the multidimensional overlapping objects on the basis of the introduced...
683
Authors: Jing Wang, Gao Zheng
Chapter 10: Communication, Networks and Information Technologies
Abstract:The inclusion measure is an important index of fuzzy logic because of its wide application. This paper aims to put forward a new fuzzy...
769