Sparse fuzzy systems generation and fuzzy rule interpolation: A practical approach

Chong; T. D. Gedeon; Sz Kovacs; L. T. Koczy

Sparse fuzzy systems generation and fuzzy rule interpolation: A practical approach

Chong, T. D. Gedeon, Sz Kovacs, L. T. Koczy

Research output: Contribution to conference › Paper › peer-review

2 Citations (Scopus)

Abstract

In this paper, we explore the use of a sparse fuzzy system generation technique in conjunction with simple projection-based fuzzy rule interpolation, to generate sparse fuzzy systems with relatively few rules whilst still achieving reasonable system accuracy. Through setting a parameter value, the user is able to control, to some extent, the number of rules generated by the rule extraction technique. The rule interpolation approach enables the sparse fuzzy system to maintain a reasonable accuracy. The effectiveness of this approach is validated experimentally.

Original language	English
Pages	494-499
Number of pages	6
Publication status	Published - 2003
Event	The IEEE International conference on Fuzzy Systems - St. Louis, MO, United States Duration: 25 May 2003 → 28 May 2003

Conference

Conference	The IEEE International conference on Fuzzy Systems
Country/Territory	United States
City	St. Louis, MO
Period	25/05/03 → 28/05/03

Cite this

@conference{c80d689926e74bddabd8ff806febbef1,

title = "Sparse fuzzy systems generation and fuzzy rule interpolation: A practical approach",

abstract = "In this paper, we explore the use of a sparse fuzzy system generation technique in conjunction with simple projection-based fuzzy rule interpolation, to generate sparse fuzzy systems with relatively few rules whilst still achieving reasonable system accuracy. Through setting a parameter value, the user is able to control, to some extent, the number of rules generated by the rule extraction technique. The rule interpolation approach enables the sparse fuzzy system to maintain a reasonable accuracy. The effectiveness of this approach is validated experimentally.",

author = "Chong and Gedeon, {T. D.} and Sz Kovacs and Koczy, {L. T.}",

year = "2003",

language = "English",

pages = "494--499",

note = "The IEEE International conference on Fuzzy Systems ; Conference date: 25-05-2003 Through 28-05-2003",

}

TY - CONF

T1 - Sparse fuzzy systems generation and fuzzy rule interpolation

T2 - The IEEE International conference on Fuzzy Systems

AU - Chong,

AU - Gedeon, T. D.

AU - Kovacs, Sz

AU - Koczy, L. T.

PY - 2003

Y1 - 2003

N2 - In this paper, we explore the use of a sparse fuzzy system generation technique in conjunction with simple projection-based fuzzy rule interpolation, to generate sparse fuzzy systems with relatively few rules whilst still achieving reasonable system accuracy. Through setting a parameter value, the user is able to control, to some extent, the number of rules generated by the rule extraction technique. The rule interpolation approach enables the sparse fuzzy system to maintain a reasonable accuracy. The effectiveness of this approach is validated experimentally.

AB - In this paper, we explore the use of a sparse fuzzy system generation technique in conjunction with simple projection-based fuzzy rule interpolation, to generate sparse fuzzy systems with relatively few rules whilst still achieving reasonable system accuracy. Through setting a parameter value, the user is able to control, to some extent, the number of rules generated by the rule extraction technique. The rule interpolation approach enables the sparse fuzzy system to maintain a reasonable accuracy. The effectiveness of this approach is validated experimentally.

UR - http://www.scopus.com/inward/record.url?scp=0038537483&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0038537483

SP - 494

EP - 499

Y2 - 25 May 2003 through 28 May 2003

ER -

Sparse fuzzy systems generation and fuzzy rule interpolation: A practical approach

Abstract

Conference

Other files and links

Fingerprint

Cite this