Skip to main navigation Skip to search Skip to main content

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

  • Ram Ramanathan
  • , A. Ravi Ravindran
  • , Muthu Mathirajan

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationBig data analytics using multiple criteria decision making models
EditorsRamakrishnan Ramanathan, Muthu Mathirajan, A. Ravi Ravindran
Place of PublicationFlorida, USA
PublisherCRC Press
Chapter2
Pages21-66
Edition1
ISBN (Electronic)9781315152653
ISBN (Print)9781498753555
DOIs
Publication statusPublished - 12 Jul 2017

Publication series

NameThe operations research series

Keywords

  • Mathematical Sciences
  • Multi-Criteria Decision Making

Fingerprint

Dive into the research topics of 'Multi-criteria decision making: an overview and a comparative discussion'. Together they form a unique fingerprint.

Cite this