Uncertainty is an essential feature of many concepts, data sets, and operations encountered in various applications related to computer science and engineering, and medical diagnostics. This paper introduces an extension to the Simpful library, enhancing it with capabilities for interval-valued fuzzy sets (IVFSs) and generalized fuzzy inference. Addressing the need for comprehensive uncertainty modeling in various applications, this extension offers intuitive definitions and operations for interval-valued fuzzy sets, facilitating advanced reasoning in uncertain environments.
Python library for interval-valued fuzzy inference
Gil, Dorota;Nobile, Marco S.
2024-01-01
Abstract
Uncertainty is an essential feature of many concepts, data sets, and operations encountered in various applications related to computer science and engineering, and medical diagnostics. This paper introduces an extension to the Simpful library, enhancing it with capabilities for interval-valued fuzzy sets (IVFSs) and generalized fuzzy inference. Addressing the need for comprehensive uncertainty modeling in various applications, this extension offers intuitive definitions and operations for interval-valued fuzzy sets, facilitating advanced reasoning in uncertain environments.
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