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A Fuzzy Logic Programming Environment for Managing Similarity and Truth Degrees [PDF]

open access: diamondElectronic Proceedings in Theoretical Computer Science, 2015
FASILL (acronym of "Fuzzy Aggregators and Similarity Into a Logic Language") is a fuzzy logic programming language with implicit/explicit truth degree annotations, a great variety of connectives and unification by similarity.
Pascual Julián-Iranzo   +3 more
doaj   +8 more sources

jFuzzyLogic: a Java Library to Design Fuzzy Logic Controllers According to the Standard for Fuzzy Control Programming [PDF]

open access: goldInternational Journal of Computational Intelligence Systems, 2013
Fuzzy Logic Controllers are a specific model of Fuzzy Rule Based Systems suitable for engineering applications for which classic control strategies do not achieve good results or for when it is too difficult to obtain a mathematical model.
Pablo Cingolani, Jesús Alcalá-Fdez
doaj   +3 more sources

Visual programming environment for multidimensional fuzzy interval-logic regulators [PDF]

open access: diamondНаучно-технический вестник информационных технологий, механики и оптики, 2023
The approach to synthesis and development of multidimensional fuzzy interval-logic regulators in the created visual programming environment that generates the program code of regulators for Simatic S7-300 and S7-400 controllers is considered ...
A. F. Antipin, E. V. Antipina
doaj   +2 more sources

Using the Fuzzy Logic in Assessing the Programming Performance of Students

open access: yesInternational Journal of Assessment Tools in Education, 2018
The overall objective of this study is to understandhow the fuzzy logic theory can be used in measuring the programming performanceof the undergraduate students, as well as proving the advantages of using fuzzylogic in evaluation of students’ performance.
Ozan Şenkal, Nihan Arslan Namlı
doaj   +2 more sources

Extending Fuzzy Linguistic Logic Programming with Negation [PDF]

open access: goldMathematics, 2022
Fuzzy linguistic logic programming (FLLP) is a framework for representation and reasoning with linguistically expressed human knowledge. In this paper, we extend FLLP by allowing negative literals to appear in rule bodies, resulting in normal logic ...
Van Hung Le
doaj   +2 more sources

Reducing Fuzzy Answer Set Programming to Model Finding in Fuzzy Logics [PDF]

open access: green, 2011
In recent years, answer set programming (ASP) has been extended to deal with multivalued predicates. The resulting formalisms allow for the modeling of continuous problems as elegantly as ASP allows for the modeling of discrete problems, by combining the
Jeroen Janssen   +3 more
openalex   +5 more sources

Water Quality Monitoring with Fuzzy Logic Control based on Graphical Programming

open access: diamond, 2016
Water quality is the most important aspect to ensure success in various aspects of life, for example in the shrimp ponds. On a shrimp pond, water conditions are very vital because it has a very strict threshold.
Mochammad Hannats Hanafi Ichsan   +2 more
openalex   +3 more sources

Simpful: A User-Friendly Python Library for Fuzzy Logic

open access: yesInternational Journal of Computational Intelligence Systems, 2020
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 ...
Simone Spolaor   +5 more
doaj   +2 more sources

Genetic programming elements in fuzzy logic problems

open access: greenRUDN Journal of Engineering Research, 2009
The method of fuzzy control system parameters synthesis and adjustment is given. The method uses genetic programming elements. Fuzzy regulator is included in direct control circuit of nonlinear dynamic object.
J A Malyuk
doaj   +1 more source

Fuzzy Linear Programming for Economic Planning and Optimization: A Quantitative Approach

open access: yesCybernetics and Information Technologies
Fuzzy Linear Programming (FLP) has the potential to be used in optimizing economic planning and making decisions under uncertainty. FLP incorporates fuzzy logic into linear programming to represent and manage economic parameters that are uncertain, e.g.,
Mohammad Anber Abraheem Shlash   +6 more
doaj   +2 more sources

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