A new supervised neural network architecture has been introduced, called Supervised ART-I. It has the accuracy of Fuzzy ARTMAP in classifying of both binary and analog arbitrary multi-valued input patterns. However, it is quicker in learning and classifying, has fewer parameters and requires less memory, due to its simple architecture. The Supervised ART-I has been built from a single Fuzzy ART...

Clustering for data aggregation is essential nowadays for increasing the wireless sensor network (WSN) lifetime, by collecting the monitored information within a cluster at a cluster head. The clustering algorithm reduces overall transmission of data from each sensor to the sink node thus energy spent by individual sensor node is minimized .The cluster heads collect all sensed information from ...

Vehicular Ad hoc Networks (VANET) rely on the cooperation of the nodes to forward packets for each other. Some nodes may decide not to cooperate to save their resource while still using network resources. These nodes are called selfish. It has been shown that presence of such selfish nodes degrades the overall performance of a vehicular ad hoc network. To address this problem, we propose a fuzz...

Decision Tree Induction (DTI), one of the Data Mining classification methods, is used in this research for predictive problem solving in analyzing patient medical track records. In this paper, we extend the concept of DTI dealing with meaningful fuzzy labels in order to express human knowledge for mining fuzzy association rules. Meaningful fuzzy labels (using fuzzy sets) can be defined for each...

In this paper we propose an adaptive routing algorithm in which the link cost are dynamically assigned using a fuzzy system. The traffic in the network is re-routed to nodes, which are less congested, or have spare capacity. Based on a set of fuzzy rules, link cost is dynamically assigned depending upon the present condition of the network. Distance vector algorithm, which is one of the shortes...

In this paper a new parallel version of finding the Fuzzy Reasoning Path (FRP) using the knowledge representation model, introduced by Chandwani & Chaudhari [1] known as Fuzzy Deduction Graph (FDG) is presented. In an FDG, a systematic method of finding the Fuzzy Reasoning Path (FRP) already exists, which is based on Dijkstra's shortest path framework [2]. Our FRP algorithm is conglomerati...

The objective of this paper is to deal with the fuzzy conic program- ming problems. The aim here is to derive weak and strong duality theorems for a general fuzzy conic programming. Toward this end, The convexity-like concept of fuzzy mappings is introduced and then a speci c ordering cone is established based on the parameterized representation of fuzzy numbers. Un- der this setting, duality t...

In this paper, a fuzzy based method for hazardous contaminants localization using sensor networks will be proposed. The proposed method can perform well in noisy environments and in case of faulty sensor readings. Each node senses the contaminant concentration value around itself and broadcasts it along with its position information through sensor network. This way, all nodes have the current p...

In recent times, the demand for real-time multimedia applications is rapidly increased due to the increasing mobile users. Wireless Sensor Network (WSN) often suffers because of the overhead produced during message passing, constant energy and node cost. To provide solution to these issues, in this study, we propose Fuzzy and Gravitational Search Based Routing Protocol for Lifetime Enhancement ...

Routing real-time traffic with good Quality of Service (QoS) is a challenging task in Mobile Ad-Hoc Networks (MANETs). Energy Aware Fuzzy based Multi Constrained Single path QoS Routing (E-FMSQR) protocol which is an extension of AODV is proposed to find an optimal path by considering multiple QoS metrics. Considering Multiconstraints like Bandwidth, Delay, Number of Hops and Energy, a single f...