000 | 03496nam a22005655i 4500 | ||
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001 | 978-3-031-39756-1 | ||
003 | DE-He213 | ||
005 | 20240207153641.0 | ||
007 | cr nn 008mamaa | ||
008 | 230820s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031397561 _9978-3-031-39756-1 |
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050 | 4 | _aQ342 | |
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_aUYQ _2bicssc |
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_aUYQ _2thema |
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_a006.3 _223 |
100 | 1 |
_aMathew, Sunil. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aWeighted and Fuzzy Graph Theory _h[electronic resource] / _cby Sunil Mathew, John N. Mordeson, M. Binu. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2023. |
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300 |
_aXVII, 216 p. 92 illus. _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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_atext file _bPDF _2rda |
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490 | 1 |
_aStudies in Fuzziness and Soft Computing, _x1860-0808 ; _v429 |
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500 | _aAcceso multiusuario | ||
505 | 0 | _aGraphs and Weighted Graphs -- Connectivity -- More on Connectivity -- Cycle Connectivity -- Distance and Convexity -- Degree Sequences and Saturation -- Intervals and Gates -- Weighted Graphs and Fuzzy Graphs -- Fuzzy Results from Crisp Results. | |
520 | _aOne of the most preeminent ways of applying mathematics in real-world scenario modeling involves graph theory. A graph can be undirected or directed depending on whether the pairwise relationships among objects are symmetric or not. Nevertheless, in many real-world situations, representing a set of complex relational objects as directed or undirected is not su¢ cient. Weighted graphs o§er a framework that helps to over come certain conceptual limitations. We show using the concept of an isomorphism that weighted graphs have a natural connection to fuzzy graphs. As we show in the book, this allows results to be carried back and forth between weighted graphs and fuzzy graphs. This idea is in keeping with the important paper by Klement and Mesiar that shows that many families of fuzzy sets are lattice isomorphic to each other. We also outline the important work of Head and Weinberger that show how results from ordinary mathematics can be carried over to fuzzy mathematics. We focus on the concepts connectivity, degree sequences and saturation, and intervals and gates in weighted graphs. | ||
541 |
_fUABC ; _cPerpetuidad |
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650 | 0 | _aComputational intelligence. | |
650 | 0 | _aGraph theory. | |
650 | 1 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aGraph Theory. |
700 | 1 |
_aMordeson, John N. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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700 | 1 |
_aBinu, M. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031397554 |
776 | 0 | 8 |
_iPrinted edition: _z9783031397578 |
776 | 0 | 8 |
_iPrinted edition: _z9783031397585 |
830 | 0 |
_aStudies in Fuzziness and Soft Computing, _x1860-0808 ; _v429 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-39756-1 |
912 | _aZDB-2-INR | ||
912 | _aZDB-2-SXIT | ||
942 | _cLIBRO_ELEC | ||
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_c262216 _d262215 |