Invited Speaker---Prof. Venkata Subba Reddy Poli


College of Engineering, Sri Venkateswara University, India

Biography: Venkata Subba Reddy Poli is a professor of Computer Science and Engineering, College of Engineering, Sri Venkateswara University, Tirupati,India. He is currently Chairman, Department of Computer Science and Engineering. His research interests are fuzzy inference, Generalized fuzzy logic, fuzzy dataming. He visited Taiwan to present his papers at iFuzzy 2013, 2014 and 2016.

Speech Title: Generalized fuzzy logic for incomplete information
Abstract: Zadeh defined fuzzy sets for incomplete information with single fuzzy membership. Generalized fuzzy set is studied with two fold membership functions “True” and “False”. Generalized fuzzy logic, fuzzy inference and fuzzy reasoning are. Generalized Fuzzy Certainty Factor (GFCF) is studied as the difference of “True “and “False” fuzzy membership functions to eliminate the conflict of evidence in Incomplete Information. The fuzzy truth variables are also discussed for generalized fuzzy sets. The Generalized fuzzy set also studied for “Belief” and Disbelief”. Usually, Business applications may have two opinions “belief” and “disbelief”. The business intelligence needs two opinions while taking the decision. In the knowledge discovery process, decision has to be taken under risk. The fuzzy risk set is defined with fuzzy certainty factor. The business intelligence is nothing but doing business in better way. The fuzzy data mining with a twofold fuzzy set is studied for business intelligence.