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Multi-criteria decision making with linguistic labels: a comparison of two methodologies

Author
Afsordegan, A.; Sanchez, M.; Agell, N.; Cremades, L.V.; Zahedi, S.
Type of activity
Presentation of work at congresses
Name of edition
XVII Congreso Español sobre Tecnologías y Lógica Fuzzy
Date of publication
2014
Presentation's date
2014-02-07
Book of congress proceedings
XVII Congreso español sobre tecnologías y lógica fuzzy: libro de actas, Zaragoza 5 y 7 de Febrero de 2014
First page
21
Last page
26
Project funding
APRENDIZAJE AUTOMATICO DE CAPACIDADES SENSORIALES MEDIANTE MAQUINAS DE SOPORTE VECTORIAL
Repository
http://hdl.handle.net/2117/27235 Open in new window
URL
http://estylf2014.unizar.es/actas.pdf Open in new window
Abstract
This paper compares two multi-criteria decision making (MCDM) approaches based on linguistic label assessment. The first approach consists of a modified fuzzy TOPSIS methodology introduced by Kaya and Kahraman in 2011. The second approach, introduced by Agell et al. in 2012, is based on qualitative reasoning techniques for ranking multi-attribute alternatives in group decision-making with linguistic labels. Both approaches are applied to a case of assessment and selection of the most suitable ty...
Citation
Afsordegan, A. [et al.]. Multi-criteria decision making with linguistic labels: a comparison of two methodologies applied to energy planning. A: XVII Congreso Español sobre Tecnologías y Lógica Fuzzy. "ESTYLF 2014. XVII Congreso Español sobre Tecnologías y Lógica Fuzzy". Zaragoza: 2014, p. 21-26.
Keywords
Energy planning., Fuzzy reasoning, Group decision making, Multi-criteria decision-making, Qualitative reasoning
Group of research
GIIP - Project Design, Sustainability and Communication Research Group
GREC - Knowledge Engineering Research Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants

Attachments