Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
권호 표지
DOI QR코드

DOI QR Code

A Fuzzy Trust Model incorporating Dispositional Trust, General Trust, Situational Trust and Reputation

기질신뢰, 일반신뢰, 상황신뢰, 명성을 고려한 퍼지 신뢰모델

  • Lee, Keon-Myung (School of Electrical and Computer Engineering and RICIS, Chungbuk National University) ;
  • Lee, Kyung-Mi (School of Electrical and Computer Engineering and RICIS, Chungbuk National University)
  • 이건명 (충북대학교 전기전자컴퓨터공학부, 컴퓨터정보통신연구소) ;
  • 이경미 (충북대학교 전기전자컴퓨터공학부, 컴퓨터정보통신연구소)
  • Published : 2006.12.25
Download PDF
⟨ Previous Next ⟩

Abstract

Trust can be defined as the level of subjective probability with which an agent will perform a particular action. This paper proposes a comprehensive fuzzy trust model which incorporates dispositional trust, general trust, and situational trust and reputation information. In the model, the preference degrees for the interaction outcomes with respect to the evaluation criteria are expressed in a fuzzy set, and Sugeno's fuzzy integral is employed to aggregate the satisfaction degrees with respect to the importance of evaluation criteria which can be assigned in a way to preserve the properties of the ${\lambda}-fuzzy$ measure.

신뢰는 다른 상대가 특정한 행동을 할 것이라고 믿는 정도를 나타내는 주관적인 확률값으로 정의할 수 있다. 본 논문에서는 신뢰값을 결정하는 데서 고려되는 기질신뢰, 일반신뢰, 상황신뢰를 모두 고려하고, 또한 상대에 대한 명성정보를 이용하는 종합적인 퍼지 신뢰모델을 제안한다. 제안한 모델은 거래에 대한 평가결과들에 대해서 만족하는 정도를 퍼지집합으로 나타내고 평가 항목에 대한 중요도를 ${\lambda}$-퍼지측도의 성질을 만족하도록 설정하고, 평가항목별 만족정도를 Sugeno 퍼지적분을 이용하여 결합하는 방법을 사용한다.

Keywords

References

  1. H.-J. Zimmermann, Fuzzy Set Theory and its Applications, Kluwer-Nijhoff Publishing, 364p., 1985
  2. K. M. Lee, H. Lee-Kwang, Information Aggregating Networks based on Extended Sugeno's Fuzzy Integral, LNCS 1011, pp.56-66, 1995 https://doi.org/10.1007/3-540-60607-6_5
  3. A. Abdul-Rahman, S. Hailes, Supporting Trust in Virtual Communities, Proc. of the Hawaii Int. Canf. on System Sciences, Jan.4-7, 2000, Maui Hawaii https://doi.org/10.1109/HICSS.2000.926814
  4. F. Azzedin, M. Maheswaran, Trust Modeling for Peer-to-Peer based Computing Systems, Proc. of the Int. Parallel and Distributed Processing Symposium, 2003 https://doi.org/10.1109/IPDPS.2003.1213203
  5. U. Hengartner, P. Steenkiste, Implementing Access Control to People Location Information, Proc. of SACMAT'04, (Jun.2-4, 2004. New York)
  6. D. Gambetta, Can We Trust Trust? In Trust: Making and Breaking Cooperative Relations, (Gambetta. D (ed.)), Basil Blackwell. Oxford, 1990
  7. D. H. McKnight, N.L. Chervany, The Meanings of Trust, Technical Report 94-04, Carlson School of Manangement, University of Minnesota, 1996
  8. G. Derbas, A. Kayssi, H. artial, A. Cherhab, TRUMMAR - A Trust Model for Mobile Agent Systems Based on Reputation, Proc. of ICPS2004, IEEE, 2004 https://doi.org/10.1109/PERSER.2004.1356779
  9. J. Shi, G. v. Bochmann, C. Adams, A Trust Model with Statistical Foundation, In FAST'04, Academic Press, 2004
  10. Y. Wang, J. Vassileva, Bayesian Network Trust Model in Peer-to-Peer Network, Proc. of WI'03, IEEE, 2003 https://doi.org/10.1109/WI.2003.1241218
  11. S. P. Marsh, Formalising Trust as a COmputational Concept. Ph.D. dissertation, University of Stirling, 1994
  12. V. Cahill, E. Gray, J-M. Seigneur, et al., Using Trust for Secure Collaboration in Uncertain Environment, Pervasive Computing, pp.52-61, 2003, July-Sept
  13. A. Josang, R. Ismail, C. Boyd, A Survey of Trust and Reputation Systems for Online Service Provision, Decision Support Systems, 2006 https://doi.org/10.1016/j.dss.2005.05.019
  14. L. Xiong, L. Liu, Building Trust in Decentralized Peer-to-Peer Elecronic Commerce, Proc. of Int. Conf. on Electronic Commerce Research, 2005