Journal
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Volume 38, Issue 1, Pages 779-793Publisher
IOS PRESS
DOI: 10.3233/JIFS-179448
Keywords
Hesitant fuzzy set; generalized trapezoidal hesitant fuzzy number; distance measures; TOPSIS method; multiple attribute decision making; robot selection
Categories
Ask authors/readers for more resources
Selecting an appropriate robot among the alternative robots is a difficult problem for decision makers, since it is complicated to express attributes as crisp numbers in multiple attribute decision making problems. Generalized trapezoidal hesitant fuzzy numbers(GTHF-numbers) can be efficiently used to estimate information in the decision making process. This paper proposes an advanced type of TOPSIS (Technique for order preference by similarity to ideal solution) method, called TOPSIS method of GTHF-numbers. To do this, we introduce some novel distance measures including Hamming distance measure, Euclidean distance measure, lambda-generalized distance measure, lambda-generalized Hausdorff distance measure, gamma-hybrid Hamming distance, hybrid Euclidean distance and lambda-generalized hybrid distance measure on GTHF-numbers. Then, we develop a novel TOPSIS method of GTHF-numbers based on introduced distance measures. Finally, we provide a real example, for an auto company which desires to select a suitable robot for its production process, based on the proposed TOPSIS method of GTHF-numbers to prove the efficiency and the applicability of the proposed method.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available