| Article ID: | iaor2017280 |
| Volume: | 26 |
| Issue: | 2 |
| Start Page Number: | 238 |
| End Page Number: | 276 |
| Publication Date: | Jan 2017 |
| Journal: | International Journal of Services and Operations Management |
| Authors: | Datta Saurav, Mahapatra Siba Sankar, Sen Dilip Kumar |
| Keywords: | decision, statistics: empirical, decision theory: multiple criteria, behaviour, fuzzy sets |
In order to facilitate decision making in robot selection problem, in this paper, an efficient fuzzy‐based multi‐criteria decision making (MCDM) tool has been highlighted. TODIM coupled with generalised fuzzy numbers (GFNs) set theory (fuzzy‐TODIM) has been utilised here to determine the most preferable robot among all possible candidate alternatives. The results obtained thereof, have been compared to that of existing fuzzy‐TOPSIS technique. We also propose a new formulation of fuzzy‐TODIM (F‐TODIM) by exploring the concept of similarity measure (between two fuzzy numbers) in order to compute relative gain and loss for pairs of alternatives with respect to a particular criteria. Similar ranking order of the alternative robots as obtained (in comparison with the F‐TODIM formulation based on fuzzy distance measure) exhibits that fuzzy degree of similarity can fruitfully be utilised to evaluate dominance between two alternatives.