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001 978-3-319-41618-2
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008 160730s2017 sz | s |||| 0|eng d
020 _a9783319416182
_9978-3-319-41618-2
024 7 _a10.1007/978-3-319-41618-2
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aBozhenyuk, Alexander Vitalievich.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_942284
245 1 0 _aFlows in Networks Under Fuzzy Conditions
_h[electronic resource] /
_cby Alexander Vitalievich Bozhenyuk, Evgeniya Michailovna Gerasimenko, Janusz Kacprzyk, Igor Naymovich Rozenberg.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aVIII, 168 p. 115 illus.
_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,
_x1860-0808 ;
_v346
505 0 _aIntroduction -- Flow Tasks In Networks In Crisp Conditions -- Maximum And Minimum Cost Flow Finding In Networks In Fuzzy Conditions -- Flow Tasks Solving In Dynamic Networks With Fuzzy Lower, Upper Flow Bounds And Transmission Costs.
520 _aThis book offers a comprehensive introduction to fuzzy methods for solving flow tasks in both transportation and networks. It analyzes the problems of minimum cost and maximum flow finding with fuzzy nonzero lower flow bounds, and describes solutions to minimum cost flow finding in a network with fuzzy arc capacities and transmission costs. After a concise introduction to flow theory and tasks, the book analyzes two important problems. The first is related to determining the maximum volume for cargo transportation in the presence of uncertain network parameters, such as environmental changes, measurement errors and repair work on the roads. These parameters are represented here as fuzzy triangular, trapezoidal numbers and intervals. The second problem concerns static and dynamic flow finding in networks under fuzzy conditions, and an effective method that takes into account the network’s transit parameters is presented here. All in all, the book provides readers with a practical reference guide to state-of-the art fuzzy methods for solving flow tasks and offers a valuable resource for all researchers and postgraduate students in the fields of network theory, fuzzy models and decision-making. .
650 0 _aComputational intelligence.
_97716
650 0 _aTransportation engineering.
_93560
650 0 _aTraffic engineering.
_915334
650 0 _aOperations research.
_912218
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aTransportation Technology and Traffic Engineering.
_932448
650 2 4 _aOperations Research and Decision Theory.
_931599
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aGerasimenko, Evgeniya Michailovna.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_942285
700 1 _aKacprzyk, Janusz.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_942286
700 1 _aRozenberg, Igor Naymovich.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_942287
710 2 _aSpringerLink (Online service)
_942288
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319416175
776 0 8 _iPrinted edition:
_z9783319416199
776 0 8 _iPrinted edition:
_z9783319823980
830 0 _aStudies in Fuzziness and Soft Computing,
_x1860-0808 ;
_v346
_942289
856 4 0 _uhttps://doi.org/10.1007/978-3-319-41618-2
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77098
_d77098