Paper Info
Title
Supplier selection using a clustering method based on a new distance for interval type-2 fuzzy sets: A case study.
Abstract
•We introduce a suitable distance formula for interval type-2 fuzzy sets, which is compared with the Hamming distance, Euclidean distance, Hamming distance based on Hausdorff metric and signed distance.•Based on the proposed distance formula, we propose a hierarchical clustering-based method to solve a supplier selection problem and find the proximity of the suppliers.•To illustrate the applicability of the proposed method, two examples are illustrated. The first example is a case study in supplier selection problem. The next one is an example taken from the literature. Then, to test the hierarchical clustering-based method and compare the obtained results by two other methods, a comparative study using experimental analysis was designed.•The novelties of our work are in both theory and application. We propose a new distance formula for interval type-2 fuzzy sets. Based on the proposed distance formula, we propose a new clustering method to solve a supplier selection problem and finally to illustrate the applicability of the proposed method, a case study is used.
Year
DOI
Venue
2016
10.1016/j.asoc.2015.09.029
Applied Soft Computing
Keywords
Field
DocType
Interval type-2 fuzzy sets,Distance measure,Supplier selection,Hierarchical clustering
Hierarchical clustering,Fuzzy clustering,Mathematical optimization,Signed distance function,Euclidean distance,Fuzzy set,Hamming distance,Artificial intelligence,Hausdorff distance,Cluster analysis,Machine learning,Mathematics
Journal
Volume
Issue
ISSN
38
C
1568-4946
Citations 
PageRank 
References 
0
0.34
29
Authors
3
Name
Order
Citations
PageRank
Armaghan Heidarzade1835.16
Iraj Mahdavi238832.30
Nezam Mahdavi-amiri337139.95