Quasi‑convexity in mixtures for generalized rank‑dependent functions
"Quasi‑convexity in probabilistic mixtures is a common and useful property in decision analysis. We study a general class of non‑monotone mappings, called the generalized rank‑dependent functions, which include the preference models of expected utilities, dual utilities, and rank‑dependent utilities as special cases, as well as signed Choquet integrals used in risk management."