35 ABSTRACT This paper presents a new approach for power signal time series data mining using S-transform based K-means clustering technique and fuzzy decision tree. Initially the power signal time series disturbance data are pre-processed through an advanced signal processing tool such as S-transform and various statistical features are extracted, which are used as inputs to the K-means algori...

Keywords--Fuzzy reasoning, Fuzzy transform, Fuzzy optimization, Multiple rules, Interpolation, Scheduling. *Author to whom all correspondence should be addressed. This work is supported by the National Key Basic Research and Development Program (No. 2002CB312200), the National Natural Science Foundation of China (No. 60004010, No. 60274045, No. 60443009). 0898-1221/06/$ see front matter (~) 200...

this paper presets a method including a combination of the wavelet transform and fuzzy function approximation (ffa) for high impedance fault (hif) detection in distribution electricity network. discrete wavelet transform (dwt) has been used in this paper as a tool for signal analysis. with studying different types of mother signals, detail types and feeder signal, the best case is selected. the...

Fuzzy transform is a powerful tool for approximation of continuous functions. The paper aims at constructing approximation models on the basis of a generalization of fuzzy partition. We will prove the best approximation properties in the corresponding approximation spaces. Mathematics Subject Classificaion: 41A30, 41A45

This contribution focuses on inverse fuzzy transforms (shortly inverse F-transforms) over residuated lattices introduced by I. Perfilieva and their approximation properties. We will try to reduce some requirements used in the original work to prove Approximation theorem. Moreover, we show in which sense F-transforms are the best approximations. Keywords— Fuzzy transform, Approximation, Extensio...

Semiconductor gas sensors are essentially not selective to detect a single chemical species in a gaseous mixture and also the response of the sensor in most cases is influenced by the variations of ambient humidity and temperature. One of the solutions is the analysis of the dynamic response of a single sensor with modulated temperature. For the non-linear output signal the fast Fourier transfo...

The paper presents models and corresponding algorithms for solving fuzzy multicriteria decision making problems. The models use or transform the initial information to fuzzy preference relations by each criterion. These relations possess required properties to solve the problems of choice or ordering of the alternatives. The weights of the criteria are real numbers or weighting functions.

In this paper we rst summarize t he more important aspects of a Logic Fuzzy Relational Database and w e s h ow h ow a fuzzy relational database can be representedand h andled using rst order logic. Given that t he results obtained for fuzzy databasesare satisfactory, we are tackling now t he problem of uncertain fuzzy databases considering that t he fuzzy values stored in the d a tabase are att...

Abstract: Face recognition is the most emerging research area of the pattern recognition since the early 1990s. This paper presents a new classifier called modified fuzzy support vector machine (MFSVM) by modification in membership function of Fuzzy Support Vector Machine using Combination of Distance Feature, Correlation. We use based on discrete wavelet transform (DWT), discrete Cosine transf...