Simpful: A User-Friendly Python Library for Fuzzy Logic

Authors

Simone Spolaor^1, , Caro Fuchs^2, , Paolo Cazzaniga^{3, 4, 5,} , Uzay Kaymak^2, , Daniela Besozzi^{1, 4, 5,} , Marco S. Nobile^{2, 4, 5, *,}

¹Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy

²School of Industrial Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands

³Department of Human and Social Sciences, University of Bergamo, Bergamo, Italy

⁴SYSBIO/ISBE.IT Centre of Systems Biology, Milan, Italy

⁵Bicocca Bioinformatics, Biostatistics and Bioimaging Centre (B4), Milan, Italy

^*Corresponding author. Email: m.s.nobile@tue.nl

DOI

10.2991/ijcis.d.201012.002How to use a DOI?

Keywords

Decision support; Fuzzy logic; Fuzzy networks; Modeling and control; Open- source software; Python library

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.

Copyright

© 2020 The Authors. Published by Atlantis Press B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Simone Spolaor
AU  - Caro Fuchs
AU  - Paolo Cazzaniga
AU  - Uzay Kaymak
AU  - Daniela Besozzi
AU  - Marco S. Nobile
PY  - 2020
DA  - 2020/10/24
TI  - Simpful: A User-Friendly Python Library for Fuzzy Logic
JO  - International Journal of Computational Intelligence Systems
SP  - 1687
EP  - 1698
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.201012.002
DO  - 10.2991/ijcis.d.201012.002
ID  - Spolaor2020
ER  -