International Journal of Computational Intelligence Systems

Volume 7, Issue 4, August 2014, Pages 615 - 635

A Hybrid MCDM for Private Primary School Assessment Using DEMATEL Based on ANP and Fuzzy Cognitive Map

Authors
Adil Baykasoglu, Zeynep D. U. Durmusoglu
Corresponding Author
Adil Baykasoglu
Received 10 August 2012, Accepted 1 April 2014, Available Online 1 August 2014.
DOI
10.1080/18756891.2014.960220How to use a DOI?
Keywords
Private primary school selection, ANP, DEMATEL, FCM
Abstract

Primary school selection is actually a decision making problem that should be supported with several source of information. Parents usually handle this problem in an unstructured manner which is indeed a fuzzy mental ranking of schools with respect to the effectiveness. In this study, an analytical hybrid multiple criteria decision making (MCDM) model is proposed and explained with details for private primary school selection problem. A case study indicating primary school choices of parents in Turkey is also presented.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
7 - 4
Pages
615 - 635
Publication Date
2014/08/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2014.960220How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Adil Baykasoglu
AU  - Zeynep D. U. Durmusoglu
PY  - 2014
DA  - 2014/08/01
TI  - A Hybrid MCDM for Private Primary School Assessment Using DEMATEL Based on ANP and Fuzzy Cognitive Map
JO  - International Journal of Computational Intelligence Systems
SP  - 615
EP  - 635
VL  - 7
IS  - 4
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2014.960220
DO  - 10.1080/18756891.2014.960220
ID  - Baykasoglu2014
ER  -