Gaussian Shaped Fuzzy Similarity Inference for Semantic Cell: An Affective Computing in Valence-Arousal Space

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.