Systematic design approach for multivariable fuzzy expert system

Bin-Da Liu, Chun Yueh Huang

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

An algorithm to improve the Gupta's structure is proposed to design the multivariable fuzzy expert system. By this algorithm, the mapping problem is solved but the properties of systematic analysis and the regular design procedure are preserved. Besides, a new scheme, which can save great amount of storage, in implementing the relation matrices is presented. A famous example of inverted pendulum in fuzzy system is used to explain this algorithm. Taking the advantage of the composition rule of fuzzy inference, the inference speed of this structure is fast and it is suitable for real time processing.

Original languageEnglish
Pages2094-2099
Number of pages6
Publication statusPublished - 1994 Dec 1
EventProceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) - Orlando, FL, USA
Duration: 1994 Jun 261994 Jun 29

Other

OtherProceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3)
CityOrlando, FL, USA
Period94-06-2694-06-29

Fingerprint

Fuzzy Expert System
Expert systems
Real-time Processing
Inverted Pendulum
Fuzzy Inference
Fuzzy inference
Fuzzy systems
Pendulums
Fuzzy Systems
Processing
Chemical analysis
Design

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Liu, B-D., & Huang, C. Y. (1994). Systematic design approach for multivariable fuzzy expert system. 2094-2099. Paper presented at Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA, .
Liu, Bin-Da ; Huang, Chun Yueh. / Systematic design approach for multivariable fuzzy expert system. Paper presented at Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA, .6 p.
@conference{d2950ba0d7a344ddbad9f77e660690a7,
title = "Systematic design approach for multivariable fuzzy expert system",
abstract = "An algorithm to improve the Gupta's structure is proposed to design the multivariable fuzzy expert system. By this algorithm, the mapping problem is solved but the properties of systematic analysis and the regular design procedure are preserved. Besides, a new scheme, which can save great amount of storage, in implementing the relation matrices is presented. A famous example of inverted pendulum in fuzzy system is used to explain this algorithm. Taking the advantage of the composition rule of fuzzy inference, the inference speed of this structure is fast and it is suitable for real time processing.",
author = "Bin-Da Liu and Huang, {Chun Yueh}",
year = "1994",
month = "12",
day = "1",
language = "English",
pages = "2094--2099",
note = "Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) ; Conference date: 26-06-1994 Through 29-06-1994",

}

Liu, B-D & Huang, CY 1994, 'Systematic design approach for multivariable fuzzy expert system', Paper presented at Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA, 94-06-26 - 94-06-29 pp. 2094-2099.

Systematic design approach for multivariable fuzzy expert system. / Liu, Bin-Da; Huang, Chun Yueh.

1994. 2094-2099 Paper presented at Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - Systematic design approach for multivariable fuzzy expert system

AU - Liu, Bin-Da

AU - Huang, Chun Yueh

PY - 1994/12/1

Y1 - 1994/12/1

N2 - An algorithm to improve the Gupta's structure is proposed to design the multivariable fuzzy expert system. By this algorithm, the mapping problem is solved but the properties of systematic analysis and the regular design procedure are preserved. Besides, a new scheme, which can save great amount of storage, in implementing the relation matrices is presented. A famous example of inverted pendulum in fuzzy system is used to explain this algorithm. Taking the advantage of the composition rule of fuzzy inference, the inference speed of this structure is fast and it is suitable for real time processing.

AB - An algorithm to improve the Gupta's structure is proposed to design the multivariable fuzzy expert system. By this algorithm, the mapping problem is solved but the properties of systematic analysis and the regular design procedure are preserved. Besides, a new scheme, which can save great amount of storage, in implementing the relation matrices is presented. A famous example of inverted pendulum in fuzzy system is used to explain this algorithm. Taking the advantage of the composition rule of fuzzy inference, the inference speed of this structure is fast and it is suitable for real time processing.

UR - http://www.scopus.com/inward/record.url?scp=0028743865&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0028743865&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0028743865

SP - 2094

EP - 2099

ER -

Liu B-D, Huang CY. Systematic design approach for multivariable fuzzy expert system. 1994. Paper presented at Proceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3), Orlando, FL, USA, .