Isbn: 9783838327754 - grey optimization for uncertainty modeling in water resources systems: grey optimization models for environmental and water resources systems analysis (6 resultados)

Taschenbuch. Condición: Neu. Grey Optimization for Uncertainty Modeling in Water Resources Systems | Grey Optimization Models for Environmental and Water Resources Systems Analysis | Subhankar Karmakar | Taschenbuch | 252 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838327754 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Uncertainty due to randomness of hydraulic and hydrologic variables is modeled when probability distributions of the parameters may be estimated. Uncertainties due to imprecision in the management problem may be addressed by use of the fuzzy sets theory. In addition, some parameters in most of the water resources and environmental systems need to be addressed as grey parameters, due to inadequate data for an accurate estimation but with known extreme bounds of the parameter values. Such grey uncertainty in the model parameters can be addressed by representing them as interval grey numbers, a closed and bounded interval with known lower and upper bounds but unknown distribution information. Considerable research works are available on uncertainty modeling addressing stochastic nature of different input parameters, and uncertainty due to imprecision in various components of a water management problem. Most parameters involved in the optimization model are, however, also uncertain and such uncertainty has so far not been considered in different optimization models for water resources and environmental systems. This book aims to bridge this gap. 252 pp. Englisch.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Uncertainty due to randomness of hydraulic and hydrologic variables is modeled when probability distributions of the parameters may be estimated. Uncertainties due to imprecision in the management problem may be addressed by use of the fuzzy sets theory. In.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Uncertainty due to randomness of hydraulic and hydrologic variables is modeled when probability distributions of the parameters may be estimated. Uncertainties due to imprecision in the management problem may be addressed by use of the fuzzy sets theory. In addition, some parameters in most of the water resources and environmental systems need to be addressed as grey parameters, due to inadequate data for an accurate estimation but with known extreme bounds of the parameter values. Such grey uncertainty in the model parameters can be addressed by representing them as interval grey numbers, a closed and bounded interval with known lower and upper bounds but unknown distribution information. Considerable research works are available on uncertainty modeling addressing stochastic nature of different input parameters, and uncertainty due to imprecision in various components of a water management problem. Most parameters involved in the optimization model are, however, also uncertain and such uncertainty has so far not been considered in different optimization models for water resources and environmental systems. This book aims to bridge this gap.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 252 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Uncertainty due to randomness of hydraulic and hydrologic variables is modeled when probability distributions of the parameters may be estimated. Uncertainties due to imprecision in the management problem may be addressed by use of the fuzzy sets theory. In addition, some parameters in most of the water resources and environmental systems need to be addressed as grey parameters, due to inadequate data for an accurate estimation but with known extreme bounds of the parameter values. Such grey uncertainty in the model parameters can be addressed by representing them as interval grey numbers, a closed and bounded interval with known lower and upper bounds but unknown distribution information. Considerable research works are available on uncertainty modeling addressing stochastic nature of different input parameters, and uncertainty due to imprecision in various components of a water management problem. Most parameters involved in the optimization model are, however, also uncertain and such uncertainty has so far not been considered in different optimization models for water resources and environmental systems. This book aims to bridge this gap.…