An incremental approach to obtaining attribute reduction for dynamic decision systems

DOI10.1515/MATH-2016-0077zbMath1403.68294OpenAlexW2564617992MaRDI QIDQ729688

Liu Wenjun

Publication date: 22 December 2016

Published in: Open Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/math-2016-0077

zbMATH Keywords

rough setattribute reductionconditional information quantitydynamic decision system

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (3)

Anti-periodic dynamics on high-order inertial Hopfield neural networks involving time-varying delays ⋮ Anti-periodicity on high-order inertial Hopfield neural networks involving mixed delays ⋮ Convergence analysis on inertial proportional delayed neural networks

Uses Software

• RRIA

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A Mathematical Theory of Communication
• Incremental learning optimization on knowledge discovery in dynamic business intelligent systems
• Approximations and uncertainty measures in incomplete information systems
• Consistency-based search in feature selection
• Rough set approach to incomplete information systems
• Rules in incomplete information systems
• A rough set based dynamic maintenance approach for approximations in coarsening and refining attribute values
• A new method for measuring uncertainty and fuzziness in rough set theory
• An Incremental Approach for Inducing Knowledge from Dynamic Information Systems
• Rough sets
• Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
• Combination Entropy and Combination Granulation in Incomplete Information System
• A NEW METHOD FOR MEASURING THE UNCERTAINTY IN INCOMPLETE INFORMATION SYSTEMS

This page was built for publication: An incremental approach to obtaining attribute reduction for dynamic decision systems