The concept of approximate reasoning as it was con ceived by Zadeh provides a framework which al lows to model and process vague linguistic informa tion The idea is to model linguistic terms by fuzzy sets their logical relationship by fuzzy relations and their composition by the so called compositional rule of inference As an important eld of applica tions we refer to control processes for whic...

Since Zadeh [21] introduced Fuzzy Sets, many discussions have taken place whether Fuzzy Logic (FL) deserves a place in control theory. Three properties speak in favour of FL control. The first being its robustness against parameter uncertainty [3] [12], the second the fact that the FL controller output is normalized. While linear PID controllers assume that the controller output can be much lar...

Neural networks and fuzzy systems are well known soft computing techniques, which date back several decades since the preliminary work of McCulloch and Pitts, Grossberg, Zadeh, and dozens of other precursors. At first, the neural network was believed to be "simple and workable solution" for all the difficult problems can be dealt with, and then gave rise to a broad interest in research around t...

Zadeh in 1965 introduce the concept of a fuzzy set which now have a wide range of applications in various fields of Engineering Sciences, Computer Science and Management Sciences. It is worth mentioning here that for applications of fuzzy sets mostly associative algebraic structures are used such as in 2003, Mordeson, Malik and Kuroki have discovered the applications of fuzzy semigroups in fuzz...

July 13, 2008, Sunday 8:00 am 5:00 pm Conference Registration (Conf. Registration Desk) 7:30 8:30 am Informal Meet & Greet – Breakfast (Pavilion 4) 8:30 8:40 am Welcome, Conference Opening Remarks (Pavilion 6) 8:40 9:40 am KEYNOTE(1) (Pavilion 6) Lotfi Zadeh, BISC, UC Berkeley, USA Computation with Imprecise Probabilities 9:40 10:40 am KEYNOTE(2) (Pavilion 6) Hojjat Adeli, The Ohio State Univer...

Looking back in time, what is really amazing is the diversity of fields, where intuitions about fuzziness were expressed and more or less formalized, and the number of scientists who participated to the emergence of the fuzzy set concept. Also it is surprising to see how long it took before such a simple, although powerful, idea of graded membership, could be cast into a proper, widely accepted...

In 1998, Bonissone (1998) perceived soft computing to be a recently coined term, describing the symbiotic use of many emerging computing disciplines, amongst these Fuzzy Logic (introduced by Zadeh, 1965). They suggested that fuzzy logic gives us a language, with syntax and local semantics, in which we can translate our qualitative knowledge about the problem to be solved, with its main characte...

This paper deals with the simplest fuzzy PI controllers under various defuzzification methods. The various simplest fuzzy PI controllers consist of two triangular input fuzzy sets and three triangular output fuzzy sets on the universe of discourse of input and output variables, respectively, linear control rules, intersection T-norm, Lukasiewicz and Zadeh OR T-conorms, and any valid inference m...

33 Algorithmic Analysis of Clinical and Neuropsychological Data in Localization-Related Epilepsy Masoud Latifi-Navid, Department of Mechanical Engineering, Middle East Technical University, Ankara, Turkey Kost V. Elisevich, Department of Clinical Neurosciences, Spectrum Health System, Grand Rapids, MI, USA Hamid Soltanian-Zadeh, Department of Electrical and Computer Engineering, Control and Int...

In [11] Zarrabi-Zadeh and Chan proposed an algorithm to compute an approximate minimum spanning ball in the streaming model of computation and showed by an elegant analysis that the radius of the approximate ball is to within 3/2 of the exact one. Inspired by this result, in this paper we consider the extension of this result to computing approximate minimum spanning ellipses. The ball algorith...