@inproceedings{fc567fd8dc574811b3d029e86c798e9a,
title = "Constructing optimal fuzzy models using statistical information criteria",
abstract = "In this paper we describe a principled approach to explore the fitness-complexity trade-off using several optiniality criteria together with a fuzzy model reduction technique based on the singular value decomposition (SVD). The role of these optimality criteria in fuzzy modeling is discussed and their practical applicability is illustrated using a nonlinear system modeling example.",
author = "J. Yen and {Liang Wang}, Wang",
note = "Funding Information: This research is supported by National Science Foundation Young Investigator Award IRI-9257293. Publisher Copyright: {\textcopyright} 1996 ITESM.; 1996 Mexico-USA Collaboration in Intelligent Systems Technologies - 1st Joint Conference on Intelligent Systems between the 9th International Symposium on Artificial Intelllgence, ISAI 1996 and the 6th International Conference on Industrial Fuzzy Control and Intelligent Systems, IFIS 1996 ; Conference date: 12-11-1996 Through 15-11-1996",
year = "1996",
language = "English (US)",
series = "Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "394--402",
editor = "Rogelio Soto and Sanchez, {Jose M.} and Cantu-Ortiz, {Francisco J.} and Moraima Campbell",
booktitle = "Proceedings ISAI / IFIS 1996 Mexico - USA Collaboration in Intelligent Systems Technologies",
address = "United States",
}