On Subjective Trust Management

• Autorzy: Majdan M.
• Języki publikacji: EN

Abstrakty

EN

Trust and reputation management is gaining nowadays more attention then ever as online commodity exchange and other open virtual societies became a widespread reality. Most widely used computational models use reputation metrics as global property assigned to each party. More sophisticated models try to use reputation as subjective property. While introducing subjective reputation there arise a need to model preferences of agents. In this paper we propose to use weighted ordered weighted average (WOWA) operator to support the decision maker in assessing available evidence about other's party behavior. The WOWA aggregation is defined by two weighting vectors: the preferential weights assigned to the ordered quantities and the importance weights assigned to several attributes. It allows one to express both the preference regarding sources of information by the corresponding importance weights and the compensation between attribute values aggregated by the preferential weights.

Słowa kluczowe

EN

decision support; management concepts; multicriteria reputation model

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2008
• Tom: nr 4
• Strony: 26--31
• Opis fizyczny: Bibliogr. 9 poz.

Twórcy

autor

Majdan M.

• Warsaw University of Technology, Nowowiejska st 15/19, 00-665 Warsaw, National Institute of Telecommunications, Szachowa st 1, 04-894 Warsaw, Poland,

Bibliografia

• [1] D. Gambetta, “Can we trust trust”, in Trust: Making and Breaking Cooperative Relations. Oxford: Basil Blackwell, 1988, pp. 213–237.
• [2] I. Pinyol and J. Sabater-Mir, “Arguing about reputation the lrep language”, in Eighth Ann. Int. Worksh. Eng. Soc. Agents World ESAW’07, Athens, Greece, 2007, pp. 192–207.
• [3] S. D. Kamvar, M. T. Schlosser, and H. Garcia-Molina, “The eigentrust algorithm for reputation management in p2p networks”, in Proceedings of the 12th International Conference on World Wide Web WWW’03. New York: ACM, 2003, pp. 640–651.
• [4] M. Schillo, M. Rovatsos, and P. Funk, “Using trust for detecting deceitful agents in artificial societites”, Appl. Artif. Intel. J., vol. 14, no. 8, pp. 825–848, 2000.
• [5] R. R. Yager, “On ordered weighted averaging aggregation operators in multicriteria decision making”, IEEE Trans. Syst. Man Cybern., vol. 18, no. 1, pp. 183–190, 1988.
• [6] R. Aringhieri, E. Damiani, S. De Capitani Di Vimercati, S. Paraboschi, and P. Samarati, “Fuzzy techniques for trust and reputation management in anonymous peer-to-peer systems”, J. Amer. Soc. Inform. Sci. Technol., vol. 57, pp. 528–537, 2006.
• [7] J. Sabater-Mir and M. Paolucci, “On representation and aggregation of social evaluations in computational trust and reputation models”, Int. J. Appr. Reas., vol. 46, no. 3, pp. 458–483, 2007.
• [8] V. Torra, “The weighted OWA operator”, Int. J. Intel. Syst., vol. 12, pp. 153–166, 1997.
• [9] W. Ogryczak and T. Śliwiński, “On optimization of the importance weighted OWA aggregation of multiple criteria”, in International Conference Computational Science and Its Applications ICCSA 2007. LNCS, vol. 4705. Heidelberg: Springer, 2007, pp. 804–817.