Title: Influence of mood states on information processing during decision making using fuzzy reasoning tool and neuro-fuzzy system based on Mamdani approach
Authors: Sachi Nandan Mohanty; Dilip Kumar Pratihar; Damodar Suar
Addresses: School of Computer Engineering, KIIT University, Bhubaneswar – 751024, India ' Department of Mechanical Engineering, Indian Institute of Technology, Kharagpur – 721302, India ' Department of Humanities and Social Sciences, Indian Institute of Technology, Kharagpur – 721302, India
Abstract: This study provides a comparison between traditional fuzzy reasoning tools and a neuro-fuzzy system, both developed based on Mamdani approach in order to determine the influence of mood states on information processing during decision making. To begin, participants responded 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's approach, both traditional fuzzy reasoning tool and a neuro-fuzzy system were designed for a three-input, one-output process. The neuro-fuzzy system was trained using a back-propagation algorithm. Compared to the traditional fuzzy reasoning tool, the neuro-fuzzy system could provide better results.
Keywords: information processing; fuzzy logic; neuro-fuzzy systems; flexibility; fluency; originality; neural networks; mood states; decision making; fuzzy reasoning; Mamdani approach; health risks.
International Journal of Fuzzy Computation and Modelling, 2015 Vol.1 No.3, pp.252 - 268
Received: 22 Mar 2014
Accepted: 17 Jun 2014
Published online: 16 Jun 2015 *