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Multiple Criteria Decision Making and Aiding

Cases on Models and Methods with Computer Implementations

  • Sandra Huber
  • Martin Josef Geiger
  • Adiel Teixeira de Almeida

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 274)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Emma Stubington, Matthias Ehrgott, Glyn Shentall, Omid Nohadani
    Pages 41-66
  3. Ann Barcomb, Nicolas Jullien, Patrick Meyer, Alexandru-Liviu Olteanu
    Pages 95-143
  4. Salvatore Corrente, Salvatore Greco, Roman Słowiński
    Pages 145-192
  5. Ana Sara Costa, Isabella M. Lami, Salvatore Greco, José Rui Figueira, José Borbinha
    Pages 193-220
  6. Murat Köksalan, Sakine Batun
    Pages 221-230
  7. Marina Segura, Concepción Maroto, Valerie Belton, Concepción Ginestar, Inmaculada Marqués
    Pages 231-255
  8. Eduarda Asfora Frej, Adiel Teixeira de Almeida, Danielle Costa Morais
    Pages 257-280

About this book

Introduction

This book introduces students on Multiple Criteria Decision Aiding and Making courses to practical, real-world cases. Each case study introduces a problem or situation together with a method, and a description and explanation of a computer application. In this sense each chapter is based on four pillars: the problem, the model building, the methods and their implementation. The book presents and elaborates a rich and comprehensive set of practical problems comprising multiple criteria, including numerous approaches for their solution, for decision support or decision aid. It complements traditional textbooks and lecture material by employing case studies to promote a deeper understanding of the investigated concepts and help students apply these methods to other areas.

Keywords

optimization methods MCDM MCDA robust ordinal regression MAVT/MAUT decision rule approach preference modelling group decision making data envelopment analysis

Editors and affiliations

  • Sandra Huber
    • 1
  • Martin Josef Geiger
    • 2
  • Adiel Teixeira de Almeida
    • 3
  1. 1.Logistics Management DepartmentHelmut-Schmidt-University/University of the Federal Armed Forces HamburgHamburgGermany
  2. 2.Logistics Management DepartmentHelmut-Schmidt-University/University of the Federal Armed Forces HamburgHamburgGermany
  3. 3.Universidade Federal de PernambucoRecife, PernambucoBrazil

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-99304-1
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Business and Management
  • Print ISBN 978-3-319-99303-4
  • Online ISBN 978-3-319-99304-1
  • Series Print ISSN 0884-8289
  • Series Online ISSN 2214-7934
  • Buy this book on publisher's site
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