Interval Structure: A Framework for Representing Uncertain Information

In this paper, a unified framework for representing uncertain information based on the notion of an interval structure is proposed. It is shown that the lower and upper approximations of the rough-set model, the lower and upper bounds of incidence calculus, and the belief and plausibility functions all obey the axioms of an interval structure. An interval structure can be used to synthesize the decision rules provided by the experts. An efficient algorithm to find the desirable set of rules is developed from a set of sound and complete inference axioms.

• Type: Conference
• Year: 1992
• Where: UAI
• Authors: S. K. Michael Wong, Lusheng Wang, Yiyu Yao
• Keywords: Complete Inference Axioms, Interval Structure, UAI 1992, UAI 2008, Upper Approximations