Abstract: The goal of the proposed method is to develop shape prediction algorithm using fuzzy that is computationally fast and invariant. To predict the overlapping and joined shapes accurately, a method of shape prediction based on erosion and over segmentation is used to estimate values for dependent variables from previously unseen predictor values based on the variation in an underlying learning data set.

Navjot Kaur, Sheetal Kundra and Harish Kundra, “Shape Prediction Linear Algorithm Using Fuzzy” International Journal of Advanced Computer Science and Applications(IJACSA), 3(10), 2012. http://dx.doi.org/10.14569/IJACSA.2012.031011

@article{Kaur2012,
title = {Shape Prediction Linear Algorithm Using Fuzzy},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.031011},
url = {http://dx.doi.org/10.14569/IJACSA.2012.031011},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {10},
author = {Navjot Kaur and Sheetal Kundra and Harish Kundra}
}