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Issue title: Special Section: Ambient advancements in intelligent computational sciences
Guest editors: Shailesh Tiwari, Munesh Trivedi and Mohan L. Kohle
Article type: Research Article
Authors: Zhu, Lei | Liang, Xuefei; * | Wang, Lei; * | Wu, Xingrong
Affiliations: College of Communications Engineering, Army Engineering University of PLA, Nanjing, China
Correspondence: [*] Corresponding author. Xuefei Liang and Lei Wang, College of Communications Engineering, Army Engineering University of PLA, Nanjing, China. Tel.: +86 18362973763; E-mail: 294200457@qq.com (Xuefei Liang); Tel.: +86 18052099993 E-mail iponly@126.com (Lei Wang).
Abstract: Pythagorean fuzzy sets, which is based on intuitionistic fuzzy sets (IFSs), is an important tool to solve problems and has attracted a large number of researchers in different fields. As we know, studies have focused on interval-valued Pythagorean fuzzy set and aggregated operators. However, few studies focus on point operators. This paper introduces and discusses what is the pythagorean fuzzy point operators, study their properties and relationships, which is seen as the extensions of intuitionistic fuzzy sets. The uncertainty regarding to Pythagorean fuzzy set could be decreased if we use the pythagorean fuzzy point operators. In the end, pythagorean fuzzy multi-attributes decision making based on analytic hierarchy procedure is put forward to cope with the complicated MADM (multi-attributes decision making) issues which can be very useful when we face the multi-level analysis.
Keywords: Point operators, multi-criteria decision making, pythagorean fuzzy set, analytic hierarchy process
DOI: 10.3233/JIFS-169683
Journal: Journal of Intelligent & Fuzzy Systems, vol. 35, no. 2, pp. 1407-1418, 2018
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