Visualizing and Reasoning With Imperfect Time Intervals in 2-D
Christophe Billiet|Nico Van de Weghe|Jeroen Deploige|Guy De Tré
Time modeling is an important issue in information management. Both traditional and soft computing approaches have been thoroughly studied the existing literature. Traditional are specifically designed to efficiently deal with perfect temporal data. Soft techniques additionally support efficient handling of imperfect In this paper, a novel technique presented, based on fuzzy set theory using possibility theory, represent, handle, reason time intervals that uncertain starting and/or ending boundaries. Hereby, 2-D visualization approach, which called triangular model, generalized effectively cope such subject uncertainty. The proposed approach provides straightforward compact for possibilistic interval data, supports analytical processing distributions easy observe, explore, analyze. Moreover, it shown how analysis can be carried out approach. context, both presence absence uncertainty one or more supported. value demonstrated through development two illustrative use cases.
IEEE Transactions on Fuzzy Systems