Abraham, Assefa (PhD)Meron, Wolde2021-12-042023-11-112021-12-042023-11-112021-07http://etd.aau.edu.et/handle/12345678/29064The main way of acquiring a job for a construction company is through competitive bid. Most of the time, bid invitations float for a short period of time and are seasonal. This activity is critical as it is done frequently, quickly, and intuitively. For a construction company, the decision to participate in a bid has to be done wisely. This decision is influenced by different factors and it varies with different background. In related to this, current research has been done to study the factors affecting bid decision as well as develop model. The purpose of this research paper was to identify factors and examine which of these factors had a relationship with the decision to bid or not to bid. The research results show that prequalification requirements have a significant relation with the decision to not bid or bid and the other factors include turn over requirements, ability to do the job, project tie with company future , future projects, overall economy (availability of work), past experience in managing similar projects and market conditions (stability of material prices). The decision support model was developed using multi-variable regression and the Fuzzy Rule-Based (FRB) System. For the FRB model, the C-means clustering technique is applied for generating membership function and rule base. The Data driven fuzzy rule base system model has been selected as the Mamdani or Linear Sugeno type having 38 rules, 14 inputs and 1 output structure and showed an R2 value of 85. Multiple linear regressions resulted in having a 3 variable model using a stepwise approach with an R2 value of 69and was a good fit. It has been established that for cen-USBid no bid decisionMultiple linear regressionData driven fuzzy rule-based systemsThesis