In a chance constrained program (CCP), decision makers seek the best whose probability of violating uncertainty constraints is within prespecified risk level. As CCP often nonconvex and difficult to solve optimality, much effort has been devoted developing convex inner approximations for CCP, among which conditional value-at-risk ([Formula: see text]) known be more than decade. This paper studi...