Incomplete Information: Rough Set Analysis, Ewa Orlowska
Автор: Ewa Orlowska Название: Incomplete Information: Rough Set Analysis ISBN: 3790810495 ISBN-13(EAN): 9783790810493 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is an account of the current status of the basic theory, extensions and applications of rough sets. The book presents rough set formalisms and methods of modelling and handling incomplete information, and motivates their applicability to knowledge discovery and machine learning.
Автор: Vladimir S. Lerner Название: Information Systems Analysis and Modeling ISBN: 1461370981 ISBN-13(EAN): 9781461370987 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Informational Macrodynamics (IMD) presents the unified information systemic approach with common information language for modeling, analysis and optimization of a variety of interactive processes, such as physical, biological, economical, social, and informational, including human activities.
Автор: Masoud Nikravesh; Lofti A. Zadeh Название: Soft Computing for Information Processing and Analysis ISBN: 3642061818 ISBN-13(EAN): 9783642061813 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This carefully edited book has evolved from presentations made by the participants of a meeting entitled "Fuzzy Logic and the Internet: Enhancing the Power of the Internet", organized by the Berkeley Initiative in Soft Computing (BISC), University of California, Berkeley.
Описание: The approach presented in this book combines two aspects of generalizations of the noncooperative game as developed by Nash.
Автор: Stephane P. Demri; Ewa Orlowska Название: Incomplete Information: Structure, Inference, Complexity ISBN: 3642075401 ISBN-13(EAN): 9783642075407 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This monograph presents a systematic, exhaustive and up-to-date overview of formal methods and theories for data analysis and inference inspired by the concept of rough set. The formalisms developed are non-invasive in that only the actual information that is needed in the process of analysis without external sources of information being required.
Автор: Janos Fodor; Bernard De Baets; Patrice Perny Название: Preferences and Decisions under Incomplete Knowledge ISBN: 3790824747 ISBN-13(EAN): 9783790824742 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Nowadays, decision problems are pervaded with incomplete knowledge, i.e., imprecision and/or uncertain information, both in the problem description and in the preferential information.
Описание: In their review of the "Bayesian analysis of simultaneous equation systems", Dr ze and Richard (1983) - hereafter DR - express the following viewpoint about the present state of development of the Bayesian full information analysis of such sys- tems i) the method allows "a flexible specification of the prior density, including well defined noninformative prior measures"; ii) it yields "exact finite sample posterior and predictive densities". However, they call for further developments so that these densities can be eval- uated through 'numerical methods, using an integrated software packa e. To that end, they recommend the use of a Monte Carlo technique, since van Dijk and Kloek (1980) have demonstrated that "the integrations can be done and how they are done". In this monograph, we explain how we contribute to achieve the developments suggested by Dr ze and Richard. A basic idea is to use known properties of the porterior density of the param- eters of the structural form to design the importance functions, i. e. approximations of the posterior density, that are needed for organizing the integrations.
Автор: Tarja Joro; Pekka J. Korhonen Название: Extension of Data Envelopment Analysis with Preference Information ISBN: 1489975276 ISBN-13(EAN): 9781489975270 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an introduction to incorporating preference information in Data Envelopment Analysis (DEA) with a special emphasis in Value Efficiency Analysis. Some extensions are presented in Chapter 9, and in Chapter 10 Value Efficiency is extended to cover the case when a production possibility set is not convex.
Описание: We can distinguish between games which focus on strategic elements like games with incomplete information (see, for example, P`ng (1983), Samuelson (1982) and Schweizer (1989" and decision-theoretic models neglecting strategic elements (see, for example, Landes (1971) and Gould (1973".
Автор: Siegfried Berninghaus; Hans G. Seifert-Vogt Название: International Migration Under Incomplete Information ISBN: 3662027240 ISBN-13(EAN): 9783662027240 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It is the main purpose of the book to give a logically consistent foundation of migration decision making under incomplete information in a unified framework. Decision rules for migration are derived from a general model of Stochastic Dynamic Programming and the properties of temporary migration equilibria are discussed as well.
Автор: Janos Fodor; Bernard De Baets; Patrice Perny Название: Preferences and Decisions under Incomplete Knowledge ISBN: 3790813036 ISBN-13(EAN): 9783790813036 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Decision problems are pervaded with incomplete knowledge - imprecision and/or uncertain information, both in the problem description and in the preferential information. This volume addresses various theoretical and practical aspects related to the handling of this incompleteness.
Автор: J.A. Morales Название: Bayesian Full Information Structrual Analysis ISBN: 3540054170 ISBN-13(EAN): 9783540054177 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 1 1. Statement of the problem. Bayes' theorem provides a very powerful tool for statistical inference, especially when pooling information from different sources is appropriate. Thus, prior information resulting from economic theory and/or from previous (real or hypothetical) samples can be combined with the information embodied in new observations; and this operation can be performed formally, within a rigorous mathematical framework. To introduce the Bayesian analysis of the simultaneous equations model, we shall base our presentation in the very convenient exposition given by Dreze in his presidential adress to the . S' 2 C f Second World ongress 0 the Econometr1c oC1ety. The Bayesian method in statistics is usually presented as follows Consider the joint probability density function f(x.e) defined on the product space X x9, where X = {x} denotes the sample space, and e = {e} denotes the parameter space, If we decompose the joint density f(x, e) in a conditional density f(x/e) and a marginal lThe beginning of this section reviews some very well known proposi- tions of Bayesian analysis. Those who are familiar with the subject can skip this part, and start with p.5. 2J.H.Dreze. "Econometrics and Decision Theory." Presidential adress delivered at the Second World Congress of the Econometric Society.
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