Selecting appropriate ERP software using integrated fuzzy linguistic preference relations – fuzzy TOPSIS method

DOI

10.1080/18756891.2016.1175810How to use a DOI?

Keywords

Enterprise resource planning (ERP); Fuzzy linguistic preference relations (FLPR); Fuzzy TOPSIS; Multiple criteria analysis

Abstract

Due to the high uncertainty of business environment, the complexity and diversity of enterprise resource planning (ERP) projects and conflicting assessment criteria, appropriate ERP software selection can be viewed as a multi-criteria decision-making (MCDM) problem. Among the MCDM methods, extent analysis method (EAM) has been employed in many applications due to its computational simplicity. However, in EAM, inconsistency rises as the numbers of criteria or alternatives increase. In order to address this inconsistency problem, fuzzy linguistic preference relations (FLPR) has been proposed to obtain consistent solutions in the decision-making processes. This study proposes a robust ERP selection framework where the weights of the evaluation criteria are computed through FLPR and the ranking of the alternative ERP systems is obtained via Fuzzy TOPSIS. A real life application has been executed in a Turkish wholesale food company.

Copyright

© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis

Open Access

This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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TY  - JOUR
AU  - Süleyman Çakır
PY  - 2016
DA  - 2016/06/01
TI  - Selecting appropriate ERP software using integrated fuzzy linguistic preference relations – fuzzy TOPSIS method
JO  - International Journal of Computational Intelligence Systems
SP  - 433
EP  - 449
VL  - 9
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2016.1175810
DO  - 10.1080/18756891.2016.1175810
ID  - Çakır2016
ER  -