Tools to Aid Environmental Decision Making, Virginia H. Dale; Mary R. English

Автор: Marugan, Alberto Pliego (consultant For Everis Spain And Ingenium Groups) Garcia Marquez, Fausto Pedro (senior Lecturer (with Tenure) At Uclm, Spain)
Название: Decision-making management
ISBN: 0128115408 ISBN-13(EAN): 9780128115404
Издательство: Elsevier Science
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Цена: 13298.00 р.
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Описание: Decision-Making Management: A Tutorial and Applications provides practical guidance for researchers seeking to optimizing business-critical decisions employing Logical Decision Trees thus saving time and money. The book focuses on decision-making and resource allocation across and between the manufacturing, product design and logistical functions. It demonstrates key results for each sector with diverse real-world case studies drawn primarily from EU projects. Theory is accompanied by relevant analysis techniques, with a progressional approach building from simple theory to complex and dynamic decisions with multiple data points, including big data and lot of data. Binary Decision Diagrams are presented as the operating approach for evaluating large Logical Decision Trees, helping readers identify Boolean equations for quantitative analysis of multifaceted problem sets. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements. The final objective is to optimize dynamic decisions with original approaches employing useful tools, including Big Data analysis. Extensive annexes provide useful supplementary information for readers to follow methods contained in the book.

Автор: Hassan Qudrat-Ullah; J. Michael Spector; Paal Davi
Название: Complex Decision Making
ISBN: 3540736646 ISBN-13(EAN): 9783540736646
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Reviews the principles underlying complex decision making, the handling of uncertainties in dynamic environments, and the various modeling approaches. Beginning with a discussion of the underlying concepts, theories and empirical evidence, this book gives you a range of tools and techniques for decision making in complex environments and systems.

Автор: Schick Frederic
Название: Making Choices: A Recasting of Decision Theory
ISBN: 0521588405 ISBN-13(EAN): 9780521588409
Издательство: Cambridge Academ
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Цена: 5384.00 р.
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Описание: This book, first published in 1997, is an introductory overview of decision theory. It is completely non-technical, without a single formula in the book. Written in a crisp and clear style it succinctly covers the full range of philosophical issues of rationality and decision theory, including game theory, social choice theory, prisoner`s dilemma and much else.

Автор: F.P. Hwang; Shu-Jen Chen; Ching-Lai Hwang
Название: Fuzzy Multiple Attribute Decision Making
ISBN: 3540549986 ISBN-13(EAN): 9783540549987
Издательство: Springer
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Цена: 18167.00 р.
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Описание: In this monograph, the literature on methods of fuzzy Multiple Attribute Decision Making (MADM) has been reviewed thoroughly and critically, and classified systematically. The basic concepts and algorithms from the classical MADM methods have been used in the development of the fuzzy MADM methods.

Автор: Stephen J. Guastello
Название: Cognitive Workload and Fatigue in Financial Decision Making
ISBN: 4431553118 ISBN-13(EAN): 9784431553113
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book presents new theory and empirical studies on the roles of cognitive workload and fatigue on repeated financial decisions.

Автор: Huchang Liao; Zeshui Xu
Название: Hesitant Fuzzy Decision Making Methodologies and Applications
ISBN: 9811032645 ISBN-13(EAN): 9789811032646
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Preface.- 1 Hesitant Fuzzy Set and Its Extensions.- 2 Novel Correlation and Entropy Measures for Hesitant Fuzzy Set.- 3 Multiple Criteria Decision Making with Hesitant Fuzzy Hybrid Weighted Aggregation Operators.- 4 Hesitant Fuzzy Multiple Criteria Decision Making with Complete Weight Information.- 5 Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weights.- 6 Decision Making with Hesitant Fuzzy Preference Relation.