Fuzzy Cognitive Map Modeling is a system modeling approach that has its roots in social science and artificial intelligence. FCM are comparatively easy to create, are well understood by audiences with limited modeling expertise, and are easy to update to reflect the insights of additional model contributors. Accordingly, FCM modeling is gaining popularity in ecological modeling and collaborative planning. The talk will introduce fundamentals and illustrate the use of FCM with several examples from ongoing research projects.
Antonie Jetter is an Associate Professor of Engineering & Technology Management at Portland State University. She teaches courses on new product development, entrepreneurship, and technology marketing to graduate students in engineering. Her research is focused on new product development, managerial cognition, and decision making and leads to insights and methods for managing the early stages of product innovation. In her dissertation, Antonie has pioneered the use of Fuzzy Cognitive Map as a product planning tool. Ongoing research uses Fuzzy Cognitive Maps to model community risk perceptions, drivers of technology acceptance among elderly patients and their caregivers, and differences in the mental models of product development engineers and product users. Antonie holds an MBA (1998) and a Ph.D. in Technology and Innovation Management (2006) from RWTH Aachen University, Germany and has seven years of industry experience in a large technology firm and a high/tech start up.
Computational intelligence, Computational complexity, System design, System theory -- Mathematical models, Fuzzy decision making
Computational Engineering | Systems Engineering
Jetter, Antoine J., "Fuzzy Cognitive Maps for Collaborative Modeling: An introduction" (2016). Systems Science Friday Noon Seminar Series. 96.