A new non-iterative approach for clustering
Pattern Recognition Letters
A fast branch & bound nearest neighbour classifier in metric spaces
Pattern Recognition Letters
A Generic Grouping Algorithm and Its Quantitative Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Classification Rules for Multi-level Multivariate Data
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
Notes on DSRC & WAVE Standards Suite: Its Architecture, Design, and Characteristics
IEEE Communications Surveys & Tutorials
Uncertainty Modeling of Improved Fuzzy Functions With Evolutionary Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A method of identifying influential data in fuzzy clustering
IEEE Transactions on Fuzzy Systems
A fuzzy-logic autonomous agent applied as a supervisory controller in a simulated environment
IEEE Transactions on Fuzzy Systems
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In this research we focus on developing positioning scheme based on short-range wireless signals. To achieve that, we develop a system assuming the availability of multiple fixed access points (5+) and employ Time-of-Arrival (ToA) with Kalman Filter. We also discuss multi/tri-lateration and evaluate some of the root causes for Dilution of Precision (DoP) of calculated positioning. In this article, we present a Simple Fuzzy Clustering Approach (SFCA) aimed at supporting short-range positioning. We use fixed calibrated 2.4 GHz access points. We use real-time observed data while applying our model off-line. We extended the model to mimic the 5.9 GHz Dedicated Short Range Communications (DSRC) signals as defined in IEEE 1609.x. Results are compared in each case and compared to accurately calibrated Differential Global Positioning System (DGPS) record captured on the same testing. We maintained clear Line-of-Sight (LoS) throughout our evaluation and used low speed of the moving vehicles (1