Evidence Theory and Fuzzy Discriminations in Dependable and Resilient Interactive MADM. Application in Emergency Psychiatric Diagnostics.

Today, much attention is paid to the engineering of dependable and resilient intelligent systems and models. This direction includes multi-attribute decision-making (MADM) models and systems in emergency situations. A new interactive MADM approach based on evidence theory and fuzzy discrimination analysis is developed. MADM’s utilities in the discrimination q-rung orthopair fuzzy values in the Dempster-Shaper’s believe structure environment are transformed. New aggregation operators - extensions of Dempster’s extremal expectations under discrimination q-rung orthopair fuzzy information are constructed. MADM’s alternatives by new constructed operators are ranked. For the illustration of obtained results, a numerical example is created from Emergency Psychiatric Diagnostics (EPD).