000 | 03747nam a22005535i 4500 | ||
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001 | 978-3-540-79864-4 | ||
003 | DE-He213 | ||
005 | 20161121230549.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2008 gw | s |||| 0|eng d | ||
020 |
_a9783540798644 _9978-3-540-79864-4 |
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024 | 7 |
_a10.1007/978-3-540-79864-4 _2doi |
|
050 | 4 | _aQA75.5-76.95 | |
072 | 7 |
_aUY _2bicssc |
|
072 | 7 |
_aUYA _2bicssc |
|
072 | 7 |
_aCOM014000 _2bisacsh |
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072 | 7 |
_aCOM031000 _2bisacsh |
|
082 | 0 | 4 |
_a004.0151 _223 |
100 | 1 |
_aApolloni, Bruno. _eauthor. |
|
245 | 1 | 4 |
_aThe Puzzle of Granular Computing _h[electronic resource] / _cby Bruno Apolloni, Witold Pedrycz, Simone Bassis, Dario Malchiodi. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008. |
|
300 |
_aXVIII, 495 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v138 |
|
505 | 0 | _aThe General Framework -- Granule Formation Around Data -- I: Algorithmic Inference -- Modeling Samples -- Inferring from Samples -- II: The Development of Fuzzy Sets -- Construction of Information Granules: From Data and Perceptions to Information Granules -- Estimating Fuzzy Sets -- III: Expanding Granula into Boolean Functions -- The Clustering Problem -- Suitably Representing Data -- IV: Directing Populations -- The Main Paradigms of Social Computation -- If also Ants Are Able... -- V: Granular Constructs -- Granular Constructs -- Identifying Fuzzy Rules -- A Conceptual Synthesis -- Knowledge Engineering. | |
520 | _aRem tene, verba sequentur (Gaius J. Victor, Rome VI century b.c.) The ultimate goal of this book is to bring the fundamental issues of information granularity, inference tools and problem solving procedures into a coherent, unified, and fully operational framework. The objective is to offer the reader a comprehensive, self-contained, and uniform exposure to the subject.The strategy is to isolate some fundamental bricks of Computational Intelligence in terms of key problems and methods, and discuss their implementation and underlying rationale within a well structured and rigorous conceptual framework as well as carefully related to various application facets. The main assumption is that a deep understanding of the key problems will allow the reader to compose into a meaningful mosaic the puzzle pieces represented by the immense variety of approaches present in the literature and in the computational practice. All in all, the main approach advocated in the monograph consists of a sequence of steps offering solid conceptual fundamentals, presenting a carefully selected collection of design methodologies, discussing a wealth of development guidelines, and exemplifying them with a pertinent, accurately selected illustrative material. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aSoftware engineering. | |
650 | 0 | _aComputers. | |
650 | 0 | _aApplied mathematics. | |
650 | 0 | _aEngineering mathematics. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aTheory of Computation. |
650 | 2 | 4 | _aAppl.Mathematics/Computational Methods of Engineering. |
650 | 2 | 4 | _aSoftware Engineering. |
700 | 1 |
_aPedrycz, Witold. _eauthor. |
|
700 | 1 |
_aBassis, Simone. _eauthor. |
|
700 | 1 |
_aMalchiodi, Dario. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540798637 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v138 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-540-79864-4 |
912 | _aZDB-2-ENG | ||
950 | _aEngineering (Springer-11647) | ||
999 |
_c500640 _d500640 |