Robust TSK Fuzzy Modeling Approach Using Noise Clustering Concept for Function Approximation

Kyoungjung Kim, Kyu Min Kyung, Chang Woo Park, Euntai Kim, Mignon Park

Research output: Contribution to journal › Article

7 Citations (Scopus)

Abstract

This paper proposes the algorithm that additional term is added to an objective function of noise clustering algorithm to define fuzzy subspaces in a fuzzy regression manner to identify fuzzy subspaces and parameters of the consequent parts simultaneously and obtain robust performance against outliers.

Original languageEnglish
Pages (from-to)538-543
Number of pages6
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3314
Publication statusPublished - 2004 Dec 1

Fingerprint

Fuzzy Subspace
Fuzzy Modeling
Function Approximation
Clustering algorithms
Clustering
Fuzzy Regression
Fuzzy Parameters
Robust Performance
Outlier
Clustering Algorithm
Objective function
Term
Concepts

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kim, Kyoungjung ; Kyung, Kyu Min ; Park, Chang Woo ; Kim, Euntai ; Park, Mignon. / Robust TSK Fuzzy Modeling Approach Using Noise Clustering Concept for Function Approximation. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2004 ; Vol. 3314. pp. 538-543.
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Kim, K, Kyung, KM, Park, CW, Kim, E & Park, M 2004, 'Robust TSK Fuzzy Modeling Approach Using Noise Clustering Concept for Function Approximation', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3314, pp. 538-543.

Robust TSK Fuzzy Modeling Approach Using Noise Clustering Concept for Function Approximation. / Kim, Kyoungjung; Kyung, Kyu Min; Park, Chang Woo; Kim, Euntai; Park, Mignon.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3314, 01.12.2004, p. 538-543.

Research output: Contribution to journal › Article

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Kim K, Kyung KM, Park CW, Kim E, Park M. Robust TSK Fuzzy Modeling Approach Using Noise Clustering Concept for Function Approximation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2004 Dec 1;3314:538-543.

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