Open AccessResearch on Supplier Evaluation in a Green Supply Chain
Author(s) -
Qiang Hou,
Lei Xie
Publication year - 2019
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2019/2601301
Subject(s) - closeness , topsis , supplier evaluation , computer science , supply chain , euclidean distance , construct (python library) , rank (graph theory) , selection (genetic algorithm) , supply chain management , degree (music) , operations research , fuzzy logic , basis (linear algebra) , mathematical optimization , data mining , mathematics , business , artificial intelligence , marketing , mathematical analysis , physics , geometry , combinatorics , acoustics , programming language
The supplier is considered to be attractive under green supply chain management; supplier evaluation is also confronted with a serious challenge. Based on this background, this paper studies green supplier evaluation and selection with weights unknown in hesitant fuzzy sets and presents evaluation indexes by the DEMATEL method. On the basis of the Euclidean distance, hesitancy degree is used to construct the improved type signed distance. At last, the paper calculates relative closeness to rank green suppliers by the improved TOPSIS method and compares the results of the traditional algorithm and SAW method. The result of the example shows that the algorithm has practicability and a dipartite degree.