New Entropy-Based Similarity Measure between Interval-Valued Intuitionstic Fuzzy Sets
Saida S. Mohamed,
Areeg Abdalla,
Robert I. John
Affiliations
Saida S. Mohamed
Mathematics Department, Faculty of Science, Cairo University, Cairo 12613, Egypt
Areeg Abdalla
Mathematics Department, Faculty of Science, Cairo University, Cairo 12613, Egypt
Robert I. John
Automated Scheduling and Planning (ASAP) and Lab for Uncertainty in Data and Decision Making (LUCID), School of Computer Science, University of Nottingham, Nottingham NG81BB, UK
In this paper, we propose a new approach to constructing similarity measures using the entropy measure for Interval-Valued Intuitionistic Fuzzy Sets. In addition, we provide several illustrative examples to demonstrate the practicality and effectiveness of the proposed formula. Finally, we use the new proposed similarity measure to develop a new approach for solving problems of pattern recognition and multi-criteria fuzzy decision-making.
