Some Recent Developments in Multiple Decision Theory PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Some Recent Developments in Multiple Decision Theory PDF full book. Access full book title Some Recent Developments in Multiple Decision Theory by Shanti Swarup Gupta. Download full books in PDF and EPUB format.

Some Recent Developments in Multiple Decision Theory

Some Recent Developments in Multiple Decision Theory PDF Author: Shanti Swarup Gupta
Publisher:
ISBN:
Category : Statistical decision
Languages : en
Pages : 15

Book Description
This paper surveys some recent developments in multiple decision (selection and ranking) theory. The spirit and philosophy underlying this approach to comparing k populations are discussed briefly. Criteria to construct optimal multipledecision procedures, which are based on some 'modifications' of decision theory, are discussed. The combination of the indifference zone and the subset selection approach into a general framework is described. (Author).

Some Recent Developments in Multiple Decision Theory

Some Recent Developments in Multiple Decision Theory PDF Author: Shanti Swarup Gupta
Publisher:
ISBN:
Category : Statistical decision
Languages : en
Pages : 15

Book Description
This paper surveys some recent developments in multiple decision (selection and ranking) theory. The spirit and philosophy underlying this approach to comparing k populations are discussed briefly. Criteria to construct optimal multipledecision procedures, which are based on some 'modifications' of decision theory, are discussed. The combination of the indifference zone and the subset selection approach into a general framework is described. (Author).

Multiple Statistical Decision Theory: Recent Developments

Multiple Statistical Decision Theory: Recent Developments PDF Author: S. S. Gupta
Publisher: Springer Science & Business Media
ISBN: 1461259258
Category : Mathematics
Languages : en
Pages : 113

Book Description
The theory and practice of decision making involves infinite or finite number of actions. The decision rules with a finite number of elements in the action space are the so-called multiple decision procedures. Several approaches to problems of multi ple decisions have been developed; in particular, the last decade has witnessed a phenomenal growth of this field. An important aspect of the recent contributions is the attempt by several authors to formalize these problems more in the framework of general decision theory. In this work, we have applied general decision theory to develop some modified principles which are reasonable for problems in this field. Our comments and contributions have been written in a positive spirt and, hopefully, these will an impact on the future direction of research in this field. Using the various viewpoints and frameworks, we have emphasized recent developments in the theory of selection and ranking ~Ihich, in our opinion, provides one of the main tools in this field. The growth of the theory of selection and ranking has kept apace with great vigor as is evidenced by the publication of two recent books, one by Gibbons, Olkin and Sobel (1977), and the other by Gupta and Panchapakesan (1979). An earlier monograph by Bechhofer, Kiefer and Sobel (1968) had also provided some very interest ing work in this field.

Multiple Statistical Decision Theory: Recent Developments

Multiple Statistical Decision Theory: Recent Developments PDF Author: S. S. Gupta
Publisher: Springer
ISBN: 9781461259268
Category : Mathematics
Languages : en
Pages : 104

Book Description
The theory and practice of decision making involves infinite or finite number of actions. The decision rules with a finite number of elements in the action space are the so-called multiple decision procedures. Several approaches to problems of multi ple decisions have been developed; in particular, the last decade has witnessed a phenomenal growth of this field. An important aspect of the recent contributions is the attempt by several authors to formalize these problems more in the framework of general decision theory. In this work, we have applied general decision theory to develop some modified principles which are reasonable for problems in this field. Our comments and contributions have been written in a positive spirt and, hopefully, these will an impact on the future direction of research in this field. Using the various viewpoints and frameworks, we have emphasized recent developments in the theory of selection and ranking ~Ihich, in our opinion, provides one of the main tools in this field. The growth of the theory of selection and ranking has kept apace with great vigor as is evidenced by the publication of two recent books, one by Gibbons, Olkin and Sobel (1977), and the other by Gupta and Panchapakesan (1979). An earlier monograph by Bechhofer, Kiefer and Sobel (1968) had also provided some very interest ing work in this field.

Multiple Statistical Decision Theory

Multiple Statistical Decision Theory PDF Author: Shanti Swarup Gupta
Publisher:
ISBN: 9783540905721
Category : Analyse séquentielle - Statistique mathématique
Languages : en
Pages : 104

Book Description
Some auxiliary results: monotonicity properties of probability distributions; Multiple decision theory: a general approach; Modified minimax decision procedures; Invariant decision procedures; Robust selection procedures: most economical multiple decision rules; Multiple decision procedures based on tests.

