A method for 2-tuple linguistic dynamic multiple attribute decision making with entropy weight

Article type: Research Article

Authors: Liu, Yong

Affiliations: School of Architecture, Chang'an University, Xi'an, Shaanxi, China

Note: [] Corresponding author. Yong Liu, School of Architecture, Chang'an University, Xi'an, Shaanxi 710061, China. Tel./Fax: +86 13991181083; E-mail: [email protected]

Abstract: In this paper, we investigate the 2-tuple linguistic dynamic multiple attribute decision making problems with entropy weight. In order to aggregate dynamic 2-tuple linguistic information, some new dynamic Einstein aggregation operators are proposed: the dynamic 2-tuple Einstein weighted averaging (D2TEWA) operator and dynamic 2-tuple Einstein weighted geometric (D2TEWG) operator. Furthermore, some procedures based on the D2TEWA (D2TEWG) operators and 2TWA (2TWG) operators are developed to solve the 2-tuple linguistic dynamic multiple attribute decision making problems with entropy weight. Finally, an illustrative example for evaluating the project's risk is given to verify the developed approach.

Keywords: Dynamic multiple attribute decision making, 2-tuple linguistic information, dynamic 2-tuple Einstein weighted averaging (D2TEWA) operator, dynamic 2-tuple Einstein weighted geometric (D2TEWG) operator, project's risk

DOI: 10.3233/IFS-141147

Journal: Journal of Intelligent & Fuzzy Systems, vol. 27, no. 4, pp. 1803-1810, 2014