Journal
COMPUTERS & INDUSTRIAL ENGINEERING
Volume 64, Issue 4, Pages 999-1008Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2013.01.009
Keywords
Group decision making; Uncertain linguistic preference relation; Linguistic variable; Consensus; 2-Tuple representation model
Funding
- National Natural Science Foundation of China [70831005]
- NSFC [71011140076]
- Chinese Universities Scientific Fund [2010SCU22009, 2012SCU11086]
- Sichuan University
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In alternative selection problems managed by multiple experts in uncertain situations achieving consensus is a desirable objective as incorrect selection may adversely affect stakeholder outcomes. This paper develops an approach to solve consensus problems when expert preference information is in the form of uncertain linguistic preference relations. First, definitions for aggregation operators and group consensus level based on a 2-tuple linguistic representation model are provided. Then, in order to obtain the weights of the experts under the assumption of incomplete weights information, an optimization model is developed which seeks maximum consensus from the current expert preferences in the group. If the consensus level reached does not meet predefined requirements, a consensus reaching algorithm is presented which can automatically achieve the goal. To determine the parameters for the proposed algorithm, a simulation procedure is presented. Finally, an investment company optimal selection example is provided to show the properties of the proposed approach. A comparative study and discussion of the proposed approach are also conducted. (C) 2013 Elsevier Ltd. All rights reserved.
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