Volume 19, Issue 3, February 2017, Pages 482–486
Maikel Leyva Vàzquez1, Eduardo Santos-Baquerizo2, Mario Sánchez Delgado3, Brenda Cárdenas Bolaños4, and David Cárdenas Giler5
1 Facultad de Ciencias Matemáticas y Físicas, Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
2 Facultad de Ciencias Matemáticas y Físicas Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
3 Facultad de Ciencias Matemáticas y Físicas Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
4 Facultad de Ciencias Administrativas Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
5 Facultad de Ciencias Administrativas Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
Original language: English
Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In this paper, a proposal for extending the fuzzy logic framework to researcher’s performance evaluation using the good properties of robustness and interpretability of compensatory fuzzy logic is presented. Results obtained with our model are more consistent with the way human make decisions. Additionally a case study to illustrate the applicability of the proposal is developed. Our main outcome is a new researcher’s evaluation based on compensatory fuzzy logic that gives results that are more robust and allows compensation. Moreover, this approach makes emphasis in using language in line with the computing with words paradigm.
Author Keywords: fuzzy logic compensatory fuzzy logic, Performance evaluation, computing with words.
Maikel Leyva Vàzquez1, Eduardo Santos-Baquerizo2, Mario Sánchez Delgado3, Brenda Cárdenas Bolaños4, and David Cárdenas Giler5
1 Facultad de Ciencias Matemáticas y Físicas, Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
2 Facultad de Ciencias Matemáticas y Físicas Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
3 Facultad de Ciencias Matemáticas y Físicas Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
4 Facultad de Ciencias Administrativas Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
5 Facultad de Ciencias Administrativas Universidad de Guayaquil, Guayaquil, Guayas, Ecuador
Original language: English
Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
In this paper, a proposal for extending the fuzzy logic framework to researcher’s performance evaluation using the good properties of robustness and interpretability of compensatory fuzzy logic is presented. Results obtained with our model are more consistent with the way human make decisions. Additionally a case study to illustrate the applicability of the proposal is developed. Our main outcome is a new researcher’s evaluation based on compensatory fuzzy logic that gives results that are more robust and allows compensation. Moreover, this approach makes emphasis in using language in line with the computing with words paradigm.
Author Keywords: fuzzy logic compensatory fuzzy logic, Performance evaluation, computing with words.
How to Cite this Article
Maikel Leyva Vàzquez, Eduardo Santos-Baquerizo, Mario Sánchez Delgado, Brenda Cárdenas Bolaños, and David Cárdenas Giler, “Performance analysis of researchers using compensatory fuzzy logic,” International Journal of Innovation and Applied Studies, vol. 19, no. 3, pp. 482–486, February 2017.
