Abstract: Merger in higher education has been of scholarly interest to researchers in various fields. This work is devoted to challenges related to partner selection for an feasible merger. A systematic approach is proposed based on describing educational organizations via several predefined key numbers from the one hand and their expectations from the other hand. Methods from Boolean factor analysis, formal concept analysis, and Belnap’s logic are further employed in an attempt of drawing meaningful conclusions.

Sylvia Encheva, “Factor Analysis Based Selections” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 5(5), 2016. http://dx.doi.org/10.14569/IJARAI.2016.050507

@article{Encheva2016,
title = {Factor Analysis Based Selections},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2016.050507},
url = {http://dx.doi.org/10.14569/IJARAI.2016.050507},
year = {2016},
publisher = {The Science and Information Organization},
volume = {5},
number = {5},
author = {Sylvia Encheva}
}