Improving Similarity Measures for Modeling Real-World Issues With Interval-Valued Intuitionistic Fuzzy Sets

Improving Similarity Measures for Modeling Real-World Issues With Interval-Valued Intuitionistic Fuzzy Sets

The concept of interval-valued intuitionistic fuzzy sets (IVIFSs) presents a compelling and practical framework for modeling real-world problems. In various fields, such as pattern recognition and decision-making, the development of similarity measures tailored to this class holds significant import...

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Bibliographic Details
Main Authors: Hanan Alolaiyan, Abdul Razaq, Humaira Ashfaq, Dilshad Alghazzawi, Umer Shuaib, Jia-Bao Liu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Decision making problem
interval valued intuitionistic fuzzy set
optimal production strategy
similarity measure
software quality model
Online Access:https://ieeexplore.ieee.org/document/10384365/

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