Confidence-Interval-Fuzzy-Model-Based Indoor Localization.

In this paper, an efficient indoor localization algorithm based on the confidence-interval fuzzy model is presented. The width of the confidence interval is essential within the proposed fingerprinting method for calculating weights, which are then taken into account while searching for the K nearest neighbors in the database of fingerprints. For each beacon in the test room, a new confidence-inte...