Title
Gaussian Shaped Fuzzy Similarity Inference For Semantic Cell: An Affective Computing In Valence-Arousal Space
Keywords
Fuzzy inference system; IF-THEN rule; Semantic cell; Semantic network; Similarity computing
Abstract
Fuzzy similarity computing under semantic network inference was proposed by using a special formalized semantic cell model. Valence-Arousal affective space under such semantic cell model was regarded as more effectiveness in knowledge presentations particular in IT-THEN rule fuzzy inference system. The fuzzy Implication inference also was addressed to resolve the problem in joint density calculation by Gaussian probability density function and fuzzy Mamndini type implication. The case studies in semantic network using proposed method shows the effectiveness and in difference inputs have been discussed. © 2013 IEEE.
Publication Date
12-1-2013
Publication Title
Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013
Volume
1
Number of Pages
280-284
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/IHMSC.2013.73
Copyright Status
Unknown
Socpus ID
84891935019 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84891935019
STARS Citation
Banisakher, Mubarak; Bush, Pamela Mc Cauley; and Shi, Fuqian, "Gaussian Shaped Fuzzy Similarity Inference For Semantic Cell: An Affective Computing In Valence-Arousal Space" (2013). Scopus Export 2010-2014. 5857.
https://stars.library.ucf.edu/scopus2010/5857