Multicriteria decision-aid by Philippe Vincke

Cover of: Multicriteria decision-aid | Philippe Vincke

Published by Wiley in Chichester, New York .

Written in English

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Subjects:

  • Decision-making -- Mathematical models.,
  • Operations research.

Edition Notes

Book details

StatementPhilippe Vincke ; translated from French by Marjorie Gassner ; foreword by Bernard Roy.
ContributionsGassner, Marjorie.
The Physical Object
Paginationxx,154p. ;
Number of Pages154
ID Numbers
Open LibraryOL21475208M
ISBN 100471931845

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Multicriteria Decision-aid is directed at graduates and postgraduates studying in the fields of management, operations research, decision analysis and all those who, in business and administration, wish to take part in decision-making through scientific by: Multicriteria Decision Aid and Artificial Intelligence: Covers all of the recent advances in intelligent decision making.

Includes a presentation of hybrid models and algorithms for preference modelling and optimisation by:   Multicriteria Decision-aid is directed at graduates and postgraduates studying in the fields of management, operations research, decision analysis and all those who, in business and administration, wish to take part in decision-making through scientific : Philippe Vincke.

This book covers a rich set of topics, including intelligent decision support technologies, data mining models for decision making, evidential reasoning, evolutionary multiobjective optimization, fuzzy modelling, as well as applications in management and engineering.

‎Multiple criteria decision aid (MCDA) methods are illustrated in this book through theoretical and computational techniques utilizing Python.

Existing methods are presented in detail with a step by step learning approach. Multiple criteria decision aid (MCDA) methods are illustrated in this book through theoretical and computational techniques utilizing Python.

Existing methods are presented in detail with a step by step learning approach. Theoretical background is given for TOPSIS, VIKOR, PROMETHEE, SIR, AHP, goal programming, and their variations.

This book covers a rich set of topics, including intelligent decision support technologies, data mining models for decision making, evidential reasoning, evolutionary multiobjective optimization, fuzzy modelling, as well as applications in management and engineering.

Multicriteria Decision Aid and Artificial Intelligence. He is the co-editor of the book, "Multiple Criteria Decision Analysis: State of the Art Surveys, Springer Science + Business Media, Inc, His main research interests are in the field of multicriteria decision aid, in the application of the rough set approach to decision analysis, in the axiomatic foundation of multicriteria methodology.

axiomatic results should be at the heart of such a science. Through them, we should Multicriteria decision-aid book able to enlighten and scientifically assist decision-making processes especially by: making that wh ich is objective stand out more c1early from that which is less objective; - separating robust from fragile conc1usions; - dissipating certain forms of misunderstanding in communication; - avoiding the.

The field of multiple criteria decision analysis (MCDA), also termed multiple criteria decision aid, or multiple criteria decision making (MCDM), has developed rapidly over the past quarter century and in the process a number of divergent schools of thought have emerged.

This can make it difficult for a new Multicriteria decision-aid book into the field to develop a comprehensive appreciation of the range of 4/5(2). This book provides a new point of view on the subject of business failure prediction, through the application of multicriteria analysis methods.

The aim of the book is to provide a review of the research in the area and to explore the adequacy of these methods to one of the most complex problems in the area of financial by: The field of multiple criteria decision analysis (MCDA), also termed multiple criteria decision aid, or multiple criteria decision making (MCDM), has developed rapidly over the past quarter century and in the process a number of divergent schools of.

This volume highlights recent applications of multiple-criteria decision-making (MCDM) models in the field of finance. Covering a wide range of MCDM approaches, including multiobjective optimization, goal programming, value-based models, outranking techniques, and fuzzy models, it provides researchers and practitioners with a set of MCDM methodologies and empirical.

The book discusses a new approach to the classification problem following the decision support orientation of multicriteria decision aid. The book reviews the existing research on the development of classification methods, investigating the corresponding model development procedures, and providing a thorough analysis of their performance both in Cited by: Multicriteria decision-aid.

In the sciences of operations research and decision theory, the study of multicriteria decision-aid has seen considerable development in the last ten years. The author provides a concise and rigorous presentation of the concepts and procedures of this method. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have been applied with considerable success to support decision making in a wide range of complex real-world problems.

The integration of MCDA and AI provides new capabilities relating to the structuring of complex decision problems in Manufacturer: Wiley-Blackwell. Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine).

