Simpful: a user-friendly Python library for fuzzy logic

Simone Spolaor; Caro E.M. Fuchs; Paolo Cazzaniga; Uzay Kaymak; Daniela Besozzi; Marco S. Nobile

doi:10.2991/ijcis.d.201012.002

Simpful: a user-friendly Python library for fuzzy logic

Simone Spolaor, Caro E.M. Fuchs, Paolo Cazzaniga, Uzay Kaymak, Daniela Besozzi, Marco S. Nobile (Corresponding author)

Research output: Contribution to journal › Article › Academic › peer-review

52 Citations (Scopus)

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.

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

Original language	English
Pages (from-to)	1687-1698
Number of pages	12
Journal	International Journal of Computational Intelligence Systems
Volume	13
Issue number	1
DOIs	https://doi.org/10.2991/ijcis.d.201012.002
Publication status	Published - 24 Oct 2020

Keywords

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

Access to Document

10.2991/ijcis.d.201012.002Licence: CC BY-NC

Cite this

@article{9c6dffe7d97747718bc1aa7f73ab3840,

title = "Simpful: a user-friendly Python library for fuzzy logic",

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.KeywordsDecision support, Fuzzy logic, Fuzzy networks, Modeling and control, Open- source software, Python library",

keywords = "Decision support, Fuzzy logic, Fuzzy networks, Modeling and control, Open- source software, Python library",

author = "Simone Spolaor and Fuchs, {Caro E.M.} and Paolo Cazzaniga and Uzay Kaymak and Daniela Besozzi and Nobile, {Marco S.}",

year = "2020",

month = oct,

day = "24",

doi = "10.2991/ijcis.d.201012.002",

language = "English",

volume = "13",

pages = "1687--1698",

journal = "International Journal of Computational Intelligence Systems",

issn = "1875-6891",

publisher = "Springer",

number = "1",

}

TY - JOUR

T1 - Simpful: a user-friendly Python library for fuzzy logic

AU - Spolaor, Simone

AU - Fuchs, Caro E.M.

AU - Cazzaniga, Paolo

AU - Kaymak, Uzay

AU - Besozzi, Daniela

AU - Nobile, Marco S.

PY - 2020/10/24

Y1 - 2020/10/24

N2 - 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.KeywordsDecision support, Fuzzy logic, Fuzzy networks, Modeling and control, Open- source software, Python library

AB - 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.KeywordsDecision support, Fuzzy logic, Fuzzy networks, Modeling and control, Open- source software, Python library

KW - Decision support

KW - Fuzzy logic

KW - Fuzzy networks

KW - Modeling and control

KW - Open- source software

KW - Python library

UR - http://www.scopus.com/inward/record.url?scp=85098110596&partnerID=8YFLogxK

U2 - 10.2991/ijcis.d.201012.002

DO - 10.2991/ijcis.d.201012.002

M3 - Article

SN - 1875-6891

VL - 13

SP - 1687

EP - 1698

JO - International Journal of Computational Intelligence Systems

JF - International Journal of Computational Intelligence Systems

IS - 1

ER -

Simpful: a user-friendly Python library for fuzzy logic

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this