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A novel aggregation method for Pythagorean fuzzy multiple attribute group decision making

As an extension of fuzzy set, a Pythagorean fuzzy set has recently been developed to model imprecise and ambiguous information in practical group decision-making problems. The aim of this paper is to introduce a novel aggregation method for the Pythagorean fuzzy set and analyze possibilities for its application in solving multiple attribute decision-making problems. More specifically, a new Pythagorean fuzzy aggregation operator called the Pythagorean fuzzy induced ordered weighted averaging-weighted average (PFIOWAWA) operator is developed. This operator inherits main characteristics of both ordered weighted average operator and induced ordered weighted average to aggregate the Pythagorean fuzzy information. Some of main properties and particular cases of the PFIOWAWA operator are studied. A method based on the proposed operator for multiple attribute group decision making is developed. Finally, we present a numerical example of selection of research and development projects to illustrate applicability of the new approach in a multiple attribute group decision-making problem.


KEYWORDS: induced ordered weighted average operator; Pythagorean fuzzy set; multiattribute group decision making; ordered weighted average operator.


Zeng, S.; Mu, Z.; Baležentis, T. 2018. A novel aggregation method for Pythagorean fuzzy multiple attribute group decision making, In International Journal of Intelligent Systems  33(3): 573–585. https://doi.org/10.1002/int.21953 Online ISSN: 1098-111X [Journal Citation Reports/Social Sciences Edition (Thomson Reuters);  Wiley Online Library; PubMed].


Impact Factor: 2.929

ISI Journal Citation Reports © Ranking: 2016: 32/133 (Computer Science Artificial Intelligence)


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