Constructing optimal fuzzy models using statistical information criteria

John Yen; Liang Wang

Constructing optimal fuzzy models using statistical information criteria

John Yen, Liang Wang

Cancer Institute, Cancer Control

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

In this paper we describe a principled approach to explore the fitness-complexity trade-off using several optimality criteria together with a fuzzy model reduction technique based on the singular value decomposition (SVD). The role of these optimality criteria in fuzzy modeling is discussed and their practical applicability is illustrated using a nonlinear system modeling example.

Original language	English (US)
Title of host publication	Mexico-USA Collaboration in Intelligent Systems Technologies
Editors	Anon
Publisher	IEEE
Pages	394-402
Number of pages	9
State	Published - 1996
Event	Proceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS - Cancun, Mex Duration: Nov 12 1996 → Nov 15 1996

Other

Other	Proceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS
City	Cancun, Mex
Period	11/12/96 → 11/15/96

All Science Journal Classification (ASJC) codes

Engineering(all)

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Cite this

@inproceedings{c62197fcae054af3b3a2aa6b1d53f47d,

title = "Constructing optimal fuzzy models using statistical information criteria",

abstract = "In this paper we describe a principled approach to explore the fitness-complexity trade-off using several optimality criteria together with a fuzzy model reduction technique based on the singular value decomposition (SVD). The role of these optimality criteria in fuzzy modeling is discussed and their practical applicability is illustrated using a nonlinear system modeling example.",

author = "John Yen and Liang Wang",

year = "1996",

language = "English (US)",

pages = "394--402",

editor = "Anon",

booktitle = "Mexico-USA Collaboration in Intelligent Systems Technologies",

publisher = "IEEE",

note = "Proceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS ; Conference date: 12-11-1996 Through 15-11-1996",

}

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T1 - Constructing optimal fuzzy models using statistical information criteria

AU - Yen, John

AU - Wang, Liang

PY - 1996

Y1 - 1996

N2 - In this paper we describe a principled approach to explore the fitness-complexity trade-off using several optimality criteria together with a fuzzy model reduction technique based on the singular value decomposition (SVD). The role of these optimality criteria in fuzzy modeling is discussed and their practical applicability is illustrated using a nonlinear system modeling example.

AB - In this paper we describe a principled approach to explore the fitness-complexity trade-off using several optimality criteria together with a fuzzy model reduction technique based on the singular value decomposition (SVD). The role of these optimality criteria in fuzzy modeling is discussed and their practical applicability is illustrated using a nonlinear system modeling example.

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M3 - Conference contribution

AN - SCOPUS:0030364421

SP - 394

EP - 402

BT - Mexico-USA Collaboration in Intelligent Systems Technologies

A2 - Anon, null

PB - IEEE

T2 - Proceedings of the 1996 1st Joint Conference on Intelligent Systems/ISAI/IFIS

Y2 - 12 November 1996 through 15 November 1996

ER -