TY - CHAP
T1 - Formal simplification of fuzzy rule based systems
AU - Gegov, Alexander
PY - 2007/6/2
Y1 - 2007/6/2
N2 - As opposed to Chapters 4-8, which deal mainly with qualitative complexity in fuzzy systems, the current chapter is dedicated to the problem of quantitative complexity. However, the material presented here is a natural extension of the concepts introduced earlier in relation to qualitative complexity. In this context, the overall complexity management process in fuzzy systems has to be seen as a general framework whereby we first use formal presentation, manipulation and transformation techniques to address the qualitative complexity in fuzzy systems and then use formal simplification techniques to deal with the quantitative complexity.
AB - As opposed to Chapters 4-8, which deal mainly with qualitative complexity in fuzzy systems, the current chapter is dedicated to the problem of quantitative complexity. However, the material presented here is a natural extension of the concepts introduced earlier in relation to qualitative complexity. In this context, the overall complexity management process in fuzzy systems has to be seen as a general framework whereby we first use formal presentation, manipulation and transformation techniques to address the qualitative complexity in fuzzy systems and then use formal simplification techniques to deal with the quantitative complexity.
UR - https://www.scopus.com/pages/publications/34250025371
U2 - 10.1007/978-3-540-38885-2_9
DO - 10.1007/978-3-540-38885-2_9
M3 - Chapter (peer-reviewed)
AN - SCOPUS:34250025371
SN - 3540388834
SN - 9783540388838
T3 - Studies in Fuzziness and Soft Computing
SP - 269
EP - 340
BT - Complexity Management in Fuzzy Systems
PB - Springer
ER -