Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering SystemsCRC Press, 28 abr 1995 - 256 páginas This book presents in a systematic and comprehensive manner the modeling of uncertainty, vagueness, or imprecision, alias "fuzziness," in just about any field of science and engineering. It delivers a usable methodology for modeling in the absence of real-time feedback. The book includes a short introduction to fuzzy logic containing basic definitions of fuzzy set theory and fuzzy rule systems. It describes methods for the assessment of rule systems, systems with discrete response sets, for modeling time series, for exact physical systems, examines verification and redundancy issues, and investigates rule response functions. Definitions and propositions, some of which have not been published elsewhere, are provided; numerous examples as well as references to more elaborate case studies are also given. Fuzzy rule-based modeling has the potential to revolutionize fields such as hydrology because it can handle uncertainty in modeling problems too complex to be approached by a stochastic analysis. There is also excellent potential for handling large-scale systems such as regionalization or highly non-linear problems such as unsaturated groundwater pollution. |
Índice
Introduction | 6 |
Fuzzy rules | 43 |
4 | 81 |
3 | 90 |
8 | 130 |
Rule systems with discrete responses | 149 |
Application to time series | 167 |
Application to dynamical physical systems | 179 |
Other applications | 193 |
References | 215 |
Proofs of selected propositions | 223 |
231 | |
Otras ediciones - Ver todo
Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and ... Andras - Bardossy,Lucien Duckstein Vista previa restringida - 2022 |
Fuzzy Rule-based Modeling with Applications to Geophysical, Biological, and ... András Bárdossy No hay ninguna vista previa disponible - 1995 |
Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and ... Andras Bardossy,Lucien Duckstein No hay ninguna vista previa disponible - 2022 |
Términos y frases comunes
A₁ additive combination methods ak(s anticyclonic applied arguments atmospheric circulation B₁ b₂ Bárdossy calculated Cartesian product Chapter classification considered continuous function corresponding defined definition defuzzification method degree of fulfillment described discrete DOF-s Dubois and Prade Duckstein element example experts Figure forecasted formulated fuzzy control fuzzy logic fuzzy mean fuzzy model fuzzy premises fuzzy response fuzzy rule fuzzy rule systems fuzzy rule-based modeling fuzzy set hypertension intersection interval L-R fuzzy numbers least squares least squares algorithm linear maximum combination method mean defuzzification measure median membership function membership value min-max minimum combination moisture content neural nets normed weighted sum observed obtained parameters possible Prade problem procedure product inference Proposition real numbers response set Richards equation rule assessment rule response function selected sum combination method t-norm Table techniques tion training set triangular fuzzy number v₁ water demand weighted counting algorithm weighted sum combination µB(x
Referencias a este libro
Evaluation of Uncertainties and Risks in Geology: New Mathematical ... György Bardossy,János Fodor Vista previa restringida - 2004 |
Fuzzy Expert Systems and Fuzzy Reasoning William Siler,James J. Buckley Vista previa restringida - 2005 |