Decision Making with Fuzzy Incomplete Preference Data: Correct Completion Process and Efficiency of Completed Pairwise Comparison Matrices
Ayta Yazici and Tuncay Gürbüz
Decision makers (DMs) are basing their decisions on sound analysis and instincts coming from past experience. However, it is not rare to come across DMs who reject analytical decision-making methods because of the operational and cognitive workload they are imposing. Therefore, sometimes these methods should proceed with incomplete data. In this study, pairwise comparisons, will be analyzed under an incomplete data environment where a DM gives one full row of a pairwise comparison matrix. This study starts with incomplete linguistic judgments. After a correction to an existing completion process is provided, the accuracy and therefore effectiveness of the completed data is studied by introducing an accuracy measure whilst a comparative consistency analysis is also conducted to assess the acceptability of the method. Hence an even broader use of analytical decision-making tools is aimed by contributing to shorten the application time and showing compelling accuracy of the method.
Keywords: Multi-criteria decision making, fuzzy preference, pairwise comparison, incomplete data