In this article an outline of a fuzzy qualitative framework for the indoor rowing kinematics analysis have been proposed. Main goal of introducing this fuzzy qualitative framework is to bridge the gap between high level of quantitative details obtained with various present – day sensory or video inputs and symbolic representation used by rowing experts. A Fuzzy qualification process of kinemati...

This paper focus several stability issues regarding the modeling of the dynamics of qualitative real world systems, and the ability of Fuzzy Cognitive Maps and Rule -Based Fuzzy Cognitive Maps to provide a faithful modeling in what concerns the stability properties of those systems. It also introduces the concept of Intrinsic Stability as a necessary property of qualitative system dynamics mode...

0965-9978/$ see front matter 2008 Elsevier Ltd. A doi:10.1016/j.advengsoft.2008.10.006 * Corresponding author. Address: College of Com neering, Hohai University, China. E-mail address: [email protected] (L. H With the rapid development of personalized information retrieval, user profile plays an important role. In this paper, we propose a fuzzy clustering method of construction of ontol...

-Robust control has long been the purview of quantitative linear control techniques, while qualitative, symbolic control has been deemed more suitable to obtaining complex control objectives that require only low output precision. The intelligent techniques of Fuzzy control have, however, shown promise in obtaining results comparable to those obtained from H∞ and H2 robust control techniques. O...

Qualitative Reasoning offers an approach to analyse system behaviours where standard numerical techniques are impossible or impractical. The theory behind Qualitative Reasoning is very simple, however current implementations are not very efficient. We have developed a Qualitative Reasoning engine with a novel parallel abstract architecture. Recognising several stages within the engine to be exe...

In some statistical process control applications in the real world, quality of a process or a product is characterized by a relationship between two or more variables, which is referred to as profile. Understanding and checking the stability of process over time can be facilitated by monitoring the quality profile in phase I. Sometimes the quality characteristics may be linguistic, imprecise, v...

We study the qualitative behavior of the positive solutions of a second-order rational fuzzy difference equationwith initial conditions being positive fuzzy numbers, and parameters are positive fuzzy numbers. More precisely, we investigate existence of positive solutions, boundedness and persistence, and stability analysis of a second-order fuzzy rational difference equation. Some numerical exa...

The Fuzzy Constraint Networks model, a generalization of the Disjunctive Temporal Fuzzy Constraint Networks, is a framework that allows representing and reasoning with fuzzy qualitative and quantitative complex constraints. However, its general complexity is exponential, and we need to find tractable subclasses. In this paper we propose two algorithms to deal with a tractable subclass named Ser...

Though traditional neural networks and fuzzy logic are powerful universal approximators, however without some refinements, they may not, in general, be good approximators for adaptive systems. By extending fuzzy sets to qualitative fuzzy sets, fuzzy logic may become universal approximators for adaptive systems. Similar considerations can be extended to neural networks.

Clustering analysis of the gene expression profiles has been used for identifying the functions of unknown genes. Fuzzy clustering method, which is one category of clustering, assigns one sample to multiple clusters as their degrees of membership. It is more appropriate for analyzing gene expression profiles because genes usually belong to multiple functional families. However, general clusteri...