New Pythagorean Fuzzy Interaction Maclaurin Symmetric Mean Operators and Their Application in Multiple Attribute Decision Making | Zendy

Wei Yang | Zendy; Yongfeng Pang | Zendy

Open Access

New Pythagorean Fuzzy Interaction Maclaurin Symmetric Mean Operators and Their Application in Multiple Attribute Decision Making

Author(s) -

Wei Yang,

Yongfeng Pang

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2856270

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

The aim of this paper is to develop some Pythagorean fuzzy interaction operators by considering interaction between membership and non-membership. The generalized Pythagorean fuzzy interaction weighted averaging operator and the generalized Pythagorean fuzzy interaction weighted geometric averaging operator have been developed first. By using the Maclaurin symmetric mean operator, the Pythagorean fuzzy interaction Maclaurin symmetric mean (PFIMSM) operator and the Pythagorean fuzzy interaction weighted Maclaurin symmetric mean (PFIWMSM) operator have been developed. Some special cases of the new aggregation operators have been studied. A new multiple attribute decision-making method based on the PFIMSM operator and the PFIWMSM operator has been developed. Numerical example has been presented to illustrate the proposed method, and comparison analysis has been conducted to demonstrate the applicability of the new method.

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