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

2.50
Hdl Handle:
http://hdl.handle.net/10547/622184
Title:
Multi-criteria decision making: an overview and a comparative discussion
Authors:
Ramanathan, Ramakrishnan ( 0000-0002-8861-2209 ) ; Mathirajan, Muthu
Other Titles:
Big data analytics using multiple criteria decision making models
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.
Citation:
Ramanathan R, Ravindran A R, Mathirajan M (2017) 'Multi-criteria decision making: an overview and a comparative discussion', in Ramanathan R, Mathirajan M, Ravindran A R (ed(s).). Big data analytics using multiple criteria decision making models, 1 edn, Florida, USA: CRC Press, Taylor & Francis pp.21-66.
Publisher:
CRC Press, Taylor & Francis
Issue Date:
17-Jul-2017
URI:
http://hdl.handle.net/10547/622184
DOI:
10.1201/9781315152653-3
Additional Links:
https://www.crcpress.com/Big-Data-Analytics-Using-Multiple-Criteria-Decision-Making-Models/Ramanathan-Mathirajan-Ravindran/p/book/9781498753555
Type:
Book chapter
Language:
en
ISBN:
9781498753555
Appears in Collections:
Business and management

Full metadata record

DC FieldValue Language
dc.contributor.authorRamanathan, Ramakrishnanen
dc.contributor.authorMathirajan, Muthuen
dc.date.accessioned2017-09-08T09:03:32Z-
dc.date.available2017-09-08T09:03:32Z-
dc.date.issued2017-07-17-
dc.identifier.citationRamanathan R, Ravindran A R, Mathirajan M (2017) 'Multi-criteria decision making: an overview and a comparative discussion', in Ramanathan R, Mathirajan M, Ravindran A R (ed(s).). Big data analytics using multiple criteria decision making models, 1 edn, Florida, USA: CRC Press, Taylor & Francis pp.21-66.en
dc.identifier.isbn9781498753555-
dc.identifier.doi10.1201/9781315152653-3-
dc.identifier.urihttp://hdl.handle.net/10547/622184-
dc.description.abstractAn 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.en
dc.language.isoenen
dc.publisherCRC Press, Taylor & Francisen
dc.relation.urlhttps://www.crcpress.com/Big-Data-Analytics-Using-Multiple-Criteria-Decision-Making-Models/Ramanathan-Mathirajan-Ravindran/p/book/9781498753555en
dc.subjectmulti-criteria decision makingen
dc.subjectN100 Business studiesen
dc.subjectdecision makingen
dc.titleMulti-criteria decision making: an overview and a comparative discussionen
dc.title.alternativeBig data analytics using multiple criteria decision making modelsen
dc.typeBook chapteren
dc.date.updated2017-09-08T08:57:30Z-
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