Forging New Frontiers: Fuzzy Pioneers IIMasoud Nikravesh, Lofti A. Zadeh Springer, 2007. okt. 30. - 433 oldal The 2005 BISC International Special Event-BISCSE’05 “Forging the frontiers” was held in the University of California, Berkeley, “Where fuzzy logic began”, from November 3-6, 2005. The successful applications of fuzzy logic and it’s rapid growth suggest that the impact of fuzzy logic will be felt increasingly in coming years. Fuzzy logic is likely to play an especially important role in science and engineering, but eventually its influence may extend much farther. In many ways, fuzzy logic represents a significant paradigm shift in the aims of computing - a shift which reflects the fact that the human mind, unlike present day computers, possesses a remarkable ability to store and process information which is pervasively imprecise, uncertain and lacking in categoricity. The chapters of the book are evolved from presentations made by selected participants at the meeting and organized in two books. The papers include reports from the different front of soft computing in various industries and address the problems of different fields of research in fuzzy logic, fuzzy set and soft computing. The book provides a collection of forty four (44) articles in two volumes. |
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... Fuzzy Logic and the Internet (FLINT). FLINT meetings (“Fuzzy Logic and the Internet”) have been organized by BISC ... SETS IN INFORMATION SYSTEMS. Fuzzy sets approaches have been applied in the database and information retrieval areas ...
... fuzzy logic, fuzzy set and soft computing. The book provides a collection of forty two (42) articles in two volumes. We would like to take this opportunity to thanks all the contributors and reviewers of the articles. We also wish to ...
... Fuzzy Association Rules for Query Refinement in Web Retrieval M. Delgado, M.J. Martín-Bautista, D.Sánchez, J.M. Serrano and M.A. Vila . . 351 Fuzzy Logic in a Postmodern Era Mory M. Ghomshei, John A. Meech and Reza Naderi ...
... Fuzzy in Morphic Computing Given the word “warm” and three agents that are named Carlo, Anna and Antonio (Fig. 7) ... fuzzy set μ(A, B) = S1 F1 (A, B) + S2 F2(A, B) + S3 F3(A, B) (5) 3 2 3 CARLO ANNA ANTONIO At the word “warm” that is ...
... fuzzy set for the Zadeh rule we have pus(X1, ..., Xp)(X1, ..., Xp)] = min[[1(X1, ..., Xp), L(X1, ..., Xp)]>0 pus(X1 ... logic. We remark that in (9) we introduce a new logic Morphic Computing: Quantum and Fields 17.
Tartalomjegyzék
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Qualitative Possibility Theory in Information Processing | 52 |
Fuzzy Modeling of Nonlinear Stochastic Systems by Learning from | 85 |
FISCRM FISS | 106 |
A New Approach for Contradictory Knowledge | 135 |
Fuzzy Cognitive Maps Structure for Medical Decision Support Systems | 151 |
Robust Statistics and Fuzzy Industrial Clustering | 219 |
Fuzzy Label Semantics for Data Mining | 237 |
Aggregating Subjective and Objective Measures of Web Search Quality | 269 |
Interpolative Realization of Boolean Algebra as a Consistent Frame | 294 |
Systematic Design of a Stable Type2 Fuzzy Logic Controller | 319 |
Soft Computing for Intelligent Reservoir Characterization and Decision | 332 |
Fuzzy Association Rules for Query Refinement in Web Retrieval | 351 |
Implementation of Fuzzy Set Theory in the Field of Energy Processes | 377 |
FuzzyNeuro Systems for Local and Personalized Modelling | 175 |
Dynamic Simulation of a Supply Chain with and without Flexibility | 198 |
Using NTH Dimensional Fuzzy Logic for Complexity Analysis Decision | 391 |
Más kiadások - Összes megtekintése
Forging New Frontiers: Fuzzy Pioneers II Masoud Nikravesh,Lofti A. Zadeh Nincs elérhető előnézet - 2007 |