Discrete Choquet integral based method for criteria synergy determination
Rubén Bernal$^{1}$, Marcelo Karanik$^{1}$, José Ignacio Peláez Sánchez$^{2}$, Estela del Rocio Yanez Benavides$^{3}$
$^{1}$National Technological University. Chaco Argentina,
$^{2}$University of Malaga. Málaga Spain,
$^{3}$University of Guayaquil. Guayaquil Ecuador
email: rbernal@frre.utn.edu.ar, marcelo@frre.utn.edu.ar, jignacio@lcc.uma.es, estela.yanezb@ug.edu.ec

Schedule:Tue 20th@10:45, Room: A

In multi-criteria decision-making processes, a set of criteria that can act independently or have some kind of relation between them are considered. When this latter appears, the process cannot be a simple problem due to complexity to model such synergy relations. To deal with these issues, a Choquet integral based method has been developed to determine the most appropriate ranking of alternatives. Therefore, a fuzzy measure that models considerations of an expert in the problem domain must be identified. The proposed model is a novel and efficient algorithm for determining a non-additive fuzzy measure guided by linguistic attributes. Finally, an illustrative example and a comparison with other aggregation operators is presented.

BibTex

@InProceedings{CLEI-2015:144663,
	author 		= {Rubén Bernal and Marcelo Karanik and José Ignacio Peláez Sánchez and Estela del Rocio Yanez Benavides},
	title 		= {Discrete Choquet integral based method for criteria synergy determination},
	booktitle 	= {2015 XLI Latin American Computing Conference (CLEI), Special Edition},
	pages 		= {18--24},
	year 		= {2015},
	editor 		= {Universidad Católica San Pablo},
	address 	= {Arequipa-Peru},
	month 		= {October},
	organization 	= {CLEI},
	publisher 	= {CLEI},
	url 		= {http://clei.org/clei2015/144663},
	isbn 		= {978-9972-825-91-0},
	}