Decision Making Process: Concepts and Methods by Denis Bouyssou, Didier Dubois, Henri Prade, Marc Pirlot

By Denis Bouyssou, Didier Dubois, Henri Prade, Marc Pirlot

This ebook offers an summary of the most tools and ends up in the formal research of the human decision-making approach, as outlined in a comparatively large feel. A key goal of the technique contained here's to aim to collapse limitations among a number of disciplines encompassed via this box, together with psychology, economics and laptop technology. these kinds of ways have contributed to development during this extremely important and much-studied subject long ago, yet none have proved enough to date to outline an entire realizing of the hugely advanced tactics and results. This publication presents the reader with state of the art insurance of the sector, basically forming a roadmap to the sector of selection analysis.

The first a part of the ebook is dedicated to uncomplicated recommendations and strategies for representing and fixing selection difficulties, starting from operational study to synthetic intelligence. Later chapters supply an in depth review of the decision-making technique less than stipulations of probability and uncertainty. ultimately, there are chapters masking a number of ways to multi-criteria decision-making. each one bankruptcy is written by means of specialists within the subject involved, and comprises an intensive bibliography for additional studying and reference.

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The authors of surveys proposed here are renowned contributors to the study of the questions covered in this volume. This volume also demonstrates that research on the use of formal methods for the study of decision problems is active in French-speaking countries. 1. Introduction Quite often I get asked what my job is. ’. Indeed, decision making is an activity that every person does every day. ’ [JPV 98]. g. ’ [OST 93]. During such decision processes we often ask for help, advice or support from friends, experts or consulting companies.

Should existing methods be used? who decides whether a decision support method belongs to the discipline? and, given a new From Decision Theory to Decision-aiding Methodology 11 method, how will it be legitimated to enter these boundaries? The difficulty in finding convincing answers to these questions highlighted the differences between diverse decision theories and their critics. This debate reached a conclusion only very recently; the British society finally modified its statutes in order to create the above mentioned directory in 2001.

The next two chapters consider computational issues for large decision-making problems, especially within the classical expected utility approach. In Chapter 13, Jean-Yves Jaffray surveys the theoretical background of Bayesian networks and influence diagrams. A Bayesian network is a concise representation of a large joint probability distribution on a Cartesian product of finite universes. Its merit is to highlight the local conditional independence properties between groups of variables via the so-called d-separation property.

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