Application of Complex Polytopic Fuzzy Information Systems in Knowledge Engineering: Decision Support for COVID-19 Vaccine Selection

Journal Title: International Journal of Knowledge and Innovation Studies - Year 2023, Vol 1, Issue 1

Abstract

This paper aims to introduce the concepts of complex Polytopic fuzzy sets (CPoFSs) and complex Polytopic fuzzy numbers (CPoFNs), advancing the field of fuzzy logic. Three innovative aggregation operators based on CPoFNs are presented: The complex Polytopic fuzzy weighted averaging aggregation (CPoFWAA) operator, the complex Polytopic fuzzy ordered weighted averaging aggregation (CPoFOWAA) operator, and the complex Polytopic fuzzy hybrid averaging aggregation (CPoFHAA) operator. A significant application of these complex Polytopic fuzzy sets is their integration into decision-making processes, particularly in identifying the most suitable COVID-19 vaccines for patients. This application highlights the practical relevance and the innovative nature of the proposed methods. The paper further demonstrates the efficacy and efficiency of these methods through a comprehensive example provided towards the end, underscoring their potential in real-world scenarios.

Authors and Affiliations

Khaista Rahman

Keywords

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  • EP ID EP732603
  • DOI https://doi.org/10.56578/ijkis010105
  • Views 73
  • Downloads 1

How To Cite

Khaista Rahman (2023). Application of Complex Polytopic Fuzzy Information Systems in Knowledge Engineering: Decision Support for COVID-19 Vaccine Selection. International Journal of Knowledge and Innovation Studies, 1(1), -. https://europub.co.uk/articles/-A-732603