School of Management Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China
Junior College, Zhejiang Wanli University, Ningbo 315100, China
Int J Environ Res Public Health. 2017 Nov 24;14(12):1451. doi: 10.3390/ijerph14121451.
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.
本文的主要重点是研究直觉模糊环境下的多属性决策方法（MADM），基于诱导聚合算子，并分析其在低碳供应商选择中的应用可能性。更具体地说，引入了一种新的聚合算子，称为直觉模糊加权诱导有序加权平均算子（ILWIOWA），以方便处理直觉模糊信息。探讨了其一些理想的性质。进一步推广了 ILWIOWA，称为直觉模糊广义加权诱导有序加权平均算子（ILGWIOWA）。此外，通过运用所提出的算子，提出了一种基于直觉模糊信息的 MADM 方法。最后，通过一个低碳供应商选择的实例和对比分析，验证了所提出方法的有效性和实用性。
