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A neuro-fuzzy controller with a compromise fuzzy reasoning

Rutkowski L., Cpałka K.

Control and Cybernetics

2002

Vol. 31, no 2

297-308

This paper presents a compromise approach to neuro-fuzzy controllers. It includes both Mamdani (constructive) and logical (destructive) fuzzy inference. New neuro-fuzzy controllers are derived and simulation results are presented.

Implication-Based Neuro-Fuzzy Architectures

Rutkowska D., Nowicki R.

International Journal of Applied Mathematics and Computer Science

2000

Vol. 10, no 4

675-701

This paper presents connectionist multi-layer architectures of neuro-fuzzy systems based on various fuzzy implications. The well-known Mamdani approach (constructive) and the logical approach (destructive) are considered. Two kinds of architectures, a simpler and a more general one, are distinguished. Examples of application to classification and control problems are provided.