Paper Info
Title
Rule Based Fuzzy Cognittive Maps-Expressing Time in Qualitative System Dynamics
Abstract
Time is essential in the study of System Dynamics. When we are trying to represent and analyze the dynamics of complex quantitative systems, the problem of expressing the "effect" of time flow is naturally solved since the mathematical equations that describe the relations between the entities of the system are a function of time. However, if we are dealing with real world qualitative systems that are impossible or difficult to model using mathematical equations, then the use of natural language becomes the best tool to represent the system and expressing time influence becomes a real issue that has not been addressed before. This paper introduces a coherent procedure to implicitly represent time in Rule Based Fuzzy Cognitive Maps which are a previously introduced methodology and tool to represent and simulate the dynamics of qualitative systems.
Year
DOI
Venue
2001
10.1109/FUZZ.2001.1007303
FUZZ-IEEE
Keywords
Field
DocType
system dynamics,fuzzy rulebased cognitive maps,dynamics,knowledge based systems,knowledge representation,mathematical model,neural networks,feedback,mathematical equations,fuzzy cognitive map,natural languages,natural language,rule based,cognitive map,fuzzy cognitive maps,fuzzy systems
Neuro-fuzzy,Rule-based system,Knowledge representation and reasoning,Fuzzy classification,Computer science,Fuzzy set operations,Fuzzy cognitive map,Theoretical computer science,Artificial intelligence,System dynamics,Fuzzy control system,Machine learning
Conference
Citations 
PageRank 
References 
8
1.18
1
Authors
2
Name
Order
Citations
PageRank
João Paulo Carvalho111017.52
José Alberto Tomé292.23