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Multi-Objective Stochastic Programming in Fuzzy Environments, Animesh Biswas, Arnab Kumar De


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Автор: Animesh Biswas, Arnab Kumar De
Название:  Multi-Objective Stochastic Programming in Fuzzy Environments
ISBN: 9781522592969
Издательство: Mare Nostrum (Eurospan)
Классификация:




ISBN-10: 1522592962
Обложка/Формат: Paperback
Страницы: 440
Вес: 0.76 кг.
Дата издания: 30.01.2019
Серия: Mathematics
Язык: English
Размер: 254 x 178 x 23
Читательская аудитория: Professional and scholarly
Ключевые слова: Computing & information technology,Stochastics,Fuzzy set theory,Neural networks & fuzzy systems
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Поставляется из: Англии
Описание: It is frequently observed that most decision-making problems involve several objectives, and the aim of the decision makers is to find the best decision by fulfilling the aspiration levels of all the objectives. Multi-objective decision making is especially suitable for the design and planning steps and allows a decision maker to achieve the optimal or aspired goals by considering the various interactions of the given constraints. Multi-Objective Stochastic Programming in Fuzzy Environments discusses optimization problems with fuzzy random variables following several types of probability distributions and different types of fuzzy numbers with different defuzzification processes in probabilistic situations. The content within this publication examines such topics as waste management, agricultural systems, and fuzzy set theory. It is designed for academicians, researchers, and students.


Linear and Multiobjective Programming with Fuzzy Stochastic Extensions

Автор: Masatoshi Sakawa; Hitoshi Yano; Ichiro Nishizaki
Название: Linear and Multiobjective Programming with Fuzzy Stochastic Extensions
ISBN: 1461493986 ISBN-13(EAN): 9781461493983
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This self-contained book offers comprehensive coverage of linear programming, multiobjective programming, fuzzy programming, stochastic programming, and fuzzy stochastic programming, with applications in purchase and transportation planning for food retailing.

Multi-Objective Stochastic Programming in Fuzzy Environments

Автор: Animesh Biswas, Arnab Kumar De
Название: Multi-Objective Stochastic Programming in Fuzzy Environments
ISBN: 1522583017 ISBN-13(EAN): 9781522583011
Издательство: Mare Nostrum (Eurospan)
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Цена: 31462.00 р.
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Описание: It is frequently observed that most decision-making problems involve several objectives, and the aim of the decision makers is to find the best decision by fulfilling the aspiration levels of all the objectives. Multi-objective decision making is especially suitable for the design and planning steps and allows a decision maker to achieve the optimal or aspired goals by considering the various interactions of the given constraints. Multi-Objective Stochastic Programming in Fuzzy Environments discusses optimization problems with fuzzy random variables following several types of probability distributions and different types of fuzzy numbers with different defuzzification processes in probabilistic situations. The content within this publication examines such topics as waste management, agricultural systems, and fuzzy set theory. It is designed for academicians, researchers, and students.

Multi-Objective Programming and Goal Programming

Автор: Mehrdad Tamiz
Название: Multi-Objective Programming and Goal Programming
ISBN: 3540606629 ISBN-13(EAN): 9783540606628
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Most real-life problems involve making decisions to optimally achieve a number of criteria while satisfying some hard or soft constraints. The book also contains a number of very interesting application papers which demonstrate theoretical modelling, analysing and solution of real-life problems.

BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems

Автор: Urmila Diwekar; Amy David
Название: BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems
ISBN: 1493922815 ISBN-13(EAN): 9781493922819
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book presents the details of the BONUS algorithm and its real world applications in areas like sensor placement in large scale drinking water networks, sensor placement in advanced power systems, water management in power systems, and capacity expansion of energy systems.

Stochastic Programming

Автор: Andr?s Pr?kopa
Название: Stochastic Programming
ISBN: 0792334825 ISBN-13(EAN): 9780792334828
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Stochastic programming - the science that provides us with tools to design and control stochastic systems with the aid of mathematical programming techniques - lies at the intersection of statistics and mathematical programming. This book offers a comprehensive introduction to the field and its basic mathematical tools.

Stochastic Two-Stage Programming

Автор: Karl Frauendorfer
Название: Stochastic Two-Stage Programming
ISBN: 3540560971 ISBN-13(EAN): 9783540560975
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Stochastic Programming offers models and methods fordecision problems wheresome of the data are uncertain. In these models the objective function isgiven as an integral, whose integrand depends on a randomvector, on its probability measure and on a decision.

Stochastic Linear Programming

Автор: Peter Kall; J?nos Mayer
Название: Stochastic Linear Programming
ISBN: 1461427452 ISBN-13(EAN): 9781461427452
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Authored by two of the field`s most prominent researchers, this new edition has been comprehensively updated, with new material on contemporary models and methods including stochastic DEA models, material on Sharpe-ratio, and asset liability management.

Stochastic Programming Methods and Technical Applications

Автор: Kurt Marti; Peter Kall
Название: Stochastic Programming Methods and Technical Applications
ISBN: 3540639241 ISBN-13(EAN): 9783540639244
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Optimization problems arising in practice usually contain several random parameters. The original problem with random parameters must be replaced by an appropriate deterministic substitute problem, and efficient numerical solution or approximation techniques have to be developed for those problems.

Stochastic Programming

Автор: Kurt Marti; Peter Kall
Название: Stochastic Programming
ISBN: 3540589961 ISBN-13(EAN): 9783540589969
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Proceedings of the 2nd GAMM/IFIP-Workshop on "Stochastic Optimization:Numerical Methods and Technical Applications" held at the Federal Armed Forces University, Munich, Neubiberg/Munchen, Germany, June 15-17, 1993

Stochastic Programming

Автор: Willem K. Klein Haneveld; Maarten H. van der Vlerk
Название: Stochastic Programming
ISBN: 3030292185 ISBN-13(EAN): 9783030292188
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This book provides an essential introduction to Stochastic Programming, especially intended for graduate students. The book begins by exploring a linear programming problem with random parameters, representing a decision problem under uncertainty. Several models for this problem are presented, including the main ones used in Stochastic Programming: recourse models and chance constraint models. The book not only discusses the theoretical properties of these models and algorithms for solving them, but also explains the intrinsic differences between the models. In the book’s closing section, several case studies are presented, helping students apply the theory covered to practical problems.The book is based on lecture notes developed for an Econometrics and Operations Research course for master students at the University of Groningen, the Netherlands - the longest-standing Stochastic Programming course worldwide.

Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search

Автор: David L. Woodruff
Название: Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search
ISBN: 1441950230 ISBN-13(EAN): 9781441950239
Издательство: Springer
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Цена: 29209.00 р.
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Описание: Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities.

Qualitative Investment Decision-Making Methods under Hesitant Fuzzy Environments

Автор: Wei Zhou; Zeshui Xu
Название: Qualitative Investment Decision-Making Methods under Hesitant Fuzzy Environments
ISBN: 3030113485 ISBN-13(EAN): 9783030113483
Издательство: Springer
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Цена: 13974.00 р.
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Описание:

This book describes five qualitative investment decision-making methods based on the hesitant fuzzy information. They are: (1) the investment decision-making method based on the asymmetric hesitant fuzzy sigmoid preference relations, (2) the investment decision-making method based on the hesitant fuzzy trade-off and portfolio selection, (3) the investment decision-making method based on the hesitant fuzzy preference envelopment analysis, (4) the investment decision-making method based on the hesitant fuzzy peer-evaluation and strategy fusion, and (5) the investment decision-making method based on the EHVaR measurement and tail analysis.

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