This paper presents a theoretical prediction of selection procedure for fluid film journal bearing by incorporating fuzzy approach. In this paper a fuzzy model is proposed for selection of hydrostatic, hydrodynamic and hybrid journal bearing. Selection criteria is formulated for the choice of space requirement, total cost of bearing and load bearing capacity of the related journal bearing. This...

This paper applies fuzzy set theory to evaluate the service quality of online auction. Service quality is a composition of various criteria. Among them many intangible attributes are difficult to measure. This characteristic introduces the obstacles for respondent in replying to the survey. So as to overcome this problem, we invite fuzzy set theory into the measurement of performance. By using ...

This paper one of the series of papers in which we lay down the foundations for design of trustworthy computing systems. We propose here a methodology to perform behavior-based intrusion detection on security protocols using fuzzy relational methods. Fuzzified Allen temporal algebra plays an important role in capturing the time dimension of concurrent activites of principals as well as of intru...

There are various techniques for data mining and data analysis. Data mining is very important in the information retrieval areas especially when the data amounts are very large. Among them, hybrid approaches combining two or more algorithms gain importance as the complexity and dimension of real world data sets grows. In this paper, we present an application of evolutionary-fuzzy classification...

To reduce the high dimensionality required for training of feature vectors in speaker identification, we propose an efficient GMM based on local PCA with fuzzy clustering. The proposed method firstly partitions the data space into several disjoint clusters by fuzzy clustering, and then performs PCA using the fuzzy covariance matrix on each cluster. Finally, the GMM for speaker is obtained from ...

After introducing the central air-conditioning terminal units system, established a fuzzy control system based on Lonworks. System focuses on the design of fuzzy controller with intelligent nodes, Input signal of fuzzy controller were the concentration and concentration rate of CO2, output signal was the volume of fresh air change, designed a two-dimension fuzzy controller. Based on the search ...

Gene subset selection is essential for classification and analysis of microarray data. However, gene selection is known to be a very difficult task since gene expression data not only have high dimensionalities, but also contain redundant information and noises. To cope with these difficulties, this paper introduces a fuzzy logic based pre-processing approach composed of two main steps. First, ...

This paper presents a new adaptive fuzzy wavelet network controller (A-FWNC) for control of nonlinear affine systems, inspired by the theory of multiresolution analysis (MRA) of wavelet transforms and fuzzy concepts. The proposed adaptive gain controller, which results from the direct adaptive approach, has the ability to tune the adaptation parameter in the THEN-part of each fuzzy rule during ...

A generic temporal and fuzzy ontological framework (GTFOF) is presented, specific to the task of designing temporal and fuzzy database system. The framework includes both time and fuzzy dimension in deigning patient information system in a hospital environment. The proposed framework is essential for developing knowledge management systems (KMS) in healthcare environments. The importance of ont...