Title: Pythagorean Fuzzy Maclaurin Symmetric Mean Operators in Multiple Attribute Decision Making
Abstract: International Journal of Intelligent SystemsVolume 33, Issue 5 p. 1043-1070 Research Article Pythagorean Fuzzy Maclaurin Symmetric Mean Operators in Multiple Attribute Decision Making Guiwu Wei, Corresponding Author Guiwu Wei [email protected] School of Business, Sichuan Normal University, Chengdu, 610101 People's Republic of ChinaAuthor to whom all correspondence should be addressed; e-mail: [email protected] for more papers by this authorMao Lu, Mao Lu School of Business, Sichuan Normal University, Chengdu, 610101 People's Republic of ChinaSearch for more papers by this author Guiwu Wei, Corresponding Author Guiwu Wei [email protected] School of Business, Sichuan Normal University, Chengdu, 610101 People's Republic of ChinaAuthor to whom all correspondence should be addressed; e-mail: [email protected] for more papers by this authorMao Lu, Mao Lu School of Business, Sichuan Normal University, Chengdu, 610101 People's Republic of ChinaSearch for more papers by this author First published: 27 June 2017 https://doi.org/10.1002/int.21911Citations: 183Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract 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. Citing Literature Volume33, Issue5May 2018Pages 1043-1070 RelatedInformation