LEADER 03568nam  22006495  450 
001 9910483057203321
005 20200630172127.0
010   $a3-030-32090-1
024 7 $a10.1007/978-3-030-32090-4
035   $a(CKB)4100000009362574
035   $a(DE-He213)978-3-030-32090-4
035   $a(MiAaPQ)EBC5941304
035   $a(PPN)243768826
035   $a(EXLCZ)994100000009362574
100   $a20190921d2020      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aInterval-Valued Intuitionistic Fuzzy Sets /$fby Krassimir T. Atanassov
205   $a1st ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (XI, 200 p. 69 illus., 1 illus. in color.) 
225 1 $aStudies in Fuzziness and Soft Computing,$x1434-9922 ;$v388
311   $a3-030-32089-8 
327   $aOn Brouwer?s Intuitionism and Intuitionistic Fuzziness -- On IVIFSs -- Relations and operations over IVIFSs -- Operators over IVIFSs -- Interval valued intuitionistic fuzzy pairs -- Applications of IVIFSs -- Conclusion and remarks on future research.
330   $aThe book offers a comprehensive survey of interval-valued intuitionistic fuzzy sets. It reports on cutting-edge research carried out by the founder of the intuitionistic fuzzy sets, Prof. Krassimir Atanassov, giving a special emphasis to the practical applications of this extension. A few interesting case studies, such as in the area of data mining, decision making and pattern recognition, among others, are discussed in detail. The book offers the first comprehensive guide on interval-valued intuitionistic fuzzy sets. By providing the readers with a thorough survey and important practical details, it is expected to support them in carrying out applied research and to encourage them to test the theory behind the sets for new advanced applications. The book is a valuable reference resource for graduate students and researchers alike.
410  0$aStudies in Fuzziness and Soft Computing,$x1434-9922 ;$v388
606   $aComputational intelligence
606   $aKnowledge representation (Information theory)
606   $aOperations research
606   $aManagement science
606   $aPattern perception
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aKnowledge based Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I21030
606   $aOperations Research, Management Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M26024
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
615  0$aComputational intelligence.
615  0$aKnowledge representation (Information theory)
615  0$aOperations research.
615  0$aManagement science.
615  0$aPattern perception.
615 14$aComputational Intelligence.
615 24$aKnowledge based Systems.
615 24$aOperations Research, Management Science.
615 24$aPattern Recognition.
676   $a511.322
676   $a511.3223
700   $aAtanassov$b Krassimir T$4aut$4http://id.loc.gov/vocabulary/relators/aut$0911826
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910483057203321
996   $aInterval-Valued Intuitionistic Fuzzy Sets$92845802
997   $aUNINA