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Extension of TODIM for decision making in fuzzy environment: a case empirical research on selection of industrial robot

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  • Dilip Kumar Sen
  • Saurav Datta
  • Siba Sankar Mahapatra

Abstract

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.

Suggested Citation

  • Dilip Kumar Sen & Saurav Datta & Siba Sankar Mahapatra, 2017. "Extension of TODIM for decision making in fuzzy environment: a case empirical research on selection of industrial robot," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 26(2), pages 238-276.
    • Handle: RePEc:ids:ijsoma:v:26:y:2017:i:2:p:238-276
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    Cited by:

    1. Dongsheng Xu & Xiaolan Wei & Hui Ding & Hongqiong Bin, 2020. "A New Method Based on PROMETHEE and TODIM for Multi-Attribute Decision-Making with Single-Valued Neutrosophic Sets," Mathematics, MDPI, vol. 8(10), pages 1-12, October.

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