Green supplier selection in steel industry with intuitionistic fuzzy Taxonomy method

Abstract

Since people around the world have gradually attached importance to resource conservation, various countries are actively taking measures to promote environmental protection and sustainable development. Green supply chain management (GSCM) have emerged in this context. Thus, in this essay, a novel intuitionistic fuzzy multiple attribute group decision making (MAGDM) method is designed to tackle this issue. First of all, CRITIC (Criteria Importance Through Inter-criteria Correlation) method is utilized to determine the weights of criteria. Later, the conventional Taxonomy method is extended to the intuitionistic fuzzy environment to compute the value of development attribute of each supplier. Then, the optimal one can be determined. Eventually, an application about green supplier selection in steel industry is presented, and a comparative analysis is made to demonstrate the superiority of the proposed method. The main features of the proposed algorithm are that they provide a practical solution for selecting GSCM and presents an objective weighting method to enhance the effectiveness of the algorithm.

Graphical Structures of Cubic Intuitionistic Fuzzy Information

“…Interval-valued FGs have also been studied extensively after Akram [43] proposed interval-valued FGs, Rashmanlou and Pal [44] discussed the results proposed by [43], complete interval-valued FGs developed interval-valued fuzzy line graphs are discussed by Rashmanlou and Pal [45,46], and Pramanik et al [47] proposed balanced interval-valued FGs. Xiao et al [48] worked on green supplier selection in steel industry with intuitionistic fuzzy Taxonomy method, Zhao et al [49] proposed an extended CPT-TODIM method for IVIF MAGDM and applied it to urban ecological risk assessment, and Wu et al [50] presented VIKOR method for financing risk assessment of rural tourism under IVIF environment. Further, for some works on interval-valued FGs, one may refer to [51][52][53][54][55].…”

CPT-Todim Method for Interval-Valued Bipolar Fuzzy Multiple Attribute Group Decision Making and Application to Industrial Control Security Service Provider Selection

“…Atanassov (1986) proposes intuitionistic fuzzy set (IFS) and further proposes interval-valued intuitionistic fuzzy set (IVIFS). Xiao et al (2020) defined the intuitionistic fuzzy Taxonomy method. Both IFS and IVIFS use membership degree, non-membership degree and hesitancy degree to describe the recognition degree of an object to a certain property.…”

A Hybrid MADM Model for Newly Graduated Nurse’s Competence Evaluation and Improvement

“…This study does not consider the uncertainty (i.e., fuzzy phenomenon) between competencies in the clinical nursing environment. Future research models might use various other theories and methods (such as intuitionistic fuzzy theory [ 65 ], 2-tuple linguistic model [ 66 ], and a gray system [ 67 ]) to establish decision-making models that have more technical and practical value for newly graduated nurses.…”