A revised procedure to estimate missing values in incomplete fuzzy preference relations

In this paper, we propose a four-way procedure to estimate missing preference values when dealing with acceptable incomplete fuzzy preference relations (IFPRs). The proposed revised procedure can estimate more missing elements in the first iteration and also has more advantages than the existing methods. An illustrative example and comparative analyses are offered to demonstrate the advantages of the proposed method.