Multi-Criteria Decision Analysis via Ratio and Difference Judgement

  • Freerk A. Lootsma

Part of the Applied Optimization book series (APOP, volume 29)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Pages 1-14
  3. Pages 15-52
  4. Pages 139-160
  5. Pages 161-193
  6. Pages 195-210
  7. Pages 271-279
  8. Back Matter
    Pages 281-287

About this book

Introduction

The point of departure in the present book is that the decision makers, involved in the evaluation of alternatives under conflicting criteria, express their preferential judgement by estimating ratios of subjective values or differences of the corresponding logarithms, the so-called grades. Three MCDA methods are studied in detail: the Simple Multi-Attribute Rating Technique SMART, as well as the Additive and the Multiplicative AHP, both pairwise-comparison methods which do not suffer from the well-known shortcomings of the original Analytic Hierarchy Process. Context-related preference modelling on the basis of psycho-physical research in visual perception and motor skills is extensively discussed in the introductory chapters. Thereafter many extensions of the ideas are presented via case studies in university administration, health care, environmental assessment, budget allocation, and energy planning at the national and the European level. The issues under consideration are: group decision making with inhomogeneous power distributions, the search for a compromise solution, resource allocation and fair distributions, scenario analysis in long-term planning, conflict analysis via the pairwise comparison of concessions, and multi-objective optimization. The final chapters are devoted to the fortunes of MCDA in the hands of its designers. The research started in the late seventies, when I got involved in three different problems: the nomination procedures in a university, the evaluation of alternative energy-research proposals, and the evaluation of non-linear programming software.

Keywords

calculus linear optimization modeling multi-objective optimization negotiations optimization programming

Editors and affiliations

  • Freerk A. Lootsma
    • 1
  1. 1.Delft University of TechnologyDelftThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/b102374
  • Copyright Information Kluwer Academic Publishers 1999
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-7923-5669-1
  • Online ISBN 978-0-585-28008-0
  • Series Print ISSN 1384-6485
  • About this book