000 | 03312nam a22005175i 4500 | ||
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001 | 978-3-642-35221-8 | ||
003 | DE-He213 | ||
005 | 20200421111651.0 | ||
007 | cr nn 008mamaa | ||
008 | 121214s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642352218 _9978-3-642-35221-8 |
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024 | 7 |
_a10.1007/978-3-642-35221-8 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aBede, Barnabas. _eauthor. |
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245 | 1 | 0 |
_aMathematics of Fuzzy Sets and Fuzzy Logic _h[electronic resource] / _cby Barnabas Bede. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
|
300 |
_aXII, 276 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 ; _v295 |
|
505 | 0 | _a1 Fuzzy Sets -- 2 Fuzzy Set-Theoretic Operations -- 3 Fuzzy Relations -- 4 Fuzzy numbers -- 5 Fuzzy Arithmetic -- 6 Fuzzy Inference -- 7 Single Input Single Output Fuzzy Systems -- 8 Fuzzy Analysis -- 9 Fuzzy Differential Equations -- 10 Extensions of Fuzzy Set Theory -- 11 Possibility Theory -- 12 Fuzzy Clustering -- 13 Fuzzy Transform -- 14 Arti cial Neural Networks and Neuro-Fuzzy Systems. | |
520 | _aThis book presents a mathematically-based introduction into the fascinating topic of Fuzzy Sets and Fuzzy Logic and might be used as textbook at both undergraduate and graduate levels and also as reference guide for mathematician, scientists or engineers who would like to get an insight into Fuzzy Logic. Fuzzy Sets have been introduced by Lotfi Zadeh in 1965 and since then, they have been used in many applications. As a consequence, there is a vast literature on the practical applications of fuzzy sets, while theory has a more modest coverage. The main purpose of the present book is to reduce this gap by providing a theoretical introduction into Fuzzy Sets based on Mathematical Analysis and Approximation Theory. Well-known applications, as for example fuzzy control, are also discussed in this book and placed on new ground, a theoretical foundation. Moreover, a few advanced chapters and several new results are included. These comprise, among others, a new systematic and constructive approach for fuzzy inference systems of Mamdani and Takagi-Sugeno types, that investigates their approximation capability by providing new error estimates. . | ||
650 | 0 | _aEngineering. | |
650 | 0 |
_aComputer science _xMathematics. |
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650 | 0 | _aGame theory. | |
650 | 0 | _aMathematical logic. | |
650 | 0 | _aComputational intelligence. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aMath Applications in Computer Science. |
650 | 2 | 4 | _aMathematical Logic and Foundations. |
650 | 2 | 4 | _aGame Theory, Economics, Social and Behav. Sciences. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642352201 |
830 | 0 |
_aStudies in Fuzziness and Soft Computing, _x1434-9922 ; _v295 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-35221-8 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c54420 _d54420 |