In this paper, the correlation measure of neutrosophic refined(multi-) sets is proposed. The concept of this correlation measure of neutrosophic refined sets is the extension of correlation measure of neutrosophic sets and intuitionistic fuzzy multi-sets. Finally, using the correlation of neutrosophic refined set measure, the application of medical diagnosis and pattern recognition are presented.

adulteration in milk and other dairy products not only is a serious threat to human health but also leads to the economic losses in the dairy industry. utilization of the materials reducing microbial load is a common adulteration. in this study, a machine olfaction (electronic nose) based on 8 metal oxide semiconductor (mos) sensors was fabricated and developed and its capability to formalin de...

ÐThe primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most intensively studied and used in practice. More recently, neural network techniques and methods imported from statistical learning theory have been receiving increasing attention....

Learning of temporal sequences is a topic of research in such different areas as speech and other temporal pattern recognition as well as motor control (for a survey see e.g. Mozer, 1993). In this paper an approach is presented which is particularly suitable for motor control due to the fact that it does not only reproduce temporal sequences in exactly the way they where learned but it is able ...

This chapter presents a new approach in pattern recognition which relies on using fast and efficient techniques in the implementation of basic pattern recognition procedures. More specifically, concerning the pattern preprocessing and feature extraction stage, a novel method is employed in the design of the relevant algorithms. Namely, the Image Block Representation methodology is used in the c...

Artificial intelligent techniques have been widely used in high voltage insulation technology application. In this paper, the effectiveness of artificial intelligent technique to apply for pattern recognition and classification of Partial Discharge (PD) is presented. Partial discharge signal was generated and measured by using an artificial partial discharge source. Characteristics of PD signal...

Speech Emotion Recognition (SER) is a new and challenging research area with a wide range of applications in man-machine interactions. The aim of a SER system is to recognize human emotion by analyzing the acoustics of speech sound. In this study, we propose Spectral Pattern features (SPs) and Harmonic Energy features (HEs) for emotion recognition. These features extracted from the spectrogram ...

Novel pattern recognition techniques using multiple agents for the recognition of handwritten text are proposed in this paper. The concept of intelligent agents and innovative multi-agent architectures for pattern recognition tasks is introduced for combining and elaborating the classiication hypotheses of several classiiers. The architecture of a distributed digit-recognition system dispatchin...