Paper Info
Title
Generalized interval-valued trapezoidal fuzzy best-worst multiple criteria decision-making method with applications.
Abstract
Best-worst method (BWM) extended to uncertain situations, generalized interval-valued trapezoidal fuzzy best-worst method (GITrFBWM) is proposed by using generalized interval-valued trapezoidal fuzzy multiplicative preference relation for multiple criteria group decision-making problems. The reference comparison of the best criterion and the worst criterion are described by the linguistic terms, which are expressed in generalized interval-valued trapezoidal fuzzy numbers, of the decision-makers. Weights of criteria are calculated by using graded mean integration representation method. Using the concept of BWM, nonlinearly constrained optimization problems are formed to obtain generalized interval-valued trapezoidal fuzzy weights of different criteria and alternatives. To check the reliability of the GITrFBWM, consistency ratio is proposed. The advantage and suitability of the proposed GITrFBWM are determined by three case studies. The results indicate that the GITrFBWM, due to higher comparison consistency as compared to BWM and fuzzy-best worst method, obtain plausible preference ranking for alternatives.
Year
DOI
Venue
2020
10.3233/JIFS-182932
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
DocType
Volume
Generalized interval-valued trapezoidal fuzzy best worst method,Generalized interval-valued trapezoidal fuzzy numbers,Generalized interval-valued trapezoidal fuzzy reference comparison,Consistency ratio,Multiple criteria decision-making
Journal
38
Issue
ISSN
Citations 
SP2.0
1064-1246
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Asif Ali141.40
Tabasam Rashid225519.40