Artificial neural network representations for hierarchical preference structures
Computers and Operations Research
Computers and Operations Research
Supporting the Module Sequencing Decision in the ERP Implementation Process
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 08
Evaluating digital video recorder systems using analytic hierarchy and analytic network processes
Information Sciences: an International Journal
A model for selecting an ERP system based on linguistic information processing
Information Systems
An integrated decision making approach for ERP system selection
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Key success factors for online auctions: Analysis of auctions of fashion clothing
Expert Systems with Applications: An International Journal
Evaluation systems and methods of enterprise informatization and its application
Expert Systems with Applications: An International Journal
A decision algorithm for ERP systems alignment
International Journal of Business Information Systems
A real option theoretic fuzzy evaluation model for enterprise resource planning investment
Journal of Engineering and Technology Management
A hybrid MCDM methodology for ERP selection problem with interacting criteria
Decision Support Systems
A Set of Criteria for Selection of Enterprise Resource Planning ERP
International Journal of Enterprise Information Systems
ERP software selection with MCDM: application of TODIM method
International Journal of Business Information Systems
A multi criteria group decision making approach for collaborative software selection problem
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 12.06 |
An enterprise resource planning (ERP) software selection is known to be multi attribute decision making (MADM) problem. This problem has been modeled according with analytic network process (ANP) method due to fact that it considers criteria and sub criteria relations and interrelations in selecting the software. Opinions of many experts are obtained while building ANP model for the selection ERP then opinions are reduced to one single value by methods like geometric means so as to get desired results. To use ANP model for the selection of ERP for a new organization, a new group of expert's opinions are needed. In this case the same problem will be in counter. In the proposed model, when ANP and ANN models are setup, an ERP software selection can be made easily by the opinions of one single expert. In that case calculation of geometric mean of answers that obtained from many experts will be unnecessary. Additionally the effect of subjective opinion of one single decision maker will be avoided. In terms of difficulty, ANP has some difficulties due to eigenvalue and their limit value calculation. An ANN model has been designed and trained with using ANP results in order to calculate ERP software priority. The artificial neural network (ANN) model is trained by results obtained from ANP. It seems that there is no any major difficulty in order to predict software priorities with trained ANN model. By this results ANN model has been come suitable for using in the selection of ERP for another new decision.