Decision making model for electronic tender evaluation (ETE) using fuzzy AHP with extent analysis method

Abstract

Transformation in procurement technique aims to create a sustainability development and innovative outsourcing strategy. It can increase the probability of project success with quality and give an added value in money and contract times. Wide range of issues should be considered in producing a sincere and trusted decision within respective agencies. Our research proposed a procurement transformation model for selecting the optimal result of contractor selection under multi criteria environments. The corresponding data are centralizing, easy to manage and can be updated accordingly. Fuzzy comparing judgment is used as the method to overcome the ambiguity aspects in selecting significant preferences by decision maker regarding to the subjective opinion. Decision making process is represented by the integration of evaluation model to produce a final result. Finally, the model was tested in tender evaluation processes to determine the most beneficial contractor to perform the construction project.