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Research Article | Open Access |

Factor Analysis Based Selections

Author 1: Sylvia Encheva
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 5, No. 5 · Published 2016

DOI: 10.14569/IJARAI.2016.050507

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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.

Keywords

Boolean factor analysis Formal concept analysis Belnap’s logic

How to Cite this Article

Encheva, S. (2016). Factor Analysis Based Selections. International Journal of Advanced Research in Artificial Intelligence, 5(5). https://doi.org/10.14569/IJARAI.2016.050507

Encheva, Sylvia. "Factor Analysis Based Selections." International Journal of Advanced Research in Artificial Intelligence, vol. 5, no. 5, 2016, https://doi.org/10.14569/IJARAI.2016.050507.

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

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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