For complex and high-dimensional problems, data-driven identification of classifiers has to deal with structural issues like the selection of the relevant features and effective initial partition of the input domain. Therefore, the identification of fuzzy classifiers is a challenging topic. Decision-tree (DT) generation algorithms are effective in feature selection and extraction of crisp class...

We consider the problem of optimal experimental design in structure identification. Whereas standard approaches simply minimize Shannon’s entropy of the estimated parameter posterior, we show how to select between alternative model configurations, too. Our method specifies the intervention that makes an experiment capable of determining whether or not a particular configuration hypothesis is co...

Data-based identification of fuzzy rule-based classifiers for high-dimensional problems is addressed. A crisp binary decision tree approach is proposed for the selection of the relevant features and effective initial partitioning of the input domain. The decision tree is then transformed into a fuzzy rule-based classifier. Fuzzy classifiers have more flexible decision boundaries than decision t...

The object identi cation problem is particularly hard for XML data, due to its structural exibility. Tree edit distances have been proposed for approximate comparisons among XML trees. However, such distances ignore the semantics implicit in XML data structure, and their use is computationally infeasible for unordered data. In this paper, we de ne a new distance for XML data, the structure awar...

In this study marine sponges of inter tidal zone from Hengam Island Persian Gulf were collected by wading at low tides in Eskeleh station at  locations 55˚ 53ʹ 40ʺ E & 26˚ 40ʹ 53ʺ N.For identifying identification of sponge samples, acid digestion method as a method of early detection and microtome section to identify the skeletal structure were used.All the identified sponges were from class De...