Approximation Set of the Interval Set in Pawlak's Space
The interval set is a special set, which describes uncertainty of an uncertain concept or setZwith its two crisp boundaries named upper-bound set and lower-bound set. In this paper, the concept of similarity degree between two interval sets is defined at first, and then the similarity degrees between an interval set and its two approximations (i.e., upper approximation setR¯(Z) and lower approximation setR_(Z)) are presented, respectively. The disadvantages of using upper-approximation setR¯(Z) or lower-approximation setR_(Z) as approximation sets of the uncertain set (uncertain concept)Zare analyzed, and a new method for looking for a better approximation set of the interval setZis proposed. The conclusion that the approximation setR0.5(Z) is an optimal approximation set of interval setZis drawn and proved successfully. The change rules ofR0.5(Z) with different binary relations are analyzed in detail. Finally, a kind of crisp approximation set of the interval setZis constructed. We hope this research work will promote the development of both the interval set model and granular computing theory.