Kalinga Institute Of Industrial Technology(KIIT) University, India
Sachi Mohanty has completed his PhD from Indian Institute of Technology, Kharagpur June 2014. He has completed Mtech from Kalinga Institute of Industrial Technology (KIIT) University, Bhubaneswar and MCA from Utkal University, Bhubaneswar. Currently Working as a Assistant professor in the school of Computer Science Engineering, KIIT University, Bhubaneswar from November 2013 to till date. His Subject Skills for Teaching on Theory Analysis Design and Algorithm Data structures and its Application Complier Design Computer Network Decision Support System Soft Computing and its Application Machine Learning Management Information System Theory of Automata Subject Skills for Teaching on Particle Matlab SPSS Programming in C Linux Simulation.
This study provides a comparison between traditional fuzzy reasoning tool and neuro-fuzzy system both developed based on Mamdani approach to determine the influence of mood states on information processing during decision making. At first, participants gave their responses to questions on positive and negative prospects involving gains and losses on a health risk problem, and explained the reasons for their decisions in writing. Three independent input variables, namely flexibility, originality and fluency were then derived from the participants’ reasons for their choices. Four linguistic terms, such as low, medium, high and very high were used to represent each of the input variables. Using Mamdani approach, both traditional fuzzy reasoning tool and neuro-fuzzy system were designed for a three-inputs and one-output process. The neuro-fuzzy system was trained using back-propagation algorithm. Compared to the traditional fuzzy reasoning tool, the neuro-fuzzy system could provide better results.