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020 _a9783319623597
024 7 _a10.1007/978-3-319-62359-7
_2doi
040 _bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9.S63
_bS648 2018 EB
245 1 0 _aSoft Computing for Sustainability Science
_cedited by Carlos Cruz Corona.
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XVI, 348 páginas 83 ilustraciones, 32 ilustraciones a color.)
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922
_v358
490 0 _aEngineering (Springer-11647)
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 3 _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. .
988 _aEBSPRINGER_2018
650 7 _2embne
_9152594
_aLógica difusa
700 1 _aCruz Corona, Carlos.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_1http://viaf.org/viaf/88598818/
776 0 8 _iEdición impresa:
_z9783319623580
776 0 8 _iEdición impresa:
_z9783319623603
776 0 8 _iEdición impresa:
_z9783319873008
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-62359-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE