Abstract:
Globally, businesses are increasingly depending on other businesses’ competencies to meet the increasing demands from
customers. Enterprises collaborate with a view of sharing their expertise, costs and risks. Many studies have examined
this subject with only a few proposing techniques that can facilitate decision-makers’ abilities to filter out inefficient
partners among the many that show interest to be part of the consortium, prior to the selection process. Also, few
techniques are available that can aid the selection process when the selection criteria are voluminous and uncertain in
nature. Research dealing with this subject focusing on the construction industry is hardly available. A Fuzzy Analytical
Hierarchy Process-Technique for Order of Preference by Similarity to Ideal Solution (FAHP-TOPSIS) technique, a
hybrid of FAHP and F-TOPSIS, is designed to address this problem. This technique is embedded to Data Envelopment
Analysis used to filter out inefficient partners at initial stages. FAHP determines decision criteria weights, while FTOPSIS
evaluates the unfiltered partners. A comparison analysis of FAHP-TOPSIS with FAHP and F-TOPSIS in the
same case, show similar results confirming their robustness. However, FAHP-TOPSIS gives the most consistent
outcomes. It is proposed that FAHP-TOPSIS can be used on a wide range of partner selection decision problems.
