The Use of Fuzzy Logic in Classification
Professor Amaury A. Caballero
Florida International University
Department of Electrical and Computer Engineering
Miami, Florida, USA
Abstract: When determining the degree of coincidence of any multi-feature obtained information, received in the form of a fuzzy vector, to a pre-established known pattern, two general steps should be followed. The first step is to eliminate the features that have little or no effect to the final results and to maintain only those that will influence the pattern recognition. This step could be defined as the classification process and is imperative for the simplification of the problem. One example of classification that could considerably reduce system costs is when using sensors distributed along an industrial process to manage information at a central location. Several methods could be used for classification, such as statistical methods, rough sets, fuzzy logic or information theory. The second step is to find out the correlation between the received fuzzy vector and the vector defining the known pattern using the previously selected features. For this part, the use of fuzzy logic is extremely convenient. The present work analyzes some of the methods used for classification and pattern recognition based on concrete and practical examples.
Brief Biography of the Speaker:
Amaury A. Caballero obtained his Bachelor Degree in Electrical Engineering from the University of Havana, Cuba, earned his Ph.D. in Technical Cybernetics from the Energy Institute of Moscow, Russia, and his Professional Engineer License from the state of Florida, USA. He taught and conducted research at the Higher Polytechnic Institute of Havana, where he became a Full Professor and directed research in the areas of Automatic Control and Robotics. He was also a member of the Higher Scientific Council of the Cuban Academy of Sciences and received awards for his work from the Cuban Ministry of Higher Education and the Technical University of Brno, in Czech Republic, where he also participated in a graduate study and research of robotics in conjunction with other faculty members. He has been also given presentations about fuzzy logic at the “Universidad de Pamplona” in Colombia, the “Universidad Católica de Santa María”, and the “Universidad Autonoma” in Peru, the “Universidad Tecnologica Centroamericana” in Honduras, and the “Universidad Autonoma Estatal del Estado de Hidalgo”, in Mexico. Dr. Caballero has published two books and obtained five certificates of invention in the area of automatic control. He also has published research reports, journals papers and proceedings in scientific conferences, totaling over 100 publications. Presently, he is a University Lecturer at Florida International University, where he has developed two courses, and taught nine electrical engineering undergraduate courses. He has also taught graduate courses in fuzzy logic at Florida International University and the “Universidad Autonoma Estatal del Estado de Hidalgo”, in Mexico. Among other activities, he has conducted in-depth research in the areas of automation applied to construction management, and in the use of rough sets and fuzzy logic for object discrimination in databases.