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FSKD
2005
Springer
94views Fuzzy Logic» more  FSKD 2005»
14 years 29 days ago
Incremental Target Recognition Algorithm Based on Improved Discernibility Matrix
Abstract. An incremental target recognition algorithm based on improved discernibility matrix in rough set theory is presented. Some comparable experiments have been completed in o...
Yong Liu, Congfu Xu, Zhiyong Yan, Yunhe Pan
GRC
2005
IEEE
14 years 1 months ago
Improved rule based rough set approach for target recognition
An incremental target recognition algorithm based on improved discernibility matrix in rough set theory is presented. We compare the new approach with our previous nonincremental a...
Yong Liu, Congfu Xu, Zhiyong Yan, Yunhe Pan
RSEISP
2007
Springer
14 years 1 months ago
Checking Brain Expertise Using Rough Set Theory
Most information about the external world comes from our visual brain. However, it is not clear how this information is processed. We will analyze brain responses using machine lea...
Andrzej W. Przybyszewski
FUZZIEEE
2007
IEEE
14 years 1 months ago
Tolerance-based and Fuzzy-Rough Feature Selection
— One of the main obstacles facing the application of computational intelligence technologies in pattern recognition (and indeed in many other tasks) is that of dataset dimension...
Richard Jensen, Qiang Shen
RSKT
2009
Springer
14 years 2 months ago
Three-Way Decision: An Interpretation of Rules in Rough Set Theory
Abstract. A new interpretation of rules in rough set theory is introduced. According to the positive, boundary, and negative regions of a set, one can make a three-way decision: ac...
Yiyu Yao
RSFDGRC
2009
Springer
14 years 2 months ago
Fuzzy Sets and Rough Sets for Scenario Modelling and Analysis
Abstract. Both fuzzy set theory and rough set theory play an important role in data-driven, systems modelling and analysis. They have been successfully applied to building various ...
Qiang Shen
COSIT
2009
Springer
165views GIS» more  COSIT 2009»
14 years 2 months ago
To Be and Not To Be: 3-Valued Relations on Graphs
Spatial information requires models which allow us to answer ‘maybe’ to questions asking whether a location lies within a region. At the same time, models must account for data...
John G. Stell
ISMVL
2009
IEEE
161views Hardware» more  ISMVL 2009»
14 years 2 months ago
Mining Approximative Descriptions of Sets Using Rough Sets
Using concepts from rough set theory we investigate the existence of approximative descriptions of collections of objects that can be extracted from data sets, a problem of intere...
Dan A. Simovici, Selim Mimaroglu