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The trust inference issue in a social network is defined as anticipating the trust level which a user can have to another user who is not directly connected to him in the trust network. This paper proposes a method for trust inference using soft computing. To our best knowledge, it is the first time that soft computing is used to solve the trust inference issue. One of the main advantages of the proposed method is that, unlike previous methods, it is not limited to one type of trust network, and it can also be used for trust networks with different trust values. The proposed method is applied on the standard trust network and is compared to other similar methods. Experimental results show that it is able to produce more accurate results in comparison with previous methods.
Maryam Fayyaz
Department of Computer Engineering
Islamic Azad University of Birjand, Birjand, Iran
Hamed Vahdat-Nejad
Faculty of Electrical and Computer Engineering
University of Birjand, Birjand, Iran
Mahdi Kherad
Faculty of Electrical and Computer Engineering
University of Birjand, Birjand, Iran
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