Centroid of an Interval Type-2 Fuzzy Set: Continuous vs. Discrete

Karnik-Mendel algorithm involves execution of two independent procedures for computing the centroid of an interval type-2 fuzzy set: the first one for computing the left endpoint of the interval centroid (which is denoted by cl), and the second one for computing its right counterpart (which is denot...

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Main Authors: Omar Salazar Morales, José Humberto Serrano Devia, José Jairo Soriano Mendez
Format: Article
Language:Spanish
Published: Universidad Distrital Francisco José de Caldas 2011-12-01
Series:Ingeniería
Subjects:
Online Access:http://revistas.udistrital.edu.co/ojs/index.php/reving/article/view/3834
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author Omar Salazar Morales
José Humberto Serrano Devia
José Jairo Soriano Mendez
author_facet Omar Salazar Morales
José Humberto Serrano Devia
José Jairo Soriano Mendez
author_sort Omar Salazar Morales
collection DOAJ
description Karnik-Mendel algorithm involves execution of two independent procedures for computing the centroid of an interval type-2 fuzzy set: the first one for computing the left endpoint of the interval centroid (which is denoted by cl), and the second one for computing its right counterpart (which is denoted by cr). Convergence of the discrete version of the algorithm to compute the centroid is known, whereas convergence of the continuous version may exhibit some issues. This paper shows that the calculation of cl and cr are really the same problem on the discrete version, and also we describe some problems related with the convergence of the centroid on its continuous version.
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spelling doaj.art-fa7fbdc42a2d4547a860303db22538ba2022-12-22T01:47:39ZspaUniversidad Distrital Francisco José de CaldasIngeniería0121-750X2344-83932011-12-0116267783682Centroid of an Interval Type-2 Fuzzy Set: Continuous vs. DiscreteOmar Salazar Morales0José Humberto Serrano Devia1José Jairo Soriano Mendez2Universidad Distrital Francisco José de CaldasUniversidad Distrital Francisco José de CaldasUniversidad Distrital Francisco José de CaldasKarnik-Mendel algorithm involves execution of two independent procedures for computing the centroid of an interval type-2 fuzzy set: the first one for computing the left endpoint of the interval centroid (which is denoted by cl), and the second one for computing its right counterpart (which is denoted by cr). Convergence of the discrete version of the algorithm to compute the centroid is known, whereas convergence of the continuous version may exhibit some issues. This paper shows that the calculation of cl and cr are really the same problem on the discrete version, and also we describe some problems related with the convergence of the centroid on its continuous version.http://revistas.udistrital.edu.co/ojs/index.php/reving/article/view/3834Centroid, Karnik-Mendel algorithm, interval type-2 fuzzy set, recursive algorithm.
spellingShingle Omar Salazar Morales
José Humberto Serrano Devia
José Jairo Soriano Mendez
Centroid of an Interval Type-2 Fuzzy Set: Continuous vs. Discrete
Ingeniería
Centroid, Karnik-Mendel algorithm, interval type-2 fuzzy set, recursive algorithm.
title Centroid of an Interval Type-2 Fuzzy Set: Continuous vs. Discrete
title_full Centroid of an Interval Type-2 Fuzzy Set: Continuous vs. Discrete
title_fullStr Centroid of an Interval Type-2 Fuzzy Set: Continuous vs. Discrete
title_full_unstemmed Centroid of an Interval Type-2 Fuzzy Set: Continuous vs. Discrete
title_short Centroid of an Interval Type-2 Fuzzy Set: Continuous vs. Discrete
title_sort centroid of an interval type 2 fuzzy set continuous vs discrete
topic Centroid, Karnik-Mendel algorithm, interval type-2 fuzzy set, recursive algorithm.
url http://revistas.udistrital.edu.co/ojs/index.php/reving/article/view/3834
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