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Simpful: A user-friendly python library for fuzzy logic

Academic Article
Publication Date:
2020
Short description:
(2020). Simpful: A user-friendly python library for fuzzy logic [journal article - articolo]. In INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS. Retrieved from http://hdl.handle.net/10446/189958
abstract:
Many researchers have used fuzzy set theory and fuzzy logic in a variety of applications related to computer science and engineering, given the capability of fuzzy inference systems to deal with uncertainty, represent vague concepts, and connect human language to numerical data. In this work we propose Simpful, a general-purpose and user-friendly Python library designed to facilitate the definition, analysis, and interpretation of fuzzy inference systems. Simpful provides a lightweight Application Programming Interface that allows to intuitively define fuzzy sets and fuzzy rules, and to perform fuzzy inference. Worthy of note, in Simpful the fuzzy rules are specified by means of strings of text written in natural language. We provide here some practical examples to show that Simpful represents a valuable addition to the open-source software that supports fuzzy reasoning.
Iris type:
1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays
List of contributors:
Spolaor, S.; Fuchs, C.; Cazzaniga, Paolo; Kaymak, U.; Besozzi, D.; Nobile, M. S.
Authors of the University:
CAZZANIGA Paolo
Handle:
https://aisberg.unibg.it/handle/10446/189958
Full Text:
https://aisberg.unibg.it/retrieve/handle/10446/189958/438641/125945415.pdf
Published in:
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
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Settore INF/01 - Informatica
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