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The concept of intuitionistic fuzzy sets (IFSs) is considered as a generalization of fuzzy sets and capable of capturing the information that includes some degree of hesitation which is applicable in various fields of research. In the present communication, various existing similarity measures for intuitionistic fuzzy sets have been studied. A new similarity measure for intuitionistic fuzzy sets (IFSs)...
The concept of fuzzy regression model with fuzzy regression coefficients was first introduced in \cite{[1]}, \cite{[2]} and \cite{[3]}. A fuzzy number can be uniquely determined through its position and entropy as described in \cite{[4]}. Hence, by using the concept of fuzzy entropy the estimators of the fuzzy regression coefficients may be estimated. In the present communication, we develop a newer...
The existing fuzzy information system associated with the probabilities of a number of events, does not take into account the effectiveness or importance or utility of these events. In the present communication, we propose a new mathematical model for `useful' fuzzy information system which involves fuzzy information, randomness and utility distribution. The model has been designed in order to study...
The proposed method utilizes morphology and contourlet transform for early detection of breast cancer by enhancing micro calcification features. This CAD technique helps the radiologists in reaching a better assessment. The significant edge information indicating the relevant features in various decomposition levels were preserved while removing the artifacts. Target to background contrast ratio,...
In the present communication, we have implemented the concept of intuitionistic trapezoidal fuzzy numbers (ITFNs) to the study of multiple criteria decision making (MCDM) problem for evaluating the best vendor/supplier whose information take the form of ITFNs. We propose a new algorithm for ITF-MCDM problem where the weights of the involved attributes are supposed to be completely unknown. These weights...
This paper proposes a prognostic model for rehabilitating the chronic obstructive pulmonary disease (COPD) patients in real time. The proposed approach applies a comprehensive predictive model employing a time series forecasting using condensed polynomial neural network with swarm intelligence. Discrete particle swarm optimization (DPSO) filters out the relevant neurons and continuous particle swarm...
Speech signals are one of the most important means of communication among the human beings. In this paper, a comparative study of two feature extraction techniques are carried out for recognizing speaker independent spoken isolated words. First one is a hybrid approach with Linear Predictive Coding (LPC) and Artificial Neural Networks (ANN) and the second method uses a combination of Wavelet Packet...
Human gait is the main activity of daily life. Gait can be used for applications like human identification (in medical field etc). Since gait can be perceived from a distance it can be used for human identification. Gait recognition means identifying the person with his/her gait. Human identification using gait can be used in surveillance. A method is proposed for gait recognition using a technique...
With advancement in Location Based Service and GPS enabled mobile devices, different types of queries to obtain location based information exist in mobile environment. Location based queries or spatial queries are the backbone of Location Based Services. LBS is gaining more popularity in today's world, as they enable the mobile users to obtain location information or location based information. Spatial...
Wireless Sensor Network (WSN) is comprised of small and low-cost sensors deployed in a particular region in order to monitor a phenomena. In this paper, we have addressed some problems, which have significant effects on the performance of WSNs while computing the path from source to the base station. Although in the literature, many MAC protocols for WSNs have been proposed based on QoS to save the...
Deep Packet Inspection is a vital task in network security applications such as Firewalls and Intrusion Detection Systems (IDS). Patterns based detectors used in Packet Inspection implement multi-pattern matching algorithms to check whether the packet payload have a specified patterns in a patterns set. Computational cost is one of the major concerns of the commercial Intrusion Detection Systems (IDSs)...
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