Classification schemes organize objects into hierarchy structure of knowledge by grouping them with common characteristics. Managers prefer resorting to existing classifications schemes for decision making for their advantages over perplexity and huge amount of detail bottom information. However, single classification scheme is not enough for certain purposes. More and more applications call fo...

This paper provides a framework for integrating fuzzy expert systems with discrete event simulation, which will be utilized to enhance the input modeling process in discrete event simulation. Predicting the activity output (i.e. duration) using fuzzy expert systems will provide a new modeling feature to discrete event simulation. In previous studies, fuzzy set theory was mainly utilized to cont...

Though the data integration problem of relational databases has been well studied, little work addresses the problem in the context of fuzzy relational databases. The fuzzy relational model relies on the specification of either a similarity relation or a proximity relation for each scalar domain in the fuzzy database. Without the constraint of max-min transitivity, proximity relations can be de...

Recently the applications of unmanned systems are steadily increasing. Unmanned Surface Vessels (USV) can be used for military and rescue purposes. This paper designs a Fuzzy-LQR controller for Heading control of the USV system. A new analysis of the fuzzy system behavior presented helps to make possible precise integration of LQR features into fuzzy control. This Fuzzy-LQR controller is used t...

Uwe Keller, Donald Reay, Roy Leitch Intelligent Systems Laboratory Dept. of Computing & Electrical Engineering Heriot-Watt University, Edinburgh EH14 4AS, Scotland, UK [email protected] Abstract In this paper Fuzzy Region Simulation (FRenSi), which provides solutions for fuzzy dynamical models, is applied to qualitative adaptive control. FRenSi, combines fuzzy model parameters and fuzzy initial...

Recent research has led to proposals for the integration of fuzzy based information and decision rules in business process models with use of concepts based on the fuzzy set theory. While the proposed Fuzzy EPCs provide an adequate method for conceptual representation of fuzzy business process models, the issue of exchanging and transforming such models, together with its enclosed executable co...

We review the main methods combining wavelet to soft computing. The integration of wavelet theory into soft computing started more than ten years ago, using wavelet analysis essentially as a preprocessing method. The first real integration of wavelet into soft computing coincided to the development of wavelet-networks. In the last three years, an increasing number of applications of wavelet-net...

| The purpose of this contribution is to deal with the integration of the genetic algorithms and the fuzzy logic. We analyze the application of one area in the other, some results, and some open questions on the bidirectional connection .