Interval-Valued Picture Fuzzy Maclaurin Symmetric Mean Operator with application in Multiple Attribute Decision-Making

نویسندگان

چکیده

A lot of fuzzy models have been planned and researched to review the information under uncertainty ambiguity. Among these, model interval-valued picture set (IVPFS) is very important which can explain by four possibilities in opinion experts using a membership degree (MD), non-membership (NMD), abstinence (AD), refusal (RD) form intervals. The gathering data difficult all time, particularly when difference opinions connected. This article aims explore idea Maclaurin symmetric mean (MSM) operator framework IVPFS. In this article, we studied MSM IVPFSs discussed their application picking most suitable company benefit plan (CBP) (IVPF) data. proposed operators IVPF (IVPFMSM), weighted (IVPFWMSM), dual (IVPFDMSM), (IVPFDWMSM) are found trustworthy with basic properties. Finally, show method's importance significance, numerical example has provided results compared some existing operators.

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ژورنال

عنوان ژورنال: Reports in Mechanical Engineering

سال: 2022

ISSN: ['2683-5894']

DOI: https://doi.org/10.31181/rme20020042022a