• Designing of fuzzy expert heuristic models with cost management toward coordinating AHP, fuzzy TOPSIS and FIS approaches

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      https://www.ias.ac.in/article/fulltext/sadh/041/10/1209-1218

    • Keywords

       

      AHP; fuzzy TOPSIS; fuzzy inference system (FIS); multi-criteria decision making (MCDM); supplier selection.

    • Abstract

       

      In genuine industrial case, problems are inescapable and pose enormous challenges to incorporate accurate sustainability factors into supplier selection. In this present study, three different primarily based multicriteria decision making fuzzy models have been compared with their deterministic version so as to resolve fuzzy prioritization problems. The developed model applies AHP, TOPSIS and fuzzy inference system (FIS)using a MATLAB toolbox to effectively analyze the interdependencies between sustainability criteria and select the best sustainable supplier in the fuzzy environment, while capturing all objective criteria. A typical supplier A4 has been awarded the most suitable supplier with 0.386 composite relative weights of AHP, relative closeness to ideal solution 0.7154 and normalized score index 0.219 FIS model using MATLAB toolbox.

    • Author Affiliations

       

      ANUP KUMAR RAJAK1 MALAY NIRAJ SHALENDRA KUMAR

      1. Department of Mechanical Engineering, National Institute of Technology, Jamshedpur 831014, India
    • Dates

       
  • Sadhana | News

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