A hybrid genetic algorithm for reduct of attributes in decision system based on rough set theory

2002 ◽  
Vol 7 (3) ◽  
pp. 285-289 ◽  
Author(s):  
Dai Jian-hua ◽  
Li Yuan-xiang ◽  
Liu Qun
Keyword(s):  
Genetic Algorithm ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Hybrid Genetic Algorithm ◽  
Decision System

A Heuristic Genetic Algorithm for Continuous Attribute Discretization in Rough Set Theory

2011 ◽  
Vol 211-212 ◽  
pp. 132-136 ◽  
Author(s):  
Zhao Hui Ren ◽  
Yuan Hao ◽  
Bang Chun Wen
Keyword(s):  
Genetic Algorithm ◽  
Local Search ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Decision System ◽  
Minimum Number ◽  
Cut Set ◽  
Continuous Attribute ◽  
Decision Tables

Continuous attribute discretization based on rough set is to got possibly minimum number of cuts, and at the same time it should not weaken the indiscernibility ability of the original decision system. In order to obtain the optimal cut set of the continuous attribute system, based on research the choice of candidate cut set, this paper presents a heuristic genetic algorithm for continuous attribute discretization to decision tables. In this algorithm making the importance of the continuous cut as heuristic message, a new operator is constructed to not only maintain the discernibility of the cuts selected, but also improve local search ability of the algorithm. Compared the performance of this method with the others’, this method is proved effective and superiority.

Fragile Watermarking of Decision System Using Rough Set Theory

2018 ◽  
Vol 43 (12) ◽  
pp. 7621-7633 ◽  
Author(s):  
Vidhi Khanduja ◽  
Shampa Chakraverty
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Fragile Watermarking ◽  
Decision System
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