Results 11 to 20 of about 2,610,867 (326)

Incremental Attribute Reduction Algorithm Based on Binary Discernibility Matrix [PDF]

Jisuanji gongcheng, 2017
Incremental attribute reduction algorithm is one of the important research contents in the area of dyanmic data mining.To reduce the storage space of binary discernibility matrix,and by combining the advantages of the binary discernibility matrix that it
DING Mianwei,ZHANG Tengfei,MA Fumin
doaj   +1 more source

Discernibility matrix based incremental feature selection on fused decision tables

International Journal of Approximate Reasoning, 2020
In rough set philosophy, each set of data can be seen as a fuzzy decision table. Since a decision table dynamically increases with time and space, these decision tables are integrated into a new one called fused decision table. In this paper, we focus on
Ye Liu, Lidi Zheng, Yeliang Xiu, Hong Yin, Suyun Zhao, Xizhao Wang, Hong Chen, Cuiping Li   +7 more
semanticscholar   +1 more source

Discernibility matrix simplification for constructing attribute reducts [PDF]

Information Sciences, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yao, Yiyu, Zhao, Yan
openaire   +2 more sources

Local Indiscernibility Relation Reduction for Information Tables

IEEE Access, 2022
Attribute reduction comes from machine learning and is an important component of rough set theory. Research on attribute reduction has produced many important achievements.
Xu Li, Jianguo Tang, Jiyong Tang
doaj   +1 more source

Incremental Algorithm for Attribute Reduction Based on Positive Region and Discernibility Element [PDF]

Jisuanji gongcheng, 2016
The reduction result should be updated continually with the dynamic changing of data in decision table.In order to improve the efficiency of attribute reduction while ensuring the simplest results,an improved decision table reduction algorithm is ...
LIU Taotao,MA Fumin,ZHANG Tengfei
doaj   +1 more source

Characterizations for Matrices of Dominant Support Parameters in Soft Sets

IEEE Access, 2020
The matrix of dominant support parameters plays an important role in solving the normal and pseudo parameter reduction problems for soft sets. This article aims to make a fundamental investigation on the properties of matrix of dominant support ...
Banghe Han, Xinyu Nie, Ruize Wu, Shengling Geng   +3 more
doaj   +1 more source

An Attempt of Object Reduction in Rough Set Theory [PDF]

, 2019
Attribute reduction is a popular topic in rough set theory; however, object reduction is not considered popularly. In this paper, from a viewpoint of computing all relative reducts, we introduce a concept of object reduction that reduces the number of ...
KUDO Yasuo, MURAI Tetsuya
core   +2 more sources

Attribute Reduction Methods Based on Pythagorean Fuzzy Covering Information Systems

IEEE Access, 2020
By introducing covering rough sets to Pythagorean fuzzy environment, we construct a new rough set model called the Pythagorean fuzzy λ-covering rough set.
Chen Yan, Haidong Zhang
doaj   +1 more source

Incomplete Dominance-Based Intuitionistic Fuzzy Rough Sets and Their Application in Estimation of Inflation Rates in the Least Developed Countries

IEEE Access, 2023
Although the concepts of imprecision are captured by both rough sets and intuitionistic fuzzy sets, investigations combining these two ideas and their applications in incompletely ordered information systems are scarce.
Iftikhar Ul Haq, Tanzeela Shaheen, Hamza Toor, Tapan Senapati, Sarbast Moslem   +4 more
doaj   +1 more source

Maximum Consistent Block Based Variable Precision Rough Set Model and Attribute Reduction

Jisuanji kexue yu tansuo, 2020
In this paper, attribute reduction of incomplete information system is studied. Firstly, optimistic and pessimistic generalized variable precision rough set models based on maximal consistent blocks are constructed.
SUN Yan, MI Jusheng, FENG Tao, LI Leijun, LIANG Meishe
doaj   +1 more source