04545nam 22007095 450 991029987340332120200702182849.03-319-62359-110.1007/978-3-319-62359-7(CKB)4340000000062811(DE-He213)978-3-319-62359-7(MiAaPQ)EBC6284952(MiAaPQ)EBC5594627(Au-PeEL)EBL5594627(OCoLC)1076264626(PPN)203668987(EXLCZ)99434000000006281120170713d2018 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierSoft Computing for Sustainability Science /edited by Carlos Cruz Corona1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (XVI, 348 p. 83 illus., 32 illus. in color.)Studies in Fuzziness and Soft Computing,1434-9922 ;3583-319-62358-3 Includes bibliographical references.Soft 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. .This 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. .Studies in Fuzziness and Soft Computing,1434-9922 ;358Computational intelligenceIndustrial management—Environmental aspectsArtificial intelligenceCalculus of variationsSustainable developmentComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Sustainability Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/515040Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Calculus of Variations and Optimal Control; Optimizationhttps://scigraph.springernature.com/ontologies/product-market-codes/M26016Sustainable Developmenthttps://scigraph.springernature.com/ontologies/product-market-codes/U34000Computational intelligence.Industrial management—Environmental aspects.Artificial intelligence.Calculus of variations.Sustainable development.Computational Intelligence.Sustainability Management.Artificial Intelligence.Calculus of Variations and Optimal Control; Optimization.Sustainable Development.006.3Cruz Corona Carlosedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910299873403321Soft Computing for Sustainability Science2533465UNINA