000 | 03070nam a22004935i 4500 | ||
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001 | 978-3-642-29520-1 | ||
003 | DE-He213 | ||
005 | 20200421111658.0 | ||
007 | cr nn 008mamaa | ||
008 | 120824s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642295201 _9978-3-642-29520-1 |
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024 | 7 |
_a10.1007/978-3-642-29520-1 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aStarczewski, Janusz T. _eauthor. |
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245 | 1 | 0 |
_aAdvanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty _h[electronic resource] / _cby Janusz T. Starczewski. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
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300 |
_aXII, 308 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 |
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490 | 1 |
_aStudies in Fuzziness and Soft Computing, _x1434-9922 ; _v284 |
|
505 | 0 | _aUncertainty in Fuzzy Sets -- Algebraic Operations on Fuzzy Valued Fuzzy Sets -- Defuzzification of Uncertain Fuzzy Sets -- Generalized Uncertain Fuzzy Logic Systems -- Uncertainty Generation in Uncertain Fuzzy Logic Systems -- Designing Uncertain Fuzzy Logic Systems. | |
520 | _aThis book generalizes fuzzy logic systems for different types of uncertainty, including - semantic ambiguity resulting from limited perception or lack of knowledge about exact membership functions - lack of attributes or granularity arising from discretization of real data - imprecise description of membership functions - vagueness perceived as fuzzification of conditional attributes. Consequently, the membership uncertainty can be modeled by combining methods of conventional and type-2 fuzzy logic, rough set theory and possibility theory. In particular, this book provides a number of formulae for implementing the operation extended on fuzzy-valued fuzzy sets and presents some basic structures of generalized uncertain fuzzy logic systems, as well as introduces several of methods to generate fuzzy membership uncertainty. It is desirable as a reference book for under-graduates in higher education, master and doctor graduates in the courses of computer science, computational intelligence, or fuzzy control and classification, and is especially dedicated to researchers and practitioners in industry. . | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aComputer simulation. | |
650 | 0 | _aComputational intelligence. | |
650 | 0 | _aEngineering design. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aSimulation and Modeling. |
650 | 2 | 4 | _aEngineering Design. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642295195 |
830 | 0 |
_aStudies in Fuzziness and Soft Computing, _x1434-9922 ; _v284 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-29520-1 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c54848 _d54848 |