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Adaptive consensus support model for group decision making systems
Authors:Shyi-Ming Chen  Li-Wei Lee  Szu-Wei Yang  Tian-Wei Sheu
Affiliation:1. Hebei Key Laboratory of Machine Learning and Computational Intelligence, College of Mathematics and Information Science, Hebei University, Baoding 071002, China;2. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan;3. Intelligent Computing and Financial Security Laboratory, School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China;1. School of Economics & Management, Nanjing University of Science and Technology, Nanjing 210094, China;2. Business School, Hohai University, Nanjing 211100, China;1. Department of Computer Science and Information Management, Soochow University, Taipei 100, Taiwan, ROC;2. Department of Information Management, National Central University, Chung-Li 320, Taiwan, ROC
Abstract:In this paper, we present an adaptive consensus support model for group decision making systems based on intervals of linguistic 2-tuples. The proposed method has the following advantages: (1) the evaluating values can either be represented by linguistic terms or intervals of linguistic terms, (2) if the required consensus degree is too high, then the proposed adaptive consensus support model can modify experts’ preferences to improve convergence toward a higher consensus degree or a sufficient agreement for group decision making and (3) the proposed method is an interactive method, where each expert can modify the adjustments made by the system during the consensus reaching process if he/she does not agree with the adjustments made by the system. The proposed adaptive consensus support model can overcome the drawback of Mata et al.’s method (2009). It provides us with a useful way for adaptive consensus support for group decision making based on intervals of linguistic 2-tuples.
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