Journal
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
Volume 33, Issue 5, Pages 1043-1070Publisher
WILEY
DOI: 10.1002/int.21911
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Funding
- Humanities and Social Sciences Foundation of Ministry of Education of the People's Republic of China [14XJCZH002, 15YJCZH138]
- National Natural Science Foundation of China [71571128, 61174149]
- construction plan of scientific research innovation team for colleges and universities in the Sichuan province [15TD0004]
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The Maclaurin symmetric mean (MSM) operator is a classical mean type aggregation operator used in modern information fusion theory, which is suitable to aggregate numerical values. The prominent characteristic of the MSM operator is that it can capture the interrelationship among the multiinput arguments. In this paper, we extend MSM to Pythagorean fuzzy environment to propose the Pythagorean fuzzy Maclaurin symmetric mean and Pythagorean fuzzy weighted Maclaurin symmetric mean operators. Then, some desirable properties and special cases of these operators are discussed in detail. Finally, a numerical example is provided to illustrate the feasibility of the proposed methods and deliver a comparative analysis. (C) 2017 Wiley Periodicals, Inc.
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