AN EVOLUTIONARY ALGORITHM DETERMINING A DEFUZZYFICATION FUNCTIONAL

Order fuzzy numbers are defined that make it possible to deal with fuzzy inputs quantitatively, exactly in the same way as with real numbers, together with four algebraic operations. An approximation formula is given for a defuzzyfication functional that plays the main role when dealing with fuzzy...

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Main Authors: WITOLD KOSIŃSKI, URSZULA MARKOWSKA-KACZMAR
Format: Article
Language:English
Published: Gdańsk University of Technology 2007-01-01
Series:TASK Quarterly
Subjects:
Online Access:https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2078
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author WITOLD KOSIŃSKI
URSZULA MARKOWSKA-KACZMAR
author_facet WITOLD KOSIŃSKI
URSZULA MARKOWSKA-KACZMAR
author_sort WITOLD KOSIŃSKI
collection DOAJ
description Order fuzzy numbers are defined that make it possible to deal with fuzzy inputs quantitatively, exactly in the same way as with real numbers, together with four algebraic operations. An approximation formula is given for a defuzzyfication functional that plays the main role when dealing with fuzzy controllers and fuzzy inference systems. A dedicated evolutionary algorithm is presented in order to determine the form of a functional when a training set is given. The form of a genotype composed of three types of chromosomes and the fitness function are given and Genetic operators are proposed.
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spelling doaj.art-6f76be2be72a441a9a6272b0de9b3b462022-12-22T00:11:42ZengGdańsk University of TechnologyTASK Quarterly1428-63942007-01-01111-2AN EVOLUTIONARY ALGORITHM DETERMINING A DEFUZZYFICATION FUNCTIONALWITOLD KOSIŃSKI0URSZULA MARKOWSKA-KACZMAR1Polish-Japanese Institute of Information Technology Research Center; Kazimierz Wielki University in Bydgoszcz, Institute of Environmental Mechanics and Applied Computer ScienceWroclaw University of Technology, Institute of Applied Informatics Order fuzzy numbers are defined that make it possible to deal with fuzzy inputs quantitatively, exactly in the same way as with real numbers, together with four algebraic operations. An approximation formula is given for a defuzzyfication functional that plays the main role when dealing with fuzzy controllers and fuzzy inference systems. A dedicated evolutionary algorithm is presented in order to determine the form of a functional when a training set is given. The form of a genotype composed of three types of chromosomes and the fitness function are given and Genetic operators are proposed. https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2078ordered fuzzy numbersdefuzzyficationgenetic algorithm
spellingShingle WITOLD KOSIŃSKI
URSZULA MARKOWSKA-KACZMAR
AN EVOLUTIONARY ALGORITHM DETERMINING A DEFUZZYFICATION FUNCTIONAL
TASK Quarterly
ordered fuzzy numbers
defuzzyfication
genetic algorithm
title AN EVOLUTIONARY ALGORITHM DETERMINING A DEFUZZYFICATION FUNCTIONAL
title_full AN EVOLUTIONARY ALGORITHM DETERMINING A DEFUZZYFICATION FUNCTIONAL
title_fullStr AN EVOLUTIONARY ALGORITHM DETERMINING A DEFUZZYFICATION FUNCTIONAL
title_full_unstemmed AN EVOLUTIONARY ALGORITHM DETERMINING A DEFUZZYFICATION FUNCTIONAL
title_short AN EVOLUTIONARY ALGORITHM DETERMINING A DEFUZZYFICATION FUNCTIONAL
title_sort evolutionary algorithm determining a defuzzyfication functional
topic ordered fuzzy numbers
defuzzyfication
genetic algorithm
url https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2078
work_keys_str_mv AT witoldkosinski anevolutionaryalgorithmdeterminingadefuzzyficationfunctional
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AT urszulamarkowskakaczmar evolutionaryalgorithmdeterminingadefuzzyficationfunctional