Principal components, B-splines, and fuzzy system reduction

John Yen; Reza Langari; Liang Wang

doi:10.1142/S0218488596000317

Principal components, B-splines, and fuzzy system reduction

John Yen, Reza Langari, Liang Wang

Cancer Institute, Cancer Control

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

This paper proposes to use the method of principal components to reduce the dimensionality of input space and the B-splines to represent the membership functions of input variables. A model reduction strategy, which is based on Johansen's optimality theorem, also suggested. The utility of this approach is illustrated using a fuzzy system modeling example.

Original language	English (US)
Pages (from-to)	561-572
Number of pages	12
Journal	International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems
Volume	4
Issue number	6
DOIs	https://doi.org/10.1142/S0218488596000317
State	Published - Jan 1 1996

All Science Journal Classification (ASJC) codes

Software
Control and Systems Engineering
Information Systems
Artificial Intelligence

Access to Document

10.1142/S0218488596000317

Fingerprint Dive into the research topics of 'Principal components, B-splines, and fuzzy system reduction'. Together they form a unique fingerprint.

Cite this

@article{8a520030ee2e4658b427bfa9fc1ee0a7,

title = "Principal components, B-splines, and fuzzy system reduction",

abstract = "This paper proposes to use the method of principal components to reduce the dimensionality of input space and the B-splines to represent the membership functions of input variables. A model reduction strategy, which is based on Johansen's optimality theorem, also suggested. The utility of this approach is illustrated using a fuzzy system modeling example.",

author = "John Yen and Reza Langari and Liang Wang",

year = "1996",

month = jan,

day = "1",

doi = "10.1142/S0218488596000317",

language = "English (US)",

volume = "4",

pages = "561--572",

journal = "International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems",

issn = "0218-4885",

publisher = "World Scientific Publishing Co. Pte Ltd",

number = "6",

}

TY - JOUR

T1 - Principal components, B-splines, and fuzzy system reduction

AU - Yen, John

AU - Langari, Reza

AU - Wang, Liang

PY - 1996/1/1

Y1 - 1996/1/1

N2 - This paper proposes to use the method of principal components to reduce the dimensionality of input space and the B-splines to represent the membership functions of input variables. A model reduction strategy, which is based on Johansen's optimality theorem, also suggested. The utility of this approach is illustrated using a fuzzy system modeling example.

AB - This paper proposes to use the method of principal components to reduce the dimensionality of input space and the B-splines to represent the membership functions of input variables. A model reduction strategy, which is based on Johansen's optimality theorem, also suggested. The utility of this approach is illustrated using a fuzzy system modeling example.

UR - http://www.scopus.com/inward/record.url?scp=0012661426&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0012661426&partnerID=8YFLogxK

U2 - 10.1142/S0218488596000317

DO - 10.1142/S0218488596000317

M3 - Article

AN - SCOPUS:0012661426

VL - 4

SP - 561

EP - 572

JO - International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems

JF - International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems

SN - 0218-4885

IS - 6

ER -