The summarization and evaluation of the advances in fuzzy clustering theory are made in
the aspects including the criterion functions, algorithm implementations, validity …

The mountain method of clustering and its relative, the subtractive clustering method, are
studied here. A scheme to improve the accuracy of the prototypes obtained by the mountain …

This chapter is about segmenting medical images with fuzzy models. Probably 80% of the
methods described are based on some form of clustering or classifier design, so Section 2 …

The fuzzy modeling technology, which uses a rule-based description of the relationship
between variables, is discussed. We then turn to the problem of the simultaneous solution of …

Air pollution is one of the primary environmental concerns in France due to the public health
question. People wish to be informed of the air pollution level in real time or to be warned in …

Sparse rule base and interpolation have been proposed as possible solution to alleviate the
geometric complexity problem of large fuzzy set. However, no formal method to extract …

Resistance spot welding is widely used in the field of plate assembly. However, there is
currently no satisfactory nondestructive quality evaluation for this type of welding either in …

Function approximation is a very important practical problem: in many practical applications,
we know the exact form of the functional dependence y= f (x1,…, xn) between physical …

Data mining is a relatively new field in the area of database research and artificial
intelligence. Although it has appeared in research literature for only a few years, it is now …

The major concern of this study is to develop a system that can predict future prices in the
stock markets by taking samples of past prices. Stock markets are complex. Their dramatic …