In his dissertation, Inusah Abdulai develops five innovative decision making models designed to handle situations where information is vague, incomplete, or even contradictory conditions under which traditional methods often fail. By combining paraconsistent logic, Pavelka fuzzy logic, fuzzy similarity relations, and the Borda rule, the research introduces tools that are simpler to use, more flexible, and better suited for large and complex decision problems. These models outperform well known techniques such as PROMETHEE II, ELECTRE II, and TOPSIS in areas like efficiency, transparency, and the ability to process inconsistent data. The results offer practical benefits for governments, businesses, and organisations that must make high stakes decisions—such as selecting energy sources or evaluating service providers—especially when data quality is uncertain or multiple decision makers are involved.
The doctoral dissertation of Lic. Inusah Abdulai in the field of Mathematics titled Paraconsistent Many-Valued Similarity Modelling will be publicly examined at the Faculty of Information Technology and Communication Sciences at Tampere University on 10 April 2026.
The Opponent will be Professor Jose Maria Merigo Lindahl from the University of Technology Sydney, Australia. The Custos will be Professor Sampsa Pursiainen, Tampere University.