Some q-Rung orthopair fuzzy dual Maclaurin symmetric mean operators with their application to multiple criteria decision making

Wang, J., Zhang, R., Li, L., Shang, X., Li, W. ORCID: https://orcid.org/0000-0003-2878-3185 and Xu, Y. (2018) Some q-Rung orthopair fuzzy dual Maclaurin symmetric mean operators with their application to multiple criteria decision making. In: Knowledge and Systems Sciences 19th International Symposium, November 25-27 2018, Tokyo, Japan, pp. 252-266. doi: 10.1007/978-981-13-3149-7_19

Abstract/Summary

This paper investigates multiple criteria decision making (MCDM) with q-rung orthopair fuzzy information. Recently, some aggregation operators have been developed for q-rung orthopair fuzzy sets (q-ROFSs). However, the main flaw of these operators is that they fail to capture the interrelationship among multiple input arguments. The dual Maclaurin symmetric mean (DMSM) is an efficient aggregation function which can reflect the interrelationship among multiple input variables. Motivated by the dual Maclaurin symmetric mean (DMSM), we extend DMSM to q-ROFSs and propose some q-rung orthopair fuzzy dual Maclaurin symmetric mean operators. We also investigate the properties and special cases of these operators. Further, a novel approach to multiple criteria decision making (MCDM) is introduced. We apply the proposed method in a best paper selection problem to demonstrate its effectiveness and advantages.

Item Type	Conference or Workshop Item (Paper)
URI	https://reading-clone.eprints-hosting.org/id/eprint/90546
Item Type	Conference or Workshop Item
Refereed	Yes
Divisions	Henley Business School > Digitalisation, Marketing and Entrepreneurship
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