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Article type: Research Article
Authors: Wei, Guiwu* | Lu, Mao | Gao, Hui
Affiliations: School of Business, Sichuan Normal University, Chengdu 610101, Sichuan, China
Correspondence: [*] Corresponding author: Guiwu Wei, School of Business, Sichuan Normal University, Chengdu 610101, Sichuan, China. Tel./Fax: +86 28 84480714; E-mail: weiguiwu@163.com.
Abstract: The Heronian mean and generalized Heronian mean provide two aggregation operators that consider the inter-dependent phenomena among the aggregated arguments. In this paper, the Heronian mean and generalized Heronian mean under picture fuzzy environments is studied. First, the generalized picture fuzzy Heronian mean (GPFHM) operator and generalized picture fuzzy weighted Heronian mean (GPFWHM) operator are proposed and some of their desirable properties and special cases are investigated in detail. Then, an approach to multiple attribute decision making (MADM) based on GPFWHM operator is proposed. Finally, a practical example for enterprise resource planning (ERP) system selection is given to verify the developed approach and to demonstrate its practicality and effectiveness.
Keywords: Multiple attribute decision making (MADM), picture fuzzy set, generalized picture fuzzy Heronian mean (GPFHM) operator, generalized picture fuzzy weighted Heronian mean (GPFWHM) operator, enterprise resource planning (ERP) system
DOI: 10.3233/KES-180382
Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 22, no. 3, pp. 167-175, 2018
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