Paper Info
Title
Best-Worst Method For Robot Selection
Abstract
For different applications, there are different robots having capabilities and specifications accordingly. For a particular application and industrial requirement, proper and suitable selection of robot is a difficult task. Numerous robot selection methods are available. Considering the research works on industrial robot selection, group best-worst method is employed in this paper for the proper selection of robots. Weighing the decision makers by considering their past experience is an important factor considered for expert and reliable selection of robot. Objective weights to describe the importance of the attributes along with the decision maker subjective preferences to describe the weights of the attribute are considered. Two problems are discussed for a detailed description and results are compared with the well-known group analytical hierarchy process method. The results show that due to lower minimum violation and lower total deviation, the proposed method performs better.
Year
DOI
Venue
2021
10.1007/s00500-020-05169-z
SOFT COMPUTING
Keywords
DocType
Volume
Group best-worst method (G-BWM), Group analytic hierarchy process (G-AHP), Multiple attribute group decision making, Subjective weights, Objective weights, integrated weights
Journal
25
Issue
ISSN
Citations 
1
1432-7643
1
PageRank 
References 
Authors
0.35
0
2
Name
Order
Citations
PageRank
Asif Ali141.40
Tabasam Rashid225519.40