Results 211 to 220 of about 492,566 (255)

Maximal consistent block technique for rule acquisition in incomplete information systems

Information Sciences, 2003
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Yee Leung, Deyu Li
exaly   +4 more sources

Approachs to Computing Maximal Consistent Block

Communications in Computer and Information Science, 2014
Maximal consistent block is a technique for rule acquisition in incomplete information systems. It was first proposed by Yee Leung and Deyu Li in 2001. However, the maximal consistent blocks of an incomplete information system must be computed before they are put into use. In this paper, we introduced several approaches for computing maximal consistent
Xiangrui Liu, Mingwen Shao
exaly   +3 more sources

Uncertainty Measure of Knowledge and Rough Set Based on Maximal Consistent Block Technique

2007 International Conference on Machine Learning and Cybernetics, 2007
In incomplete information systems, similarity measures or tolerance relations replace indiscernible relations, and the corresponding similarity or tolerance classes form coverage instead of classification of Universe. On the other hand, without satisfying the properties of transference and symmetry, there may have misjudgments in tolerance or ...
Xue-Gang Hu
exaly   +3 more sources

Multicost Decision-Theoretic Rough Sets Based on Maximal Consistent Blocks

Lecture Notes in Computer Science, 2014
Decision-theoretic rough set comes from Bayesian decision procedure, in which a pair of the thresholds is derived by the cost matrix for the construction of probabilistic rough set. However, classical decision-theoretic rough set can only be used to deal with complete information systems.
Xibei Yang, Yong Qi, Xiaoning Song
exaly   +3 more sources

Maximal consistent block based optimal scale selection for incomplete multi-scale information systems

International Journal of Machine Learning and Cybernetics, 2023
Wei-Zhi Wu
exaly   +3 more sources

A new fuzzy multi-attribute group decision-making method with generalized maximal consistent block and its application in emergency management

Knowledge-Based Systems, 2021
Abstract Decision-making is the most important business activity and becomes more complex in the current big-data situation. Most organizational decision-making is made in a group and has the data analytics function to seek specific answers for specific purposes.
Yan Sun, Jusheng Mi, Jinkun Chen, Wen Liu 0009   +3 more
openaire   +2 more sources

Knowledge Granulation in Interval-Valued Information Systems Based on Maximal Consistent Blocks

Rough Sets and Knowledge Technology, 2014
Rough set theory, proposed by Pawlak in the early 1980s, is an extension of the classical set theory for modeling uncertainty or imprecision information. In this paper, we investigate partial relations and propose the concept of knowledge granulation based on the maximal consistent block in interval-valued information systems. The knowledge granulation
Nan Zhang 0041, Xiaodong Yue
openaire   +2 more sources