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

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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)

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.

Suggested Citation

  • Jun Liu & Xianbin Wu & Shouzhen Zeng & Tiejun Pan, 2017. "Intuitionistic Linguistic Multiple Attribute Decision-Making with Induced Aggregation Operator and Its Application to Low Carbon Supplier Selection," IJERPH, MDPI, vol. 14(12), pages 1-12, November.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:12:p:1451-:d:120271
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    Cited by:

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    2. Ji Chen & Shouzhen Zeng & Chonghui Zhang, 2018. "An OWA Distance-Based, Single-Valued Neutrosophic Linguistic TOPSIS Approach for Green Supplier Evaluation and Selection in Low-Carbon Supply Chains," IJERPH, MDPI, vol. 15(7), pages 1-15, July.
    3. Aijun Liu & Qiuyun Zhu & Xiaohui Ji & Hui Lu & Sang-Bing Tsai, 2018. "Novel Method for Perceiving Key Requirements of Customer Collaboration Low-Carbon Product Design," IJERPH, MDPI, vol. 15(7), pages 1-32, July.

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