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

Posted by

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

ISBN-10: 3540370587

ISBN-13: 9783540370581

ISBN-10: 3642057039

ISBN-13: 9783642057038

Fuzzy modeling often comes with contradictory standards: interpretability, that is the aptitude to precise the true procedure habit in a understandable method, and accuracy, that is the aptitude to faithfully symbolize the true approach. during this framework, the most vital components is linguistic fuzzy modeling, the place the legibility of the got version is the most goal. This activity is mostly built via linguistic (Mamdani) fuzzy rule-based platforms. An lively study region is orientated in the direction of using new ideas and constructions to increase the classical, inflexible linguistic fuzzy modeling with the most target of accelerating its precision measure. typically, this accuracy development has been performed with no contemplating the corresponding interpretability loss. at the moment, new developments were proposed attempting to safeguard the linguistic fuzzy version description energy in the course of the optimization approach. Written through major specialists within the box, this quantity collects a few consultant researcher that pursue this method.

Show description

Read Online or Download Accuracy Improvements in Linguistic Fuzzy Modeling PDF

Best combinatorics books

Download e-book for kindle: Combinatorial Physics by Ted Bastin

An essay within the conceptual foundations of physics. Its goal is to introduce what's known as a combinatorial procedure.

Get Descriptive Set Theory and the Structure of Sets of PDF

The authors current a few astounding connections that units of area of expertise for trigonometic sequence have with descriptive set idea. They current many new effects about the constitution of units of distinctiveness and contain suggestions to a few of the classical difficulties during this region. issues lined comprise symmetric ideal units and the answer to the Borel foundation challenge for U, the category of units of specialty.

Download e-book for iPad: Algorithms and Complexity, 2nd edition by Herbert S. Wilf

This ebook is an introductory textbook at the layout and research of algorithms. the writer makes use of a cautious choice of a couple of issues to demonstrate the instruments for set of rules research. Recursive algorithms are illustrated via Quicksort, FFT, quick matrix multiplications, and others. Algorithms linked to the community movement challenge are basic in lots of parts of graph connectivity, matching conception, and so on.

Stephen G. Simpson (ed.)'s Logic and Combinatorics: Proceedings PDF

Lately, a number of striking effects have proven that definite theorems of finite combinatorics are unprovable in sure logical platforms. those advancements were instrumental in stimulating examine in either parts, with the interface among common sense and combinatorics being specifically vital as a result of its relation to an important matters within the foundations of arithmetic that have been raised via the paintings of Kurt Godel.

Additional resources for Accuracy Improvements in Linguistic Fuzzy Modeling

Example text

IEEE Transactions on Fuzzy Systems, 8(2):212221,2000. 45. Y. Jin, W. von Seelen, and B. Sendhoff. On generat ing FC 3 fuzzy rule systems from data using evolution strategies. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, 29(4):829-845,1999. 46. L. Karr. Genetic algorithms for fuzzy controllers. AI Expert, 6(2):26-33, 1991. 47. F. Klawonn. Fuzzy sets and vague environments. Fuzzy Sets and Systems, 66:207-221, 1994. 48. K. KrishnaKumar and A. Satyadas. GA-optimized fuzzy controller for spacecraft attitude control.

Espinosa and J. Vandewalle. Constructing fuzzy models with linguistic integrity from numerical data-AFRELI algorithm. IEEE Transactions on Fuzzy Systems, 8(5):591-600, 2000. 12. A. Gonzalez and R. perez. A study about the inclusion of linguistic hedges in a fuzzy rule learning algorithm. International Joumal of Uncertainty, Fuzziness and Knowledge-Based Systems, 7(3):257-266, 1999. 13. F. Herrera, M. L. Verdegay. A learning process for fuzzy control rules using genetic algorithms. Fuzzy Sets and Systems, 100: 143-158, 1998.

Their improvements mainly consist of using different transition and update rules, introduc ing new components, or adding a local search phase [2,9,24]. To apply ACO algorithms to a specific problem, the five steps shown in Fig. 5 have to be performed. The following sections describe these aspects particularized to the COR methodology. 1. Problem representation: Interpret the problem to be solved as a graph or a similar structure easily traveled by ants. 2. Heuristic information: Define the way of assigning a heuristic preference to each choice that the ant has to take in each step to generate the solution.

Download PDF sample

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


by Christopher
4.0

Rated 4.38 of 5 – based on 22 votes