|
Twitter
|
Facebook
|
Google+
|
VKontakte
|
LinkedIn
|
Viadeo
|
English
|
Français
|
Español
|
العربية
|
 
International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
Wednesday 16 October 2019

About IJIAS

News

Submission

Downloads

Archives

Custom Search

Contact

Connect with IJIAS

  Call for Papers - November 2019     |     Now IJIAS is indexed in EBSCO, ResearchGate, ProQuest, Chemical Abstracts Service, Index Copernicus, IET Inspec Direct, Ulrichs Web, Google Scholar, CAS Abstracts, J-Gate, UDL Library, CiteSeerX, WorldCat, Scirus, Research Bible and getCited, etc.  
 
 
 

Performance analysis of researchers using compensatory fuzzy logic


Volume 19, Issue 3, February 2017, Pages 482–486

 Performance analysis of researchers using compensatory fuzzy logic

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

Received 14 August 2016

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.