Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Case-based reasoning: a research paradigm
AI Magazine
Fuzzy sets and operations research: perspectives
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Uncertainty-Based Information: Elements of Generalized Information Theory
Uncertainty-Based Information: Elements of Generalized Information Theory
Fuzzy logic application in compiling geohazard macro-zone maps
FS'09 Proceedings of the 10th WSEAS international conference on Fuzzy systems
A fuzzy classifier based on correlation matrix memories
FS'09 Proceedings of the 10th WSEAS international conference on Fuzzy systems
Artificial Intelligence
A simulation-based fuzzy model for traffic signal control
NN'10/EC'10/FS'10 Proceedings of the 11th WSEAS international conference on nural networks and 11th WSEAS international conference on evolutionary computing and 11th WSEAS international conference on Fuzzy systems
Fuzzy system approach to symptoms in schizophrenia
NN'10/EC'10/FS'10 Proceedings of the 11th WSEAS international conference on nural networks and 11th WSEAS international conference on evolutionary computing and 11th WSEAS international conference on Fuzzy systems
Fuzzy set approach to the assessment of student-centered learning
IEEE Transactions on Education
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Mathematical modelling and Case-Based Reasoning (CBR) are the two principal methods used for the solution of real world problems. In the present paper we attempt a mathematical description of the above processes by using principles of fuzzy logic and of uncertainty theory. Examples are also presented to illustrate our results.