TY - JOUR
T1 - A comparative study of heterogeneous decision analysis approaches applied to sustainable energy evaluation
AU - Espinilla, MacArena
AU - Palomares, Iván
AU - MartÍnez, Luis
AU - Ruan, Da
PY - 2012/6
Y1 - 2012/6
N2 - The evaluation of sustainable energy policies supports the selection of the best policy to put it in practice. In this evaluation, stakeholders may express their preferences in different domains, considering their diverse background and the imprecision and uncertainty of the related information, as well as the nature of assessed criteria. Therefore, these evaluation problems require the selection of an adequate approach to manage such a heterogeneous framework. In this paper, we review three approaches with different strategies to deal with heterogeneous information and apply them to the evaluation of sustainable energy policies, with the view of analyzing their influence in a complex evaluation process, mainly in terms of interpretability and understandability.
AB - The evaluation of sustainable energy policies supports the selection of the best policy to put it in practice. In this evaluation, stakeholders may express their preferences in different domains, considering their diverse background and the imprecision and uncertainty of the related information, as well as the nature of assessed criteria. Therefore, these evaluation problems require the selection of an adequate approach to manage such a heterogeneous framework. In this paper, we review three approaches with different strategies to deal with heterogeneous information and apply them to the evaluation of sustainable energy policies, with the view of analyzing their influence in a complex evaluation process, mainly in terms of interpretability and understandability.
UR - http://www.scopus.com/inward/record.url?scp=84