“…Abundant studies provided decision-making processes and methods for contractors' IMS, including mapping managerial decision-making model (Andersen and Strandskov, 1997), neural network model (Dikmen and Birgonul, 2004), fuzzy logic framework (Levy and Yoon, 1995), CBR-INT (a case-based reasoning decision support tool-with human intervention) (Ozorhon et al, 2006), scale-based profit prediction model (Han et al, 2007), fuzzy preference relations-based analytic hierarchy process (Fuzzy LinPreRa-based AHP) (Lee et al, 2017), OLI þ S entry decision model (Isa et al, 2017), risk-based entry decision model (Odediran and Windapo, 2018), TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) based on information entropy theory and cluster analysis (Lin and Su, 2019), adaptive neuro fuzzy information system (ANFIS) (Utama et al, 2019) and evidential reasoning (ER) approach (Li et al, 2021). Some studies related to IMS are specific to project selection (Dikmen and Birgonul, 2004;Han et al, 2007;Li et al, 2020a, b;Ozorhon et al, 2006;Utama et al, 2019;.…”