Computer Science: Faculty Publications
YinYang Bipolar T-Norms and T-Conorms as Granular Neurological Operators
Document Type
Article
Publication Date
5-2006
Publication Title
2006 IEEE International Conference on Granular Computing
DOI
10.1109/GRC.2006.1635764
ISBN
978-1-5090-9177-5
Abstract
T-norms and T-conorms are extended from the classical unipolar fuzzy lattice 10,11 to the bipolar fuzzy lattice BF = [-1,0] x [0,1]. Bipolar universal modus ponens (BUMP) is introduced and extended to a norm-based granular version for equilibrium-based open-world dynamic reasoning. While classical T-norms and T-conorms can be considered unipolar and linear operators, their bipolar counterparts can be linear or nonlinear. It is shown that bipolar T-norms and T-conorms can be used as granular neurological operators with BUMP in neurological analysis and psychopharmacology.
Recommended Citation
Zhang, Wen-Ran.
2006.
"YinYang Bipolar T-Norms and T-Conorms as Granular Neurological Operators."
2006 IEEE International Conference on Granular Computing: 91-96: IEEE.
doi: 10.1109/GRC.2006.1635764 isbn: 978-1-5090-9177-5
https://digitalcommons.georgiasouthern.edu/compsci-facpubs/23
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