In this paper, we firstly introduce a concept of inconsistency classification based on which we draw a qualitative conclusion that the approach by Hu and ...

Apr 30, 2003 · In this paper, we firstly introduce a concept of inconsistency classification based on which we draw a qualitative conclusion that the ...

In this paper, we firstly introduce a concept of inconsistency classification based on which we draw a qualitative conclusion that the approach by Hu and ...

We give an unified decision table model in inconsistent decision table for reducts. •. We propose relative discernibility reduct method for the general ...

In this paper, we will study the problem of calculating the attribute core of a decision table. We find some errors in some former results by Hu and Ye [1, 2].

Inconsistency Classification and Discernibility-Matrix-Based Approaches for Computing an Attribute Core · Dongyi YeZhaojiong Chen. Computer Science, Mathematics.

A new algorithm is formulated which supports attribute core and attribute relative reduction based on the generalized binary discernibility matrix.

This paper introduces an improved algorithm based on discernibility matrix by Yang, and proposes an incremental updating algorithm for Core Computation. The ...

May 15, 2024 · Rough set is one of the important methods for rule acquisition and attribute reduction. The current goal of rough set attribute reduction ...

This paper improves the indiscernibility matrix based approach for computing all reducts. Only indiscernibility matrix cells as well as subsets of the attribute ...