Grey Optimization for Uncertainty Modeling in Water Resources Systems: Grey Optimization Models for Environmental and Water Resources Systems Analysis - Couverture souple

Karmakar, Subhankar

 
9783838327754: Grey Optimization for Uncertainty Modeling in Water Resources Systems: Grey Optimization Models for Environmental and Water Resources Systems Analysis
Couverture souple
ISBN 10 : 3838327756 ISBN 13 : 9783838327754
Editeur : LAP Lambert Academic Publishing, 2009

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP Lambert Academic Publishing
Date d'édition
2009
Langue
anglais
ISBN 10 
3838327756
ISBN 13 
9783838327754
Reliure
Broché
Nombre de pages
252
Coordonnées du fabricant
non disponible
Personne responsable
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