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Intuitionistic Fuzzy Information Aggregation Based on Sugeno-Weber Triangular Norms

  • Kifayat Ullah,
  • Abrar Hussain,
  • Shi Yin,
  • Dragan Pamucar

摘要

This presented research work is used to develop some viable mathematical approaches to fuse unpredictable and vague type information of human opinion. Numerous mathematical strategies and results were introduced by different mathematicians under considering different fuzzy domains. The uniqueness of existing approaches is to resolve genuine real-life applications. In this article, the authors explore some realistic operational laws of Sugeno-Weber t-norms and t-conorms in light of intuitionistic fuzzy information. To illustrate prioritization among different attributes information, we develop some flexible mathematical approaches by incorporating the system of intuitionistic fuzzy information including intuitionistic fuzzy Sugeno-Weber prioritized average (IFSWPrA) and intuitionistic fuzzy Sugeno-Weber prioritized weighted average (IFSWPrWA). A numerical example is also designed to reveal the applicability and validity of proposed approaches.