LEADER 03780nam  22006735  450 
001 9910299586803321
005 20200703140331.0
010   $a3-319-71407-4
024 7 $a10.1007/978-3-319-71407-3
035   $a(CKB)4100000001381501
035   $a(DE-He213)978-3-319-71407-3
035   $a(MiAaPQ)EBC6300973
035   $a(MiAaPQ)EBC5577203
035   $a(Au-PeEL)EBL5577203
035   $a(OCoLC)1066186234
035   $a(PPN)222227974
035   $a(EXLCZ)994100000001381501
100   $a20171229d2018      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aFuzzy Graph Theory /$fby Sunil Mathew, John N. Mordeson, Davender S. Malik
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (XVII, 320 p. 171 illus.) 
225 1 $aStudies in Fuzziness and Soft Computing,$x1434-9922 ;$v363
311   $a3-319-71406-6 
327   $aFuzzy Sets and Relations -- Fuzzy Graphs -- Connectivity in Fuzzy Graphs -- More on Blocks in Fuzzy Graphs -- More on Connectivity and Distances -- Sequences, Saturation, Intervals and Gates in Fuzzy Graphs -- Interval-Valued Fuzzy Graphs -- Bipolar Fuzzy Graphs.
330   $aThis book provides a timely overview of fuzzy graph theory, laying the foundation for future applications in a broad range of areas. It introduces readers to fundamental theories, such as Craine?s work on fuzzy interval graphs, fuzzy analogs of Marczewski?s theorem, and the Gilmore and Hoffman characterization. It also introduces them to the Fulkerson and Gross characterization and Menger?s theorem, the applications of which will be discussed in a forthcoming book by the same authors. This book also discusses in detail important concepts such as connectivity, distance and saturation in fuzzy graphs. Thanks to the good balance between the basics of fuzzy graph theory and new findings obtained by the authors, the book offers an excellent reference guide for advanced undergraduate and graduate students in mathematics, engineering and computer science, and an inspiring read for all researchers interested in new developments in fuzzy logic and applied mathematics.
410  0$aStudies in Fuzziness and Soft Computing,$x1434-9922 ;$v363
606   $aComputational intelligence
606   $aGraph theory
606   $aArtificial intelligence
606   $aGame theory
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aGraph Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M29020
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aGame Theory, Economics, Social and Behav. Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M13011
615  0$aComputational intelligence.
615  0$aGraph theory.
615  0$aArtificial intelligence.
615  0$aGame theory.
615 14$aComputational Intelligence.
615 24$aGraph Theory.
615 24$aArtificial Intelligence.
615 24$aGame Theory, Economics, Social and Behav. Sciences.
676   $a511.5
700   $aMathew$b Sunil$4aut$4http://id.loc.gov/vocabulary/relators/aut$01061654
702   $aMordeson$b John N$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aMalik$b Davender S$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299586803321
996   $aFuzzy Graph Theory$92519483
997   $aUNINA