An Algorithm on the Parameter Reduction of Soft Sets
Soft set theory is a mathematical tool for dealing with uncertain. In this paper, the parameter reduction of soft sets is investigated by means of the attribute reduction in information systems and its algorithm is obtained. Moreover, an example is given
Ning-Xin Xie
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Increment algorithm for attribute reduction based on improvement of discernibility matrix [PDF]
An incremental updating algorithm for computing core based on an improved discernibility matrix definition is proposed to improve the efficiency of computing attribute core and attribute reduction in rough sets. This new algorithm is mainly used to solve
Feng, Shao-Rong +3 more
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Heuristic Approaches to Attribute Reduction for Generalized Decision Preservation
Attribute reduction is a challenging problem in rough set theory, which has been applied in many research fields, including knowledge representation, machine learning, and artificial intelligence.
Nan Zhang, Xueyi Gao, Tianyou Yu
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A New Incremental Updating Algorithm for Core Based on Simplified Discernibility Matrix
Firstly, the concept of simplified information system is introduced, the notion of simplified discerniblity matrix is put forward and the method for computing core based on the simplified discerniblity matrix, which can well deal with inconsistent ...
Chang Sheng Zhang
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Discernibility of topological variations for networked LTI systems based on observed output trajectories [PDF]
In this paper, the possibility of detecting topological variations by observing output trajectories from networked linear time-invariant systems is investigated, where the network topology can be general, but the nodes have identical higher-dimensional ...
Duan, Zhisheng +3 more
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Another View on Picture Fuzzy Soft Sets and Their Product Operations with Soft Decision-Making
Cuong [Picture Fuzzy Sets, Journal of Computer Science and Cybernetics 30 (4) (2014) 409–420] has introduced the concept of picture fuzzy soft sets (pfs-sets) relying on his definition and operations of picture fuzzy sets (pf -sets), in which there exist
Samet Memiş
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A binary discernibility matrix attribute reduction algorithm of incomplete decision table is introduced in this paper, which takes the importance of attribute as the heuristic message.
Ying He, Dan He
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Dealing with Missing Data using a Selection Algorithm on Rough Sets
This paper discusses the so-called missing data problem, i.e. the problem of imputing missing values in information systems. A new algorithm, called the ARSI algorithm, is proposed to address the imputation problem of missing values on categorical ...
Jonathan Prieto-Cubides, Camilo Argoty
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Attribute Reduction in Incompleteness and Inconsistent Decision Table Under Grey Dominance Relation [PDF]
For attribute reduction problem in inconsistent decision table whose attribute values are three-parameter interval grey numbers,two attribute reduction algorithms are presented.According to the preference between grey information,a grey dominance ...
LUO Dang,MAO Wenxin,SUN Huifang
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A Granular Reduction Algorithm Based on Covering Rough Sets
The granular reduction is to delete dispensable elements from a covering. It is an efficient method to reduce granular structures and get rid of the redundant information from information systems.
Tian Yang, Zhaowen Li, Xiaoqing Yang
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