Since its inception, the theory of fuzzy sets has advanced in a variety of ways and in many
disciplines. Applications of fuzzy technology can be found in artificial intelligence, computer …

Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …

Most decision tree induction methods used for extracting knowledge in classification
problems do not deal with cognitive uncertainties such as vagueness and ambiguity …

This paper first provides an overview of data preprocessing, focusing on problems of real
world data. These are primarily problems that have to be carefully understood and solved …

We are glad to present the proceedings of the 5th biennial conference in the Intelligent Data
Analysis series. The conference took place in Berlin, Germany, August 28–30, 2003. IDA …

Fuzzy classification systems based on fuzzy logic are capable of dealing with cognitive
uncertainties such as vagueness and ambiguity involved in classification problems. To build …

Capacity waste management is highly essential because under utilization of capacity is
often referred to as a major reason for lower productivity among industries around the world …

When it is time-consuming or expensive to model a plant using the basic laws of physics, a
neural network approach can be an alternative. From a control engineer's viewpoint a two …

This paper addresses the problem of developing an on-line diagnostic system for
mechanical quality control of household appliances. The selection of a suitable …

El desarrollo de software y hardware computacional ha resultado en la generación de
enormes cantidades de datos almacenados en muchas empresas y organizaciones. Estos …