000 03070nam a22004935i 4500
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
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.
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.
300 _aXII, 308 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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