000 04391nam a22006135i 4500
001 978-3-319-62359-7
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007 cr nn 008mamaa
008 170713s2018 gw | s |||| 0|eng d
020 _a9783319623597
_9978-3-319-62359-7
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aSoft Computing for Sustainability Science
_h[electronic resource] /
_cedited by Carlos Cruz Corona.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXVI, 348 p. 83 illus., 32 illus. in color.
_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,
_x1434-9922 ;
_v358
500 _aAcceso multiusuario
505 0 _aSoft Computing techniques and Sustainability Science, an introduction -- Vessels Fuel Consumption: a Data Analytics Perspective to Sustainability -- FuzzyCovering: a Spatial Decision Support System for solving fuzzy covering location problems -- A Fuzzy Location Problem based upon Georeferenced Data -- A review of the application to emergent subfields in viticulture of local reflectance and interactance spectroscopy combined with soft computing and multivariate analysis -- Consumer segmentation through multi-instance clustering time-series energy data from smart meters -- A multicriteria group decision model for ranking technology packages in agriculture -- A Linguistic 2-tuple based Environmental Impact Assessment for Maritime Port Projects: Application to Moa Port. .
520 _aThis book offers a timely snapshot of soft computing methodologies and their applications to various problems related to sustainability, including electric energy consumption; fault diagnosis; vessel fuel consumption; determining the best sites for new malls; maritime port projects; and ad-hoc vehicular networks. Further, it demonstrates how metaheuristics and machine learning methods, fuzzy linear programming, neural networks, computing with words, linguistic models and other soft computing methods can be efficiently used to solve real-world problems. Intended as a practice-oriented guide for students, researchers, and professionals working at the interface between computer science, industrial engineering, naval engineering, agriculture, and sustainable development / climate change research, it provides readers with a set of intelligent solutions, helping them answer a range of emerging questions related to sustainability. .
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aComputational intelligence.
650 0 _aIndustrial management-Environmental aspects.
650 0 _aArtificial intelligence.
650 0 _aCalculus of variations.
650 0 _aSustainable development.
650 1 4 _aComputational Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T11014
650 2 4 _aSustainability Management.
_0https://scigraph.springernature.com/ontologies/product-market-codes/515040
650 2 4 _aArtificial Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I21000
650 2 4 _aCalculus of Variations and Optimal Control; Optimization.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M26016
650 2 4 _aSustainable Development.
_0https://scigraph.springernature.com/ontologies/product-market-codes/U34000
700 1 _aCruz Corona, Carlos.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319623580
776 0 8 _iPrinted edition:
_z9783319623603
776 0 8 _iPrinted edition:
_z9783319873008
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v358
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-62359-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c244512
_d244511