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150601 ||| eng |
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|a 9783319196831
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| 100 |
1 |
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|a Tamir, Dan E.
|e [editor]
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| 245 |
0 |
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|a Fifty Years of Fuzzy Logic and its Applications
|h Elektronische Ressource
|c edited by Dan E. Tamir, Naphtali D. Rishe, Abraham Kandel
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| 250 |
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|a 1st ed. 2015
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2015, 2015
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| 300 |
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|a XIII, 684 p. 238 illus., 22 illus. in color
|b online resource
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| 505 |
0 |
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|a Fuzzy Logic in Speech Technology – Introductory and Overviewing Glimpses -- Towards theScientific Domestication of Imprecision -- Type 1 and Full Type 2 Fuzzy System Models.- Complex Fuzzy Sets and Complex Fuzzy Logic an Overview of Theory and Applications
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| 505 |
0 |
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|a Meta-Heuristic Optimization of a Fuzzy Character Recognizer -- Additive Fuzzy Systems as Generalized Probability Mixture Models -- Fuzzy Information Retrieval Systems: A Historical Perspective -- Fuzzy Information Retrieval Systems: A Historical Perspective Zadeh's Vision -- Handling Noise and Outliers in Fuzzy Clustering.- A Fuzzy-Based Approach to Survival Data Mining -- Knowledge Extraction from Support Vector Machines: A Fuzzy Logic Approach -- On Type-Reduction versus Direct Defuzzification for Type-2 Fuzzy Logic Systems -- On Fuzzy Theory for Econometrics.-m On Z-numbers and the Machine-mind for Natural Language Comprehension -- Evolutionary Reduction of Fuzzy Rule-Based Models -- Geospatial Uncertainty Representation: Fuzzy and Rough Set Approaches -- How to Efficiently Diagnose and Repair Fuzzy Database Queries that Fail -- Reformat, the Web, Similarity and Fuzziness -- The Genesis of Fuzzy Sets and Systems – Aspects in Science and Philosophy --
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| 505 |
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|a Toward a Restriction-Centered Theory of Truth and Meaning (RCT) -- Solution of The Knowledge Level Control Problem: The Principles of Fuzzy Logic Rules and Linguistic Variables -- Learning Systems with FUZZY -- Fuzzy Modifiers at the Core of Interpretable Fuzzy Systems.- Human and Machine Intelligence – between Fuzzy Logic and Daoist Thought -- Developing Fuzzy State Models as Markov Chain Models with Fuzzy Encoding.- Incremental Granular Fuzzy Modeling using Imprecise Data Streams -- Fuzzy Measures and Integrals: Recent Developments -- Important New Terms and Classifications in Uncertainty And Fuzzy Logic -- Formalization and Visualization of Kansei Information Based on Fuzzy Set Approach -- Cognitive Informatics: A Proper Framework for the Use of Fuzzy Dynamic Programming for the Modeling of Regional Development? -- On Discord Between Expected and Actual Developments in Applications of Fuzzy Logic During its First Fifty Years --
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| 653 |
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|a Computational intelligence
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Control and Systems Theory
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| 653 |
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|a Data mining
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| 653 |
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|a Computational Intelligence
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| 653 |
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|a Control engineering
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Data Mining and Knowledge Discovery
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| 700 |
1 |
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|a Rishe, Naphtali D.
|e [editor]
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| 700 |
1 |
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|a Kandel, Abraham
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Studies in Fuzziness and Soft Computing
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| 028 |
5 |
0 |
|a 10.1007/978-3-319-19683-1
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-319-19683-1?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 006.3
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| 520 |
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|a This book presents a comprehensive report on the evolution of Fuzzy Logic since its formulation in Lotfi Zadeh’s seminal paper on “fuzzy sets,” published in 1965. In addition, it features a stimulating sampling from the broad field of research and development inspired by Zadeh’s paper. The chapters, written by pioneers and prominent scholars in the field, show how fuzzy sets have been successfully applied to artificial intelligence, control theory, inference, and reasoning. The book also reports on theoretical issues; features recent applications of Fuzzy Logic in the fields of neural networks, clustering, data mining, and software testing; and highlights an important paradigm shift caused by Fuzzy Logic in the area of uncertainty management. Conceived by the editors as an academic celebration of the fifty years’ anniversary of the 1965 paper, this work is a must-have for students and researchers willing to get an inspiring picture of the potentialities, limitations, achievements and accomplishments of Fuzzy Logic-based systems
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