000823214 000__ 03511cam\a2200469Ii\4500 000823214 001__ 823214 000823214 005__ 20230306144015.0 000823214 006__ m\\\\\o\\d\\\\\\\\ 000823214 007__ cr\cn\nnnunnun 000823214 008__ 170721s2018\\\\sz\a\\\\o\\\\\000\0\eng\d 000823214 019__ $$a999479726$$a1005138291$$a1011846336 000823214 020__ $$a9783319623597$$q(electronic book) 000823214 020__ $$a3319623591$$q(electronic book) 000823214 020__ $$z9783319623580 000823214 020__ $$z3319623583 000823214 0247_ $$a10.1007/978-3-319-62359-7$$2doi 000823214 035__ $$aSP(OCoLC)ocn994221976 000823214 035__ $$aSP(OCoLC)994221976$$z(OCoLC)999479726$$z(OCoLC)1005138291$$z(OCoLC)1011846336 000823214 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dOCLCF$$dNJR$$dYDX$$dCOO$$dAZU$$dUAB$$dU3W$$dCAUOI 000823214 049__ $$aISEA 000823214 050_4 $$aQA76.9.S63 000823214 08204 $$a006.3$$223 000823214 24500 $$aSoft computing for sustainability science /$$cCarlos Cruz Corona, editor. 000823214 264_1 $$aCham :$$bSpringer,$$c[2018]. 000823214 300__ $$a1 online resource (xvi, 348 pages) :$$billustrations. 000823214 336__ $$atext$$btxt$$2rdacontent 000823214 337__ $$acomputer$$bc$$2rdamedia 000823214 338__ $$aonline resource$$bcr$$2rdacarrier 000823214 347__ $$atext file$$bPDF$$2rda 000823214 4901_ $$aStudies in fuzziness and soft computing,$$x1434-9922 ;$$vvolume 358 000823214 5050_ $$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. . 000823214 506__ $$aAccess limited to authorized users. 000823214 520__ $$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. . 000823214 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 21, 2017). 000823214 650_0 $$aSoft computing. 000823214 7001_ $$aCruz-Corona, Carlos,$$d1963-$$eeditor. 000823214 77608 $$iPrint version: $$z9783319623580$$z3319623583$$w(OCoLC)989966411 000823214 830_0 $$aStudies in fuzziness and soft computing ;$$vv. 358.$$x1434-9922 000823214 852__ $$bebk 000823214 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-62359-7$$zOnline Access$$91397441.1 000823214 909CO $$ooai:library.usi.edu:823214$$pGLOBAL_SET 000823214 980__ $$aEBOOK 000823214 980__ $$aBIB 000823214 982__ $$aEbook 000823214 983__ $$aOnline 000823214 994__ $$a92$$bISE