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[null,"1.","Record Nr.",null,"UNINA9910557620403321"]
[null,null,"Autore",null,"Yeomans Julian Scott"]
[null,null,"Titolo",null,"Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics"]
[null,null,"Pubbl/distr/stampa",null,"Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022"]
[null,null,"Descrizione fisica",null,"1 electronic resource (248 p.)"]
[null,null,"Soggetti",null,"Research & information: general"]
[{"$nulls":4},"Mathematics & science"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Effective environmental decision-making is often challenging and complex, where final solutions frequently possess inherently subjective political and socio-economic components. Consequently, complex sustainability applications in the “real world” frequently employ computational decision-making approaches to construct solutions to problems containing numerous quantitative dimensions and considerable sources of uncertainty. This volume includes a number of such applied computational analytics papers that either create new decision-making methods or provide innovative implementations of existing methods for addressing a wide spectrum of sustainability applications, broadly defined. The disparate contributions all emphasize novel approaches of computational analytics as applied to environmental decision-making and sustainability analysis – be this on the side of optimization, simulation, modelling, computational solution procedures, visual analytics, and/or information technologies."]