Determinants of knowledge-based expert system success in construction engineering

This study is the second part of a research project aiming at investigating important issues and factors relating to the success of a knowledge-base expert system (KBES) development. Each factor has several surrogate items as dependent variables used to measure certain aspects of the factor. Using angular fuzzy sets, values of the surrogate items can be quantitatively determined and items with values less than one are regarded as weak items. Deployment of corrective action is therefore required to enhance weak items. Despite the limitations of the study, it is believed that it represents one of the first attempts to identify and address the determinants of KBES success in the construction industry.