Karar verme yöntemlerinde bulanık sistem genişlemeleri ve uygulaması

Cognitively speaking, some processes or steps included in decision- making can be a serious burden for DMs. Pairwise comparisons are one of those steps to be handled carefully in order to obtain useful results. During pairwise comparisons of elements such as decision criteria, let alone providing exact quantitative judgments, a complete linguistic set of judgments may sometimes be hard to retrieve from DMs. From that perspective, completing an incomplete pairwise comparison matrix is an interesting problem that many attempted to cover. For that purpose, when DMs provided incomplete interval-valued fuzzy preference relations, experimental approach was used to obtain the completed matrix. Also, the fuzzy synthetic extent was used to calculate the fuzzy weights of criteria. The purpose of this exploratory study is to analyse what happens when triangular fuzzy numbers (TFNs) are used for judgments and how powerful is the method in order to represent the will of the DMs. In the study, a numerical application is provided using incomplete pairwise comparison matrices of dimension four and five collected from 40 decision makers where their preferences are given using a linguistic set. The Accuracy of the approach is then tested for different levels of confidence in order to provide insightful concluding remarks.