Soft Computing for Sustainability Science / / edited by Carlos Cruz Corona

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
• Edizione: 1st ed. 2018.
• Descrizione fisica: 1 online resource (XVI, 348 p. 83 illus., 32 illus. in color.)
• Disciplina: 006.3
• Soggetto topico: Computational 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
• Persona (resp. second.): Cruz CoronaCarlos
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: 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. .
• Sommario/riassunto: 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. .
• Titolo autorizzato: Soft Computing for Sustainability Science
• ISBN: 3-319-62359-1
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910299873403321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in Fuzziness and Soft Computing, . 1434-9922 ; ; 358