Accuracy Improvements in Linguistic Fuzzy Modeling - download pdf or read online

By Jorge Casillas, O. Cordón, Francisco Herrera Triguero, Luis Magdalena

ISBN-10: 3540370587

ISBN-13: 9783540370581

ISBN-10: 3642057039

ISBN-13: 9783642057038

Fuzzy modeling frequently comes with contradictory requisites: interpretability, that is the aptitude to precise the genuine approach habit in a understandable approach, and accuracy, that's the aptitude to faithfully signify the genuine procedure. during this framework, essentially the most very important parts is linguistic fuzzy modeling, the place the legibility of the bought version is the most goal. This job is mostly constructed by way of linguistic (Mamdani) fuzzy rule-based structures. An lively learn zone is orientated in the direction of using new innovations and constructions to increase the classical, inflexible linguistic fuzzy modeling with the most objective of accelerating its precision measure. often, this accuracy development has been performed with no contemplating the corresponding interpretability loss. at the moment, new traits were proposed attempting to guard the linguistic fuzzy version description strength throughout the optimization strategy. Written through prime specialists within the box, this quantity collects a few consultant researcher that pursue this process.

Show description

Read or Download Accuracy Improvements in Linguistic Fuzzy Modeling PDF

Similar combinatorics books

Download e-book for iPad: Introduction to Combinatorial Torsions (Lectures in by Vladimir Turaev

This booklet is an creation to combinatorial torsions of mobile areas and manifolds with distinct emphasis on torsions of three-dimensional manifolds. the 1st chapters hide algebraic foundations of the idea of torsions and diverse topological structures of torsions because of okay. Reidemeister, J.

Geometric Discrepancy: An Illustrated Guide - download pdf or read online

What's the "most uniform" means of dispensing n issues within the unit sq.? How mammoth is the "irregularity" unavoidably found in this type of distribution? Such questions are taken care of in geometric discrepancy concept. The booklet is an available and energetic advent to this quarter, with a number of routines and illustrations.

A Primer in Combinatorics - download pdf or read online

This textbook is dedicated to Combinatorics and Graph idea, that are cornerstones of Discrete arithmetic. each part starts with uncomplicated version difficulties. Following their designated research, the reader is led in the course of the derivation of definitions, thoughts and techniques for fixing general difficulties. Theorems then are formulated, proved and illustrated via extra difficulties of accelerating trouble.

Additional info for Accuracy Improvements in Linguistic Fuzzy Modeling

Example text

Handling of inconsistent rules with an extended model of fuzzy reasoning. Joumal of Intelligent and Fuzzy Systems, 7:55-73, 1999. W. R. C. Gomide. Nonlinear context adaptation in the calibration of fuzzy sets. Fuzzy Sets and Systems, 88(1):91-97, 1997. M. Setnes and H. Hellendoorn. Orthogonal transforms for ordering and reduction of fuzzy rules. In Proceedings of the 9th IEEE International Conference on Fuzzy Systems, pages 700--705, San Antonio, TX, USA, 2000. Y. Shi, R. Eberhart, and Y. Chen.

A fuzzy-set theoretic interpretation of linguistic hedges. Journal of Cybernetics, 2(2):4-34, 1972. 87. A. Zadeh. Outline of a new approach to the analysis of complex systems and desision processes. IEEE Transactions on Systems, Man, and Cybernetics, 3:28-44, 1973. 88. A. Zadeh. The concept of a linguistic variable and its application to approximate reasoning. Parts I, II and III. Information Science, 8, 8, 9:199-249, 301-357, 43-80, 1975. es Abstract. The chapter introduces a simple learning methodology, the cooperative rules (COR) one, that improves the accuracy of linguistic fuzzy models preserving the highest interpretability.

In B. BouchonMeunier, J. Gutierrez-Rios, L. R. Yager, editors, Techniques for constructing intelligent systems, volume 1, pages 321-334. Physica-Verlag, Heidelberg, Germany, 2002. 5. O. J. del Jesus, and F. Herrera. Genetic learning of fuzzy rule-based classification systems cooperating with fuzzy reasoning methods. International Joumal of Intelligent Systems, 13:1025-1053, 1998. 6. O. Cordon and F. Herrera. A proposal for improving the accuracy of linguistic modeling. IEEE Transactions on Fuzzy Systems, 8(3):335-344, 2000.

Download PDF sample

Accuracy Improvements in Linguistic Fuzzy Modeling by Jorge Casillas, O. Cordón, Francisco Herrera Triguero, Luis Magdalena


by Donald
4.3

Rated 4.31 of 5 – based on 19 votes