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Languages : en
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Theory and Decision Library
Author: [Theory and decision library / D ] ; Theory and decision library : TDL. Series D, System theory, knowledge engineering and problem solving
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Category : Game theory
Languages : en
Pages : 0
Book Description
Theory and decision library. Ser. D, System theory, knowledge engineering and problem solving
Author: Intelligent Decision Support
Author: Shi-Yu HuangPublisher: Springer Science & Business Media
ISBN: 9780792319238
Category : Computers
Languages : en
Pages : 502
Book Description
Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world. When the knowledge is gained by experience, it is induced from empirical data. The data structure, called an information system, is a record of objects described by a set of attributes. Knowledge is understood here as an ability to classify objects. Objects being in the same class are indiscernible by means of attributes and form elementary building blocks (granules, atoms). In particular, the granularity of knowledge causes that some notions cannot be expressed precisely within available knowledge and can be defined only vaguely. In the rough sets theory created by Z. Pawlak each imprecise concept is replaced by a pair of precise concepts called its lower and upper approximation. These approximations are fundamental tools and reasoning about knowledge. The rough sets philosophy turned out to be a very effective, new tool with many successful real-life applications to its credit. It is worthwhile stressing that no auxiliary assumptions are needed about data, like probability or membership function values, which is its great advantage. The present book reveals a wide spectrum of applications of the rough set concept, giving the reader the flavor of, and insight into, the methodology of the newly developed disciplines. Although the book emphasizes applications, comparison with other related methods and further developments receive due attention.
Decision Theory and Decision Behaviour
Author: Anatol RapoportPublisher: Springer Science & Business Media
ISBN: 9401578400
Category : Business & Economics
Languages : en
Pages : 439
Book Description
This book presents the content of a year's course in decision processes for third and fourth year students given at the University of Toronto. A principal theme of the book is the relationship between normative and descriptive decision theory. The distinction between the two approaches is not clear to everyone, yet it is of great importance. Normative decision theory addresses itself to the question of how people ought to make decisions in various types of situations, if they wish to be regarded (or to regard themselves) as 'rational'. Descriptive decision theory purports to describe how people actually make decisions in a variety of situations. Normative decision theory is much more formalized than descriptive theory. Especially in its advanced branches, normative theory makes use of mathematicallanguage, mode of discourse, and concepts. For this reason, the definitions of terms encountered in normative decision theory are precise, and its deductions are rigorous. Like the terms and assertions of other branches of mathematics, those of mathematically formalized decision theory need not refer to anything in the 'real', i. e. the observable, world. The terms and assertions can be interpreted in the context of models of real li fe situations, but the verisimilitude of the models is not important. They are meant to capture only the essentials of adecision situation, which in reallife may be obscured by complex details and ambiguities. It is these details and ambiguities, however, that may be crucial in determining the outcomes of the decisions.
A Short Course on Functional Equations
Author: J. AczélPublisher: Springer Science & Business Media
ISBN: 9400937490
Category : Mathematics
Languages : en
Pages : 175
Book Description
Recently I taught short courses on functional equations at several universities (Barcelona, Bern, Graz, Hamburg, Milan, Waterloo). My aim was to introduce the most important equations and methods of solution through actual (not artifi cial) applications which were recent and with which I had something to do. Most of them happened to be related to the social or behavioral sciences. All were originally answers to questions posed by specialists in the respective applied fields. Here I give a somewhat extended version of these lectures, with more recent results and applications included. As previous knowledge just the basic facts of calculus and algebra are supposed. Parts where somewhat more (measure theory) is needed and sketches of lengthier calcula tions are set in fine print. I am grateful to Drs. J. Baker (Waterloo, Ont.), W. Forg-Rob (Innsbruck, Austria) and C. Wagner (Knoxville, Tenn.) for critical remarks and to Mrs. Brenda Law for care ful computer-typing of the manuscript (in several versions). A note on numbering of statements and references: The numbering of Lemmata, Propositions, Theorems, Corollaries and (separately) formulae starts anew in each section. If quoted in another section, the section number is added, e.g. (2.10) or Theorem 1.2. References are quoted by the last names of the authors and the last two digits of the year, e.g. Daroczy-Losonczi [671. 1 1. An aggregation theorem for allocation problems. Cauchy equation for single-and multiplace functions. Two extension theorems.
