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Article type: Research Article
Authors: Zhang, Zhihui | Wei, Fajie | Zhou, Shenghan
Affiliations: School of Economics and Management, Beihang University, Beijing, China | School of Reliability and System Engineering, Beihang University, Beijing, China
Note: [] Corresponding author. Shenghan Zhou, School of Reliability and System Engineering, Beihang University, Beijing 100191, China. Tel./Fax: +86 10 82316003; E-mail: [email protected]
Abstract: The paper investigates the comprehensive evaluation problems with 2-tuple linguistic information. The study develops 2-tuple linguistic Maclaurin symmetric mean (2TLMSM) operator by improving Maclaurin symmetric mean (MSM) operator. The paper studies its properties and discusses its special cases. For the situations where the input arguments have different importance, the 2-tuple linguistic weighted Maclaurin symmetric mean (2TLWMSM) operator is defined based on the procedure which is developed for comprehensive evaluation problems under the 2-tuple linguistic environments. Finally, a practical example for evaluating the financial management performance is given to verify the developed approach and to demonstrate its practicality and effectiveness.
Keywords: Comprehensive evaluation, linguistic information, Maclaurin symmetric mean (MSM) operator, 2-tuple linguistic Maclaurin symmetric mean (2TLMSM) operator, 2-tuple linguistic weighted Maclaurin symmetric mean (2TLWMSM) operator
DOI: 10.3233/IFS-141323
Journal: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 469-475, 2015
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