An Intuitionistic Fuzzy Group Decision-Making to Measure the Performance of Green Supply Chain Management with TOPSIS Method

Abstract

Green supply chain management (GSCM) integrates environmental regulations into supply chain management to diminish the negative effects of supply chain processes on the environment. The environmental problems appeared by an enterprise arise from designing the product and last until the recycling process. GSCM activities include five drivers such as green design, green purchasing, green transformation, green logistics and reverse logistics. In this chapter, the main aim is to explain these drivers and to show how to measure the GSCM success of companies, which operate as tire manufacturers by using an evaluation of a group of experts in their field. The proposed method, intuitionistic fuzzy technique for order preference by similarity to an ideal solution as an effective group decision-making method, helped to identify the alternative company 1 with the best GSCM performance among six different alternative tire companies under the consideration of five important GSCM drivers. The ranking result was as follows: A1 > A3 > A4 > A2 > A6 > A5.

Group decision‐making based on pythagorean fuzzy TOPSIS method

“…Atanassov considered the human hesitancy and generalized the fuzzy sets to intuitionistic fuzzy sets (IFSs), which assigns a membership grade and a nonmembership grade to the objects under consideration, with the condition and the nonzero hesitancy part . Since its discovery, the IFSs have gained extensive attentions in extending the classical TOPSIS model in the IFS context along with its extensions and have been extensively applied in different areas of real world having MCDM problems …”

“…Since its discovery, the IFSs have gained extensive attentions in extending the classical TOPSIS model in the IFS context along with its extensions and have been extensively applied in different areas of real world having MCDM problems. [13][14][15][16][17][18] The restriction ≤ μ λ + 1 in IFS confines the selection of the membership and nonmembership grades. To evade the issue, Yager and colleague 19,20 discovered the notion of Pythagorean fuzzy set (PFS), represented by a membership function μ and a nonmembership function λ with the condition ≤ μ λ + 1 2 2 .…”

Decision Making Methods for Evaluation of Efficiency of General Insurance Companies in Malaysia: A Comparative Study

“…In TOPSIS, the optimal alternative should have the shortest distance from the positive ideal alternative and the farthest distance from the negative ideal solution. Bulgurcu [26] proposed a TOPSIS based group decision making method to identify the company with the best green supply chain management among six different tyre companies. Five criteria were considered namely green design, green transformation, green purchasing, green logistics and reverse logistics.…”