Classification using Fuzzy Cognitive Maps & Fuzzy Inference System

نویسندگان

  • Kanika Bhutani
  • Yogita Gigras
چکیده

Fuzzy classification has become very necessary because of its ability to use simple linguistically interpretable rules and has get control over the limitations of symbolic or crisp rule based classifiers. This paper mainly deals with classification on the basis of soft computing techniques Fuzzy cognitive maps and fuzzy inference system. But the data available for classification contain some missing or ambiguous data so it is better to use the Neutrosophic logic for classification.

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تاریخ انتشار 2015