000			01541nam a22001577a 4500
008			230831b ||||| |||| 00| 0 eng d
020			_a9783036531991
050			_aGE350 _b.K88 2022
100			_aKozlova, Mariia
245			_aSustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics / _cEditors by Mariia Kozlova, and Julian Scott Yeomans
260			_aBasel, Switzerland: _bMDPI, _c2022.
300			_a260 Pages; _c25 cm.
521			_aEffective 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.
650			_2Sustainability
942			_2lcc _cBK
999			_c5824 _d5824