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  1. International Journal of Machine Learning and Cybernetics
  2. International Journal of Machine Learning and Cybernetics : Volume 6
  3. International Journal of Machine Learning and Cybernetics : Volume 6, Issue 3, June 2015
  4. Computational reasoning based on complemented distributive lattices
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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 6
International Journal of Machine Learning and Cybernetics : Volume 6, Issue 6, December 2015
International Journal of Machine Learning and Cybernetics : Volume 6, Issue 5, October 2015
International Journal of Machine Learning and Cybernetics : Volume 6, Issue 4, August 2015
International Journal of Machine Learning and Cybernetics : Volume 6, Issue 3, June 2015
Bayesian networks for incomplete data analysis in form processing
Synchronization of a class of memristive neural networks with time delays via sampled-data control
An artificial bee colony algorithm for data collection path planning in sparse wireless sensor networks
Identification of boundary shape using a hybrid approach
Topological approaches to generalized definitions of rough multiset approximations
Pricing electric power options by maximizing the utility of investment wealth with fuzzy measures
An algorithm selection based platform for image understanding using high-level symbolic feedback and machine learning
Fast randomized algorithm with restart strategy for minimal test cost feature selection
Linear discriminant analysis for the small sample size problem: an overview
A kind of approximations of generalized rough set model
Hybrid neural network for classification of graph structured data
Computational reasoning based on complemented distributive lattices
On algebraic study of fuzzy automata
A multiobjective cellular genetic algorithm based on 3D structure and cosine crowding measurement
A data-driven study for evaluating fineness of cement by various predictors
Determining decision makers’ weights in group ranking: a granular computing method
International Journal of Machine Learning and Cybernetics : Volume 6, Issue 2, April 2015
International Journal of Machine Learning and Cybernetics : Volume 6, Issue 1, February 2015
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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Computational reasoning based on complemented distributive lattices

Content Provider Springer Nature Link
Author Shu Rong, Jiang Ju Sheng, Mi Li, Ma
Copyright Year 2014
Abstract Computational reasoning is a practical description of computational logic. In this paper, a new concrete computational reasoning method based on complemented distributive lattices is proposed. Based on some logical operators, an inclusion degree on complemented distributive lattices is defined, which is employed to define the truth degree. Some basic properties of the truth mapping are examined. Then a kind of reasoning by computing in the framework of complemented distributive lattices is developed. The potential value of dealing with knowledge acquisition is expected in future.
Starting Page 475
Ending Page 478
Page Count 4
File Format PDF
ISSN 18688071
Journal International Journal of Machine Learning and Cybernetics
Volume Number 6
Issue Number 3
e-ISSN 1868808X
Language English
Publisher Springer Berlin Heidelberg
Publisher Date 2014-06-17
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Computational reasoning Inclusion degree Implication operator Lattice 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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