A discrete consensus support model for multiple attribute group decision making |
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| Authors: | Jiuping Xu Zhibin Wu |
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| Affiliation: | 1. Business School, Sichuan University, Chengdu 610065, China;2. Department of Computer Science, University of Jaén, Jaén, Spain;3. Department of Computer Science and Artificial Intelligence, University of Granada, Granada 18071, Spain;4. Faculty of Computing and Information Technology, King Abdulaziz University, North Jeddah, Saudi Arabia;1. School of Management, Xi’an Jiaotong University, Xi’an 710049, China;2. School of Management, Jiangsu University, Zhenjiang 212013, China;3. China Institute of Regulation Research, Zhejiang University of Finance & Economics, Hangzhou 310018, China |
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| Abstract: | In multiple attribute group decision making (MAGDM), it is preferable that the set of experts reach a high degree of consensus amongst their opinions before applying a selection process. In this paper, we present a discrete model to support the consensus reaching process for MAGDM problems. Firstly, a consensus scheme for a set of arguments is provided, where the basic idea is to tighten the range of opinions amongst experts. Based on the well-defined scheme, a convergent algorithm is presented to autocratically guide experts to reach a predefined consensus level. In the selection process, the maximizing deviation method is applied to determine the attribute weights. Then, the choice of the best alternative(s) from the group decision matrix is obtained by the simple additive weighting method. Finally, one example is presented to show the application and effectiveness of the proposed model. |
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