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182. Evidence Theory and Fuzzy Discriminations in MCDM. Application in Emergency Psychiatric Diagnostics
Invited abstract in session WA-47: Fuzzy sets and systems, stream Multiple Criteria Decision Analysis.
Wednesday, 8:30-10:00Room: 50 (building: 324)
Authors (first author is the speaker)
| 1. | Bezhan Ghvaberidze
|
| Department of Computer Sciences, Iv. Javakhishvili Tbilisi State University | |
| 2. | Gia Sirbiladze
|
| Department of Computer Sciences, Iv.Javakhishvili Tbilisi State University |
Abstract
Today, much attention is paid to the engineering of dependable and resilient intelligent systems and models. This direction includes multi-criteria decision making (MCDM) models and systems in emergency situations. A new interactive MCDM approach based on evidence theory and fuzzy discrimination analysis is developed. MCDM’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. MCDM’s alternatives by new constructed operators are ranked. For the illustration of obtained results a numerical example is created from Emergency Psychiatric Diagnostics.
Keywords
- Artificial Intelligence
- Decision Analysis
- Fuzzy Sets and Systems
Status: accepted
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