Neuro-fuzzy rule generation: survey in soft computing framework
- 1 May 2000
- journal article
- review article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Neural Networks
- Vol. 11 (3), 748-768
- https://doi.org/10.1109/72.846746
Abstract
The present article is a novel attempt in providing an exhaustive survey of neuro-fuzzy rule generation algorithms. Rule generation from artificial neural networks is gaining in popularity in recent times due to its capability of providing some insight to the user about the symbolic knowledge embedded within the network. Fuzzy sets are an aid in providing this information in a more human comprehensible or natural form, and can handle uncertainties at various levels. The neuro-fuzzy approach, symbiotically combining the merits of connectionist and fuzzy approaches, constitutes a key component of soft computing at this stage. To date, there has been no detailed and integrated categorization of the various neuro-fuzzy models used for rule generation. We propose to bring these together under a unified soft computing framework. Moreover, we include both rule extraction and rule refinement in the broader perspective of rule generation. Rules learned and generated for fuzzy reasoning and fuzzy control are also considered from this wider viewpoint. Models are grouped on the basis of their level of neuro-fuzzy synthesis. Use of other soft computing tools like genetic algorithms and rough sets are emphasized. Rule generation from fuzzy knowledge-based networks, which initially encode some crude domain knowledge, are found to result in more refined rules. Finally, real-life application to medical diagnosis is provided.Keywords
This publication has 128 references indexed in Scilit:
- Evolutionary modular design of rough knowledge-based network using fuzzy attributesNeurocomputing, 2001
- A search technique for rule extraction from trained neural networksPattern Recognition Letters, 1999
- POPFNN: A Pseudo Outer-product Based Fuzzy Neural NetworkNeural Networks, 1996
- Review Neuro-fuzzy computing for image processing and pattern recognitionInternational Journal of Systems Science, 1996
- Adaptable neuro production systemsNeurocomputing, 1996
- Extraction of rules from discrete-time recurrent neural networksNeural Networks, 1996
- Survey and critique of techniques for extracting rules from trained artificial neural networksKnowledge-Based Systems, 1995
- Combining rough sets learning- and neural learning-method to deal with uncertain and imprecise informationNeurocomputing, 1995
- Fuzzy Kohonen clustering networksPattern Recognition, 1994
- Logical operation based fuzzy MLP for classification and rule generationNeural Networks, 1994