Assignment Reductions in Inconsistent Ordered Intuition Fuzzy Information Decision Tables

ABSTRACT

In the real-world, most information systems are based on dominance relations and may be inconsistent. Moreover, taking the imprecise evaluations in the description of objects into account, intuition fuzzy information systems are introduced to handle with this problem. In this paper, attribute reductions are discussed in inconsistent ordered intuition fuzzy information decision tables. The concept of assignment reductions is proposed which meet different requirements of the existed reductions. Practical approach to compute this kind of reductions is presented by introducing of discernable matrix and discernable function. Moreover, a toy example is employed to illustrate the feasibility of the approach.

Keywords:

Allocation reductions, dominance-based rough set approach, dominance relations, intuition fuzzy information systems.