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001 978-3-319-62359-7
003 DE-He213
005 20220801221808.0
007 cr nn 008mamaa
008 170713s2018 sz | s |||| 0|eng d
020 _a9783319623597
_9978-3-319-62359-7
024 7 _a10.1007/978-3-319-62359-7
_2doi
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,
_x1860-0808 ;
_v358
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. .
650 0 _aComputational intelligence.
_97716
650 0 _aManagement.
_958029
650 0 _aArtificial intelligence.
_93407
650 0 _aMathematical optimization.
_94112
650 0 _aCalculus of variations.
_917382
650 0 _aSustainability.
_99200
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aManagement.
_958029
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aCalculus of Variations and Optimization.
_931596
650 2 4 _aSustainability.
_99200
700 1 _aCruz Corona, Carlos.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_958030
710 2 _aSpringerLink (Online service)
_958031
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,
_x1860-0808 ;
_v358
_958032
856 4 0 _uhttps://doi.org/10.1007/978-3-319-62359-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80061
_d80061