期刊
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
卷 31, 期 12, 页码 1198-1219出版社
WILEY-BLACKWELL
DOI: 10.1002/int.21823
关键词
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资金
- AMEP (DYSP) of Linyi University [LYDX2014BS017]
- Natural Science Foundation of Shandong Province [ZR2013FL006]
- National Natural Science Foundation of China [71571123, 61273209]
- Central University Basic Scientific Research Business Expenses Project [skgt201501]
Pythagorean fuzzy sets (PFSs), originally proposed by Yager, are a new tool to deal with vagueness with the square sum of the membership degree and the nonmembership degree equal to or less than 1, which have much stronger ability than Atanassov's intuitionistic fuzzy sets to model such uncertainty. In this paper, we modify the existing score function and accuracy function for Pythagorean fuzzy number to make it conform to PFSs. Associated with the given operational laws, we define some novel Pythagorean fuzzy weighted geometric/averaging operators for Pythagorean fuzzy information, which can neutrally treat the membership degree and the nonmembership degree, and investigate the relationships among these operators and those existing ones. At length, a practical example is provided to illustrate the developed operators and to make a comparative analysis. (C) 2016 Wiley Periodicals, Inc.
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