Intuitionistic Linguistic Multiple Attribute Decision-Making with Induced Aggregation Operator and Its Application to Low Carbon Supplier Selection
Jun Liu 1
School of Management Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China
2
Junior College, Zhejiang Wanli University, Ningbo 315100, China
3
School of Business, Ningbo University, Ningbo 315211, China
4
School of Information, Ningbo Dahongying University, Ningbo 315211, China
*
Authors to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2017, 14(12), 1451; https://doi.org/10.3390/ijerph14121451
Received: 15 October 2017 / Revised: 21 November 2017 / Accepted: 22 November 2017 / Published: 24 November 2017
(This article belongs to the Special Issue Decision Models in Green Growth and Sustainable Development)
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.
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Keywords:
intuitionistic linguistic set; induced aggregation operator; low carbon supplier selection; multiple attribute decision-making
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Liu, J.; Wu, X.; Zeng, S.; Pan, T. Intuitionistic Linguistic Multiple Attribute Decision-Making with Induced Aggregation Operator and Its Application to Low Carbon Supplier Selection. Int. J. Environ. Res. Public Health 2017, 14, 1451.
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