|Table of Contents|

A Flexible Multigranulation Decision-Theoretic Rough Set Model(PDF)

《南京师范大学学报》(自然科学版)[ISSN:1001-4616/CN:32-1239/N]

Issue:
2017年01期
Page:
48-
Research Field:
·数学与计算机科学·
Publishing date:

Info

Title:
A Flexible Multigranulation Decision-Theoretic Rough Set Model
Author(s):
Zhang Jing1Ju Hengrong12Yang Xibei1Guo Qingjun3
(1.School of Computer Science and Engineering,Jiangsu University of Science and Technology,Zhenjiang 212003,China)(2.School of Management and Engineering,Nanjing University,Nanjing 210093,China)(3.School of Computer Engineering,Jiangsu University of Tec
Keywords:
decision-theoreticmultigranulationflexiblerough set
PACS:
TP18
DOI:
10.3969/j.issn.1001-4616.2017.01.008
Abstract:
As we all know,the optimistic multigranulation decision-theoretic rough set model was loose while pessimistic multigranulation decision-theoretic rough set model was strict. To solve this problem,we propose a new multigranulation decision-theoretic rough set model,which is called flexible multigranulation decision-theoretic rough set. It introduces a threshold to control the number of information granules. Such mechanism makes the model more flexible. Moreover,we also show the properties of this model and compare the model with classical multigranulation model. The results of theoretic analyses and experiment show that,the model proposed in this paper is a powerful expansion of the classical multigranulation decision-theoretic rough set in real world application.

References:

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