Set-Membership Filter (SMF) has been extensively studied for state estimation in the presence of bounded noises with unknown statistics. Since it was first introduced 1960s, studies on SMF have used set-based description as its mathematical framework. One important issue that overlooked is optimality SMF. In this work, we put forward a new framework using concepts uncertain variables. We establ...