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  1. International Journal of Machine Learning and Cybernetics
  2. International Journal of Machine Learning and Cybernetics : Volume 7
  3. International Journal of Machine Learning and Cybernetics : Volume 7, Issue 2, April 2016
  4. An adjustable multigranulation fuzzy rough set
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International Journal of Machine Learning and Cybernetics : Volume 8
International Journal of Machine Learning and Cybernetics : Volume 7
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 6, December 2016
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 5, October 2016
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 3, June 2016
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 2, April 2016
Assisting cluster coherency via n-grams and clustering as a tool to deal with the new user problem
Periodic oscillatory behavior on a four-node neural network model with distributed delay
Twin support vector machines based on fruit fly optimization algorithm
Relaxed passivity conditions for discrete-time stochastic delayed neural networks
Interval valued intuitionistic fuzzy sets in $$\Gamma $$ -semihypergroups
Optimal gray PID controller design for automatic voltage regulator system via imperialist competitive algorithm
Multi-class LSTMSVM based on optimal directed acyclic graph and shuffled frog leaping algorithm
Mining frequent itemsets using the N-list and subsume concepts
An adjustable multigranulation fuzzy rough set
Restricted overlay routing
Certain types of intuitionistic fuzzy directed hypergraphs
Fast algorithms of attribute reduction for covering decision systems with minimal elements in discernibility matrix
Pivot selection for metric-space indexing
An efficient design of CMOS comparator and folded cascode op-amp circuits using particle swarm optimization with an aging leader and challengers algorithm
International Journal of Machine Learning and Cybernetics : Volume 7, Issue 1, February 2016
International Journal of Machine Learning and Cybernetics : Volume 6
International Journal of Machine Learning and Cybernetics : Volume 5
International Journal of Machine Learning and Cybernetics : Volume 4
International Journal of Machine Learning and Cybernetics : Volume 3
International Journal of Machine Learning and Cybernetics : Volume 2
International Journal of Machine Learning and Cybernetics : Volume 1

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An adjustable multigranulation fuzzy rough set

Content Provider SpringerLink
Author Chen, Yan
Copyright Year 2015
Abstract Multigranulation rough set is a novel generalization of Pawlak’s rough set through using multiple granular structures instead of single granular structure. By considering the maximal and minimal operators used in the optimistic and pessimistic multigranulation fuzzy rough sets, we devote to present an adjustable multigranulation fuzzy rough set. Such new model is constructed on a parameterized binary operator, which is an improvement of maximal and minimal operators. It is shown that both optimistic and pessimistic multigranulation fuzzy rough sets are special cases of adjustable multigranulation fuzzy rough set. Moreover, we also derive an approximation quality significance measure and design a forward greedy algorithm for granular structures selection. Experiments show the validity of the proposed algorithm from search strategy in the meaning of parameters used in adjustable multigranulation fuzzy rough sets.
Starting Page 267
Ending Page 274
Page Count 8
File Format PDF
ISSN 18688071
Journal International Journal of Machine Learning and Cybernetics
Volume Number 7
Issue Number 2
e-ISSN 1868808X
Language English
Publisher Springer Berlin Heidelberg
Publisher Date 2015-10-13
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Fuzzy rough set Fuzzy decision tables Consistency measure Attribute reduction Computational Intelligence Artificial Intelligence (incl. Robotics) Control, Robotics, Mechatronics Statistical Physics, Dynamical Systems and Complexity Systems Biology Pattern Recognition
Content Type Text
Resource Type Article
Subject Artificial Intelligence Computer Vision and Pattern Recognition Software
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