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We investigate the issue of obtaining weights, which are associated with aggregation in fuzzy signatures, from real world data. Our approach will provide a way to extract the relevance of lower levels to the higher levels of the hierarchical fuzzy signature structure. We also handle the non-differentiability of max-min aggregation functions for gradient(More)
Fuzzy communication contains vague or imprecise components and it might lack of abundant information. If two entities (man or machine) are communicating by a fuzzy channel, it is necessary that both ends possess the same codebook. The codebook might partly consist of common knowledge but it usually requires a context dependent part that is either learned by(More)
In our previous works model identification methods were discussed. The bacterial evolutionary algorithm for extracting a fuzzy rule base from a training set was presented. The Levenberg-Marquardt method was also proposed for determining membership functions in fuzzy systems. The combination of evolutionary and gradient-based learning techniques -the(More)
Fuzzy logic has been recognized as a useful approach for information retrieval. It helps identify partially matched documents for a given query so that ranking the relevant documents becomes straightforward. Unfortunately, research on fuzzy information retrieval only focuses on the estimation of relevancy of the retrieved documents, but lacks the estimation(More)
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