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010   $a3-642-29520-7
024 7 $a10.1007/978-3-642-29520-1
035   $a(CKB)3390000000030174
035   $a(SSID)ssj0000745795
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035   $a(PQKBTitleCode)TC0000745795
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035   $a(PQKB)11696374
035   $a(DE-He213)978-3-642-29520-1
035   $a(MiAaPQ)EBC3070967
035   $a(PPN)168314746
035   $a(EXLCZ)993390000000030174
100   $a20120905d2013      uy         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aAdvanced concepts in fuzzy logic and systems with membership uncertainty /$fJanusz T. Starczewski
205   $a1st ed. 2013.
210   $aBerlin ;$aNew York $cSpringer$dc2013
215   $a1 online resource (XII, 308 p.)
225 1 $aStudies in fuzziness and soft computing,$x1434-9922 ;$v284
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-642-29519-3 
320   $aIncludes bibliographical references and index.
327   $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.
330   $aThis book generalizes fuzzy logic systems for different types of uncertainty, including - semantic ambiguity resulting from limited perception or lack of knowledge about exact membership functions - lack of attributes or granularity arising from discretization of real data - imprecise description of membership functions - vagueness perceived as fuzzification of conditional attributes. Consequently, the membership uncertainty can be modeled by combining methods of conventional and type-2 fuzzy logic, rough set theory and possibility theory.            In particular, this book provides a number of formulae for implementing the operation extended on fuzzy-valued fuzzy sets and presents some basic structures of generalized uncertain fuzzy logic systems, as well as introduces several of methods to generate fuzzy membership uncertainty. It is desirable as a reference book for under-graduates in higher education, master and doctor graduates in the courses of computer science, computational intelligence, or fuzzy control and classification, and is especially dedicated to researchers and practitioners in industry.  .
410  0$aStudies in fuzziness and soft computing ;$vv. 284.
606   $aFuzzy sets
606   $aUncertainty (Information theory)
606   $aFuzzy logic
615  0$aFuzzy sets.
615  0$aUncertainty (Information theory)
615  0$aFuzzy logic.
676   $a511.3/223
700   $aStarczewski$b Janusz T$01065566
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910437916803321
996   $aAdvanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty$92546741
997   $aUNINA