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Multi-criteria decision making: an overview and a comparative discussion

  • Ram Ramanathan
    ,
  • A. Ravi Ravindran
    ,
  • Muthu Mathirajan
Research Output: Chapter in Book/Report/Conference proceeding Chapter Peer-review

Abstract

An attempt to provide an overview of the different techniques in the field of multi-criteria decision-making is made in this chapter. First, some basic terminologies are reviewed. A classification of the various methods is outlined. Some of the basic concepts common to many methods are presented. The methods covered in the overview include the Multi Attribute Utility Theory, the Analytic Hierarchy Process, the ELECTRE methods, PROMETHEE methods, Fuzzy Set Theory, Multi-objective Linear Programming, Goal Programming, the Aspiration-level Interactive Method, Compromise Programming, and Data Envelopment Analysis. The different methods are compared in terms of several vital parameters. Finally, a link to the context of Big Data is provided in line with the theme of this book.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Chapter Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 21-66

Publication milestones

  • Published - 12/07/2017

Publication status

Published - 12/07/2017

Place of publication

Florida, USA

Edition

1

Publisher

CRC Press, Netherlands

Publication series

  • Publication series name: The operations research series

ISBN (Print)

9781498753555

ISBN (Electronic)

9781315152653

Chapter Number

2

External Publication IDs

  • handle.net: 10547/622184
  • Scopus: 85052582926

Host publication title

Big data analytics using multiple criteria decision making models

Host publication editors

  • Ramakrishnan Ramanathan
  • Muthu Mathirajan
  • A. Ravi Ravindran

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