Intuitionistic Linguistic Multiple Attribute Decision-Making with Induced Aggregation Operator and Its Application to Low Carbon Supplier Selection

Jun Liu, Xianbin Wu, Shouzhen Zeng and Tiejun Pan
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Jun Liu: School of Management Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China
Xianbin Wu: Junior College, Zhejiang Wanli University, Ningbo 315100, China
Shouzhen Zeng: School of Business, Ningbo University, Ningbo 315211, China
Tiejun Pan: School of Information, Ningbo Dahongying University, Ningbo 315211, China

IJERPH, 2017, vol. 14, issue 12, 1-12

Abstract: The main focus of this paper is to investigate the multiple attribute decision making (MADM) method under intuitionistic linguistic (IL) environment, based on induced aggregation operators and analyze possibilities for its application in low carbon supplier selection. More specifically, a new aggregation operator, called intuitionistic linguistic weighted induced ordered weighted averaging (ILWIOWA), is introduced to facilitate the IL information. Some of its desired properties are explored. A further generalization of the ILWIOWA, called intuitionistic linguistic generalized weighted induced ordered weighted averaging (ILGWIOWA), operator is developed. Furthermore, by employing the proposed operators, a MADM approach based on intuitionistic linguistic information is presented. Finally, an illustrative example concerning low carbon supplier selection and comparative analyses are conducted to demonstrate the effectiveness and practicality of the proposed approach.

Keywords: intuitionistic linguistic set; induced aggregation operator; low carbon supplier selection; multiple attribute decision-making (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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