Abstract
This paper presents Neural Network and Genetic Algorithm approaches to fuzzy system design, which aims to shorten development time and increase system performance. An approach that uses neural network to represent multi-dimensional nonlinear membership functions and an approach to tune membership function parameters are given. A genetic algorithm approach that integrates and automates three fuzzy system design stages is also proposed.
| Original language | English |
|---|---|
| Title of host publication | Fuzzy Logic in Artificial Intelligence - 8th Austrian Artificial Intelligence Conference, FLAI 1993, Proceedings |
| Editors | Erich P. Klement, Wolfgang Slany |
| Publisher | Springer Verlag |
| Pages | 68-79 |
| Number of pages | 12 |
| ISBN (Print) | 9783540569206 |
| Publication status | Published - Jan 1 1993 |
| Externally published | Yes |
| Event | 8th Austrian Artificial Intelligence Conference on Fuzzy Logic, FLAI 1993 - Linz, Austria Duration: Jun 28 1993 → Jun 30 1993 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 695 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 8th Austrian Artificial Intelligence Conference on Fuzzy Logic, FLAI 1993 |
|---|---|
| Country | Austria |
| City | Linz |
| Period | 6/28/93 → 6/30/93 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
Takagi, H., & Lee, M. (1993). Neural networks and genetic algorithm approaches to auto-design of fuzzy systems. In E. P. Klement, & W. Slany (Eds.), Fuzzy Logic in Artificial Intelligence - 8th Austrian Artificial Intelligence Conference, FLAI 1993, Proceedings (pp. 68-79). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 695 LNAI). Springer Verlag.