Conflicting criteria are typical in evaluating options: cost or price is usually one of the main criteria, and. The book discusses a new approach to the classification problem following the decision support orientation of multicriteria decision aid.

The book reviews the existing research on the development of classification methods, investigating the corresponding model development procedures, and providing a thorough analysis of their performance both in experimental.

In the sciences of operations research and decision theory, the study of multicriteria decision--aid has seen considerable development in the last ten years. The author provides a concise and rigorous presentation of the concepts and procedures of this method. Multicriteria decision aid (MCDA), an advanced branch of operations research, provides financial decision makers and analysts with a wide range of methodologies well-suited for the complexity of modern financial decision by:   Decision-aid Philippe Vincke Université Libre de Bruxelles Over the past decade the discipline of multicriteria decision-aid has been extensively developed in the world of mathematics.

As its name indicates, multicriteria decision-aid aims to give decision-makers a tool which should enable them to advance in solving decision problems where several points of Author: Philippe Vincke. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have been applied with considerable success to support decision making in.

"This book discusses a new approach to the classification problem following the decision support orientation of multicriteria decision aid.

It reviews the existing research on the development of classification methods, investigating the corresponding model development procedures, and providing a thorough analysis of their performance both in experimental situations and real. As its name indicates, multicriteria decision-aid aims to give decision-makers a tool which should enable them to advance in solving decision problems where several points of view must be taken into account.

Written by one of the leading authorities in the field, this book provides a unique introduction to the foundations, models and methods of Format: Capa dura.

Multicriteria decision aid (MCD A), an adv anced branch of operations researc h, pro vides financial decision makers and analysts with a wide range of metho dologies well.

The European Working Group on Multiple Criteria Decision Aiding (also, EURO Working Group on Multicriteria Decision Aiding, EWG on Multicriteria Aid for Decisions, or EWG-MCDA) is a working group whose objective is to promote original research in the field of multicriteria decision aiding at the European level.

EWG-MCDA is one of the working groups of EURO, the Association of Parent organization: Association of European. In the sciences of operations research and decision theory, the study of multicriteria decision-aid has seen considerable development in the last ten years. The author provides a concise and rigorous presentation of the concepts and procedures of this method.

Includes discussions of outranking methods, interactive methods, multiple attribute utility theory, and the theories of. Journal of Multi-Criteria Decision Analysis, Vol.

3, () Book Review MULTICRITERIA DECISION-AID, Vincke, Ph., preferences be modelled. What distinguishes MCDM Chichester: Wiley, from other decision aid methodologies.

Such important questions are dealt with in the three To the best of my knowledge, this is the first book introductory chapters. This gives. Multicriteria Decision Aid and Artificial Intelligence: Covers all of the recent advances in intelligent decision making.

Includes a presentation of hybrid models and algorithms for preference modelling and optimisation problems. Multiple Criteria Decision Aid Bibliography. This link points to a bibliography personally updated by our colleague Vincent Mousseau, from the Ecole Centrale Paris (France).

Please note that the bibliograhpy is not run by our Society, so please refer to Prof. Mousseau for any suggestion about it. Books. This is a collection of MCDM related books.

Multicriteria analysis, often called multiple criteria decision making (MCDM) by the American School and multicriteria decision aid (MCDA) by the European School, is a set of methods which allow the aggregation of several evaluation criteria in order to choose, rank, sort or describe a set of alternatives (i.e.

investment projects, financial Cited by:   Sorting problems constitute a major part of real world decisions, where a set of alternative actions (solutions) must be classified into two or more predefined classes. Multicriteria decision aid (MCDA) provides several methodologies, which are well adapted in sorting problems.

A well known approach in MCDA is based on preference disaggregation which has already Cited by: Publisher Summary. This chapter discusses models and methods in multiple objectives decision making. Multicriteria decision making (MCDM) is a world of concepts, approaches, models, and methods to help the decision makers to describe, evaluate, sort, rank, select, or objects, candidates, products, projects, etc.

on the basis of an evaluation expressed by scores, values. Multicriteria Decision Aid and Artificial Intelligence: • Covers all of the recent advances in intelligent decision making. • Includes a presentation of hybrid models and algorithms for.

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Multicriteria Decision Aid the Outranking Approach. Multicriteria decision aid ; PROMETHEE GAIA methods ; Decision Lab software; Bertrand Mareschal ULB SMG Solvay Business School http//b e/bmaresc.

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