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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... given. Finally, we present Morphogenetic Fields in the neural network and Morphic Computing, Morphic Fields - concepts and Web search, and Agents [Resconi and Jain 2004] and fuzzy [Zadeh, 1965] in Morphic Computing. 2. The. Basis. for.
... Given the elementary field references H1 F | ! | H2 – | o | H3 - 22 For which we have the projection operators - T L.A–1 L.T || 0 Q1 = H1(H1' H1)T'H1 =| | - 0 0 O2 = H2(H2' H2). "H2" = | | Field X QX=[ (QI v Q2) A – Q3] X = Y Sources E ...
... given the reference (4) we have the constrain (5). Now for the input Input = (4) The output is (6) that is coherent or similar to the input. In fact we have that for because in input we have the property A 1 = 0, x2 > 0, x3 > 0, x4 - 0 ...
... Given the word “warm” and three agents that are named Carlo, Anna and Antonio (Fig. 7), we assume that any agent is a source for a Boolean fields in Fig. 8. The superposition of the three Boolean fields in Fig. 7 is the fuzzy set μ(A, B) ...
... given columns jj ∗ k can 22 ∗. be replaced by ∗. In this case, kii3 can be replaced by ∗. This will gives: • For example, on Pass 3, check if any of the rows given columns jj can be replaced by ∗. In this case, kii1 can be replaced ...
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 |