Using analytical hierarchy process (AHP) and fuzzy logic approaches in selection of the organization to win the tender

The tender selection process usually consists of several stages, starting with the pre-qualification phase, where potential bidders are evaluated based on their expertise, experience and financial stability. This stage is very important as it helps the client identify the most qualified and capable contractors that he can invite to bid on the project. This thesis discusses the use of multi-criteria decision-making methods in determining the winning organization in contractor selection processes. The aim of our study is to examine the integration of the winning organization in the contractor selection processes, especially the Analytical Hierarchy Process (AHP) and Fuzzy Logic approaches, and to evaluate the effectiveness of these methods. The study contributes to the construction industry in two ways; First, it expands the understanding of contractor selection criteria to include importance levels, and second, it applies Analytical Hierarchy Process (AHP) and fuzzy logic approaches, a method for analyzing and selecting the best contractor selection processes. The methods used in this context were compared by objectively measuring the performance of the companies. It explains in detail how the provided Python script performs the evaluation of contractor companies using Analytical Hierarchy Process (AHP) and Fuzzy Logic methods. The study explains in detail how Analytical Hierarchy Process (AHP) and Fuzzy Logic methods can be applied in order to identify critical factors for the decision-making process of successful contractor selection in the tender, evaluate these factors and analyze the results. Additionally, by comparing the advantages, disadvantages and application context of both approaches, suggestions are offered to improve decision-making processes in tender processes. According to the Analytical Hierarchy Process (AHP) results of this study; It was determined that Company-1 stood out as the company with the best performance with 78%. It was concluded that it received high scores in criteria such as quality, technical competence and cost. According to Fuzzy Logic results; Company-1 again received the highest score with 68.20%, but it was determined that there were some differences in fuzzy logic. While companies such as Company-15 and Company-8 stand out in fuzzy logic, it has also been determined that there are companies that lag behind in the Analytic Hierarchy Process AHP results. This situation shows that decision-making processes should not be based on a single method and that hybrid approaches will be useful. This study provides a systematic, objective and flexible approach to tender processes and contributes to decision-making processes in the field of engineering.