Trends in Multiple Criteria Decision Analysis

Trends in Multiple Criteria Decision Analysis PDF Author: Salvatore Greco
Publisher: Springer Science & Business Media
ISBN: 1441959041
Category : Business & Economics
Languages : en
Pages : 421

Book Description
Multiple Criteria Decision Making (MCDM) is the study of methods and procedures by which concerns about multiple conflicting criteria can be formally incorporated into the management planning process. A key area of research in OR/MS, MCDM is now being applied in many new areas, including GIS systems, AI, and group decision making. This volume is in effect the third in a series of Springer books by these editors (all in the ISOR series), and it brings all the latest developments in MCDM into focus. Looking at developments in the applications, methodologies and foundations of MCDM, it presents research from leaders in the field on such topics as Problem Structuring Methodologies; Measurement Theory and MCDA; Recent Developments in Evolutionary Multiobjective Optimization; Habitual Domains and Dynamic MCDM in Changeable Spaces; Stochastic Multicriteria Acceptability Analysis; and many more chapters.

Fuzzy Multi-Criteria Decision Making

Fuzzy Multi-Criteria Decision Making PDF Author: Cengiz Kahraman
Publisher: Springer Science & Business Media
ISBN: 0387768130
Category : Computers
Languages : en
Pages : 591

Book Description
This work examines all the fuzzy multicriteria methods recently developed, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, fuzzy multiobjective geometric programming, and more. Each of the 22 chapters includes practical applications along with new developments/results. This book may be used as a textbook in graduate operations research, industrial engineering, and economics courses. It will also be an excellent resource, providing new suggestions and directions for further research, for computer programmers, mathematicians, and scientists in a variety of disciplines where multicriteria decision making is needed.

Decision Theory and Decision Analysis: Trends and Challenges

Decision Theory and Decision Analysis: Trends and Challenges PDF Author: Sixto Ríos
Publisher: Springer Science & Business Media
ISBN: 9401113726
Category : Business & Economics
Languages : en
Pages : 295

Book Description
Decision Theory and Decision Analysis: Trends and Challenges is divided into three parts. The first part, overviews, provides state-of-the-art surveys of various aspects of decision analysis and utility theory. The second part, theory and foundations, includes theoretical contributions on decision-making under uncertainty, partial beliefs and preferences. The third section, applications, reflects the real possibilities of recent theoretical developments such as non-expected utility theories, multicriteria decision techniques, and how these improve our understanding of other areas including artificial intelligence, economics, and environmental studies.

Recent Developments in Multiple Comparison Procedures

Recent Developments in Multiple Comparison Procedures PDF Author: Yoav Benjamini
Publisher: IMS
ISBN: 9780940600638
Category : Mathematics
Languages : en
Pages : 168

Book Description


Advances in Decision Analysis

Advances in Decision Analysis PDF Author: Nadine Meskens
Publisher: Springer Science & Business Media
ISBN: 9401706476
Category : Mathematics
Languages : en
Pages : 208

Book Description
The present book fmds its roots in the International Conference on Methods and Applications of Multiple Criteria Decision Making held in Mons in May 1997. A small number of contributions to that conference were selected via a refereeing procedure and retained authors were requested to include in their final version their more recent results. This explains why some papers differ significantly from the original presentation. The introductory paper of Raynaud addresses the long range forecasts in Multiple Criteria Decision Making on the basis of a Delphi process that was run before and during the congress. In a second part, the French author explains how he and some of his partners could find the proof of an important conjecture : the iteration of a strongly monotonic choice function is not a strongly monotonic ranking function. The second part of the book covers methodological aspects of decision theory. The contribution of Bouyssou and Pirlot concerns the reformulation of classical conjoint measurement models that induce a complete and transitive preference binary relation on the set of alternatives which seem to be unrealistic when decision makers are asked to compare objects evaluated on several attributes. The authors propose to consider non transitive, non complete and non additive decomposable conjoint models. They define properties that characterize such models.

Portfolio Decision Analysis

Portfolio Decision Analysis PDF Author: Ahti Salo
Publisher: Springer Science & Business Media
ISBN: 1441999434
Category : Business & Economics
Languages : en
Pages : 410

Book Description
Portfolio Decision Analysis: Improved Methods for Resource Allocation provides an extensive, up-to-date coverage of decision analytic methods which help firms and public organizations allocate resources to 'lumpy' investment opportunities while explicitly recognizing relevant financial and non-financial evaluation criteria and the presence of alternative investment opportunities. In particular, it discusses the evolution of these methods, presents new methodological advances and illustrates their use across several application domains. The book offers a many-faceted treatment of portfolio decision analysis (PDA). Among other things, it (i) synthesizes the state-of-play in PDA, (ii) describes novel methodologies, (iii) fosters the deployment of these methodologies, and (iv) contributes to the strengthening of research on PDA. Portfolio problems are widely regarded as the single most important application context of decision analysis, and, with its extensive and unique coverage of these problems, this book is a much-needed addition to the literature. The book also presents innovative treatments of new methodological approaches and their uses in applications. The intended audience consists of practitioners and researchers who wish to gain a good understanding of portfolio decision analysis and insights into how PDA methods can be leveraged in different application contexts. The book can also be employed in courses at the post-graduate level.