Historical Information Science
Author: Lawrence J. McCrankPublisher: Information Today, Inc.
ISBN: 9781573870719
Category : Computers
Languages : en
Pages : 1216
Book Description
Historical Information Science is an extensive review and bibliographic essay, backed by almost 6,000 citations, detailing developments in information technology since the advent of personal computers and the convergence of several social science and humanities disciplines in historical computing. Its focus is on the access, preservation, and analysis of historical information (primarily in electronic form) and the relationships between new methodology and instructional media, techniques, and research trends in library special collections, digital libraries, data archives, and museums.
Risk, Decision and Rationality
Author: Bertrand MunierPublisher: Springer Science & Business Media
ISBN: 940094019X
Category : Business & Economics
Languages : en
Pages : 694
Book Description
Decision Theory has considerably developed in the late 1970's and the 1980's. The evolution has been so fast and far-r2aching that it has become increasingly difficult to keep track of the new state of the art. After a decade of new contributions, there was a need for an overview' of the field. This book is intended to fill the gap. The reader will find here thirty~nine selected papers which were given at FUR-III, the third international confe rence on the Foundations and applications of Utility, Risk and decision theories, held in Aix-en-Provence in June 1986. An introductory chapter will provide an overview of the main questions raised on the subject since the 17th Century and more particularly so in the last thirty years, as well as some elementary information on the experimental and theoretical results obtained. It is thus hoped that any reader with some basic background in either Economics, Hanagement or Operations Research will be able to read profitably the thirty-nine other chapters. Psychologists, Sociologists, Social Philosophers and other specialists of the social sciences will also read this book with interest, as will high-level practitioners of decision~making and advanced students in one of the abovementioned fields. An expository survey of this volume will be found at the end of the introductory chapter, so that any of the seven parts of the book can be put by the reader in due perspective.
Multiple Criteria Decision Analysis in Regional Planning
Author: Fumiko SeoPublisher: Springer Science & Business Media
ISBN: 9400940351
Category : Business & Economics
Languages : en
Pages : 551
Book Description
This book is devoted to presenting theoretical fundamentals for the methods of multiple criteria decision making (MCDM) in the social sciences with particular intent to their applicability to real-world decision making. The main characteristics of the complex problems facing humans in the world today are multidimensional and have multiple objecti ves; they are large-scale, and have nonconimensura te and conflicting objectives, such as economic, environmental, societal, technical, and aesthetic ones. The authors intend to establish basic concepts for treating these complex problems and to present methodological discussions for MCDM with some applications to administrative, or regional, planning. MCDM is composed of two phases: analytical and judgmental. In this book, we intend to consolidate these two phases and to present integrated methodologies for manipulating them with particular interest in managerial decision making, which has not yet been properly treated in spite of its urgent necessi ty. Al though a number of books in MCDM fields have already been published in recent years, most of them have mainly trea ted one aspect of MCDM. Our work specifically intends to trea t the methodology in unified systems and to construct a conceptual structure with special regards to the intrinsic properties of MCDM and its "economic meanings" from the social scientific point of view.
Fuzzy Decision Procedures with Binary Relations
Author: Leonid KitainikPublisher: Springer Science & Business Media
ISBN: 9401119600
Category : Mathematics
Languages : en
Pages : 272
Book Description
In decision theory there are basically two appr~hes to the modeling of individual choice: one is based on an absolute representation of preferences leading to a ntDnerical expression of preference intensity. This is utility theory. Another approach is based on binary relations that encode pairwise preference. While the former has mainly blossomed in the Anglo-Saxon academic world, the latter is mostly advocated in continental Europe, including Russia. The advantage of the utility theory approach is that it integrates uncertainty about the state of nature, that may affect the consequences of decision. Then, the problems of choice and ranking from the knowledge of preferences become trivial once the utility function is known. In the case of the relational approach, the model does not explicitly accounts for uncertainty, hence it looks less sophisticated. On the other hand it is more descriptive than normative in the first stand because it takes the pairwise preference pattern expressed by the decision-maker as it is and tries to make the best out of it. Especially the preference relation is not supposed to have any property. The main problem with the utility theory approach is the gap between what decision-makers are and can express, and what the theory would like them to be and to be capable of expressing. With the relational approach this gap does not exist, but the main difficulty is now to build up convincing choice rules and ranking rules that may help the decision process.