A consensus model for group decision making problems with linguistic interval fuzzy preference relations |
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| Authors: | JM Tapia Garc?´a MJ del Moral MA Martínez E Herrera-Viedma |
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| Affiliation: | 1. Business School, Sichuan University, Chengdu, China;2. Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain;3. Department of Computer Science, University of Jaén, Jaén, Spain;4. Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia;1. Business School, Sichuan University, Chengdu, China;2. Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain;3. Department of Computer Science, University of Jaén, Jaén, Spain;4. Faculty of Computing and Information Technology, King Abdulaziz University, North Jeddah, Saudi Arabia;5. Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia |
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| Abstract: | Sometimes, we find decision situations in which it is difficult to express some preferences by means of concrete preference degrees. In this paper, we present a consensus model for group decision making problems in which the experts use linguistic interval fuzzy preference relations to represent their preferences. This model is based on two consensus criteria, a consensus measure and a proximity measure, and on the concept of coincidence among preferences. We compute both consensus criteria in the three representation levels of a preference relation and design an automatic feedback mechanism to guide experts in the consensus reaching process. |
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