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
Enhancement of the Defining Interrelationships Between Ranked Criteria II Method Using Interval Grey Numbers for Application in the Grey-Rough MCDM Model
Multi-Criteria Decision-Making (MCDM) represents a critical area of research, particularly in artificial intelligence, through the modeling of real-world decision-making scenarios. Numerous methods have been developed to...
Application of Knowledge Engineering in Sports Protective Gear Design: A Study on Innovative Methods Based on Extension Theory
This study, rooted in extension theory and the principles of knowledge engineering, explores and formulates a novel method for generating sports protective gear designs. Given the critical role of sports protective gear...
Enhanced Decision-Making Through Induced Confidence-Level Complex Polytopic Fuzzy Aggregation Operators
This study introduces novel aggregation operators aimed at enhancing data analysis and decision-making processes through the induction of confidence levels into complex polytopic fuzzy systems. Specifically, the induced...
A Residual Network with Multi-Scale Dilated Convolutions for Enhanced Recognition of Digital Ink Chinese Characters by Non-Native Writers
Digital ink Chinese character recognition (DICCR) systems have predominantly been developed using datasets composed of native language writers. However, the handwriting of foreign students, who possess distinct writing h...
Evaluating the Logistics Performance Index of European Union Countries: An Integrated Multi-Criteria Decision-Making Approach Utilizing the Bonferroni Operator
The evaluation of the Logistics Performance Index (LPI), as computed by the World Bank, incorporates six equally weighted criteria to ascertain the overall performance scores of countries globally. This study aims to scr...