TOPSIS based renewable-energy-source-selection using Moderator Intuitionistic Fuzzy Set

Bhagawati Prasad Joshi, Navneet Joshi, Alexander Gegov

Research output: Contribution to journalArticlepeer-review


Many criteria must be taken into account while selecting the best renewable energy source (RES), which necessitates a sophisticated multi-criteria decision-making (MCDM) procedure. Conflicting norms, as well as insufficient and inaccurate information, make this endeavour challenging. The theory of moderator intuitionistic fuzzy set (MIFS), a generalization of intuitionistic fuzzy sets (IFSs) has been developed to handle these uncertainties. The MIFS also helps to get a higher degree of precision in the uncertain behaviours due to the moderator parameter. In this paper, first some distance measures are presented for MIFSs then on the basis of proposed distances, we suggest a TOPSIS technique for choosing the best RES inside MIFS architecture. The efficacy of the proposed MIFS-based TOPSIS technique is put to the test by comparing different wind generating systems in a case study. The findings of the study are then compared in order to demonstrate that the suggested method is superior to the existing ones.
Original languageEnglish
JournalInternational Journal of Mathematical, Engineering and Management Sciences
Publication statusAccepted for publication - 7 Jul 2023


  • Renewable energy
  • Intuitionistic fuzzy set
  • MCDM

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