Title :
Fuzzy cognitive map for domain experts with no artificial intelligence expertise
Author_Institution :
Coll. of Eng. & Sci., Victoria Univ., Melbourne, VIC, Australia
Abstract :
Fuzzy Cognitive Map (FCM) is a tool for modeling human beings\´ causal knowledge. As compared to many other knowledge models, it is much easier for domain experts to understand. However, domain experts with no computer science expertise still have difficulties in express their knowledge into FCM directly. Majority of the FCM applications in recent years are reported by computing experts in collaboration with domain experts. This paper provides a new FCM model to enable domain experts express their knowledge with FCM directly by removing the "specialized" tasks from the modeling process, including the definition of membership functions, the definition of decision functions and the normalization. This is an effort to reshape FCM as a tool for experts in a wide range of domains, aiming at a similar popularity or availability like that of concept maps.
Keywords :
cognition; fuzzy reasoning; knowledge representation; FCM model; decision functions; domain experts; fuzzy cognitive map; human being causal knowledge modeling; membership functions; normalization; specialized tasks; Artificial intelligence; Computational modeling; Decision making; Fuzzy cognitive maps; Sugar; Vectors; Visualization; Decision Making; Fuzzy Cognitive Map; Knowledge Modelling;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on
DOI :
10.1109/ICARCV.2014.7064353