Threshold-Enhanced PROMETHEE Group Decision Support under Uncertainties

As threshold determination is arduous when using PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations) to make decisions, this study proposes a comprehensive PROMETHEE-based group decision support covering the uncertainties of determination, risk preferences, and evaluation itself. To reduce difficulty on it explicitly offers statistical aggregation individuals’ indifference preference thresholds so as obtain benefits from multiple sources knowledge experience. Three typical combinations are characterized that reflect conservative, balanced, aggressive preferences. We also derive 6 properties illustrate effects changes changes. Despite variances among individual rankings alternatives, rank differences within decisions do converge by illustrative example. A larger interval conservative generates more diverse ranks versus other two Moreover, III has power managing inaccurate measurement. The introduction S-shaped functions benefit fitting behavioral making under uncertainty. Integrating these approaches together support, our proposal less affected variance coherent with traditional differentiated power.