Application and comparison of CC-integrals in business group decision making
Fecha
2022Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Contribución a congreso / Biltzarrerako ekarpena
Versión
Versión aceptada / Onetsi den bertsioa
Identificador del proyecto
//PC093-094TFIPDL //TIN2016-81731-REDT //TIN2016-77356-P
Impacto
|
10.1007/978-3-031-08965-7_7
Resumen
Optimized decisions is required by businesses (analysts) if
they want to stay open. Even thought some of these are from the knowhow of the managers/executives, most of them can be described mathematically and solved (semi)-optimally by computers. The Group Modular Choquet Random Technique for Order of Preference by Similarity
to Ideal Solution (GMC-RTOPSIS) is a Multi-Criteria Decision Making
...
[++]
Optimized decisions is required by businesses (analysts) if
they want to stay open. Even thought some of these are from the knowhow of the managers/executives, most of them can be described mathematically and solved (semi)-optimally by computers. The Group Modular Choquet Random Technique for Order of Preference by Similarity
to Ideal Solution (GMC-RTOPSIS) is a Multi-Criteria Decision Making
(MCDM) that was developed as a method to optimize the later types of
problems, by being able to work with multiple heterogeneous data types
and interaction among different criteria. On the other hand the Choquet
integral is widely used in various fields, such as brain-computer interfaces
and classification problems. With the introduction of the CC-integrals,
this study presents the GMC-RTOPSIS method with CC-integrals. We
applied 30 different CC-integrals in the method and analyzed its results
using 3 different methods. We found that by modifying the decisionmaking method we allow for more flexibility and certainty in the choosing
process. [--]
Materias
CC-integral,
Decision making,
Generalized choquet integral,
GMC-RTOPSIS
Editor
Springer
Publicado en
Filipe, J.; Smialek, M.; Brodsky, A.; Hammoudi, S. (eds.). Enterprise information systems: 23rd International Conference, ICEIS 2021. Cham: Springer International Publishing; 2022. p.129-148 978-3-031-08964-0
Departamento
Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas /
Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila
Versión del editor
Entidades Financiadoras
This study was supported by Navarra de Servicios y Tecnologías, S.A. (NASER-TIC), PNPD/CAPES (464880/2019-00) and CAPES Financial Code 001, CNPq (301618/2019-4), FAPERGS (19/2551-0001279-9, 19/ 2551-0001660) and, the Spanish Ministry of Science and Technology (PC093-094TFIPDL, TIN2016-81731-REDT, TIN2016-77356-P (AEI/FEDER, UE)).