Fuzzy Connectives as a Combination Tool in a Hybrid Multi-Neural System
Anne M. P. Canuto, Michael C. Fairhurst, Gareth Howells · International Journal of Neural Systems · 2003
The set of fuzzy connectives can be seen as an important combination tool, such as in combining the antecedent sets of the rules, in multi-criteria decision making and in combining the outputs of neural classifiers in a multi-neural system. This papers investigates the performance of some fuzzy combination schemes applied to a multi hybrid neural system which is composed of neural and fuzzy neural networks. An empirical evaluation in a handwritten numeral recognition task is used to investigate the performance of the presented fuzzy methods with some existing combination methods.