This book introduces an efficient approach for treating Stochastic Multiobjective Programming Problem (SMP) through the probability maximization model, we introduced stochastic goals to consider the ambiguous judgments of the DM and proposed an interactive stochastic approach based on reference point satisficing method as a fusion of stochastic approaches and deterministic ones to derive a satisficing solution for the DM from the efficient solutions obtained. Also, this book introduces an optimization approach for solving Fuzzy Multiobjective Linear Programming Problem (FMOLP) problems with fuzzy goals in objective functions and constraints. This approach is based on the improvement of a compromise model for solving FMOLP by improving the objectives by altering their membership functions using the principle of the ARP Method, which guarantee the feasibility. This book presents a comparative study between the stochastic approach and the fuzzy approach for treating single and multiobjective objective linear/nonlinear programming problems.
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This book introduces an efficient approach for treating Stochastic Multiobjective Programming Problem (SMP) through the probability maximization model, we introduced stochastic goals to consider the ambiguous judgments of the DM and proposed an interactive stochastic approach based on reference point satisficing method as a fusion of stochastic approaches and deterministic ones to derive a satisficing solution for the DM from the efficient solutions obtained. Also, this book introduces an optimization approach for solving Fuzzy Multiobjective Linear Programming Problem (FMOLP) problems with fuzzy goals in objective functions and constraints. This approach is based on the improvement of a compromise model for solving FMOLP by improving the objectives by altering their membership functions using the principle of the ARP Method, which guarantee the feasibility. This book presents a comparative study between the stochastic approach and the fuzzy approach for treating single and multiobjective objective linear/nonlinear programming problems.
Taghreed A. Hassanin received the B.Sc. degree in electrical engineering from Menoufia University, Shebin El-Kom, Egypt, in 2000, M.Sc. and Ph.D degrees in engineering mathematics from Menoufia university, in 2007 and 2010, respectively. She is currently a Lecturer in the Basic Engineering Sciences, Faculty of Engineering, Menoufia university.
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hassanin Taghreed A.Taghreed A. Hassanin received the B.Sc. degree in electrical engineering from Menoufia University, Shebin El-Kom, Egypt, in 2000, M.Sc. and Ph.D degrees in engineering mathematics from Menoufia university, in 200. Bestandsnummer des Verkäufers 5160786
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces an efficient approach for treating Stochastic Multiobjective Programming Problem (SMP) through the probability maximization model, we introduced stochastic goals to consider the ambiguous judgments of the DM and proposed an interactive stochastic approach based on reference point satisficing method as a fusion of stochastic approaches and deterministic ones to derive a satisficing solution for the DM from the efficient solutions obtained. Also, this book introduces an optimization approach for solving Fuzzy Multiobjective Linear Programming Problem (FMOLP) problems with fuzzy goals in objective functions and constraints. This approach is based on the improvement of a compromise model for solving FMOLP by improving the objectives by altering their membership functions using the principle of the ARP Method, which guarantee the feasibility. This book presents a comparative study between the stochastic approach and the fuzzy approach for treating single and multiobjective objective linear/nonlinear programming problems. 180 pp. Englisch. Bestandsnummer des Verkäufers 9783659505300
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces an efficient approach for treating Stochastic Multiobjective Programming Problem (SMP) through the probability maximization model, we introduced stochastic goals to consider the ambiguous judgments of the DM and proposed an interactive stochastic approach based on reference point satisficing method as a fusion of stochastic approaches and deterministic ones to derive a satisficing solution for the DM from the efficient solutions obtained. Also, this book introduces an optimization approach for solving Fuzzy Multiobjective Linear Programming Problem (FMOLP) problems with fuzzy goals in objective functions and constraints. This approach is based on the improvement of a compromise model for solving FMOLP by improving the objectives by altering their membership functions using the principle of the ARP Method, which guarantee the feasibility. This book presents a comparative study between the stochastic approach and the fuzzy approach for treating single and multiobjective objective linear/nonlinear programming problems.Books on Demand GmbH, Überseering 33, 22297 Hamburg 180 pp. Englisch. Bestandsnummer des Verkäufers 9783659505300
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduces an efficient approach for treating Stochastic Multiobjective Programming Problem (SMP) through the probability maximization model, we introduced stochastic goals to consider the ambiguous judgments of the DM and proposed an interactive stochastic approach based on reference point satisficing method as a fusion of stochastic approaches and deterministic ones to derive a satisficing solution for the DM from the efficient solutions obtained. Also, this book introduces an optimization approach for solving Fuzzy Multiobjective Linear Programming Problem (FMOLP) problems with fuzzy goals in objective functions and constraints. This approach is based on the improvement of a compromise model for solving FMOLP by improving the objectives by altering their membership functions using the principle of the ARP Method, which guarantee the feasibility. This book presents a comparative study between the stochastic approach and the fuzzy approach for treating single and multiobjective objective linear/nonlinear programming problems. Bestandsnummer des Verkäufers 9783659505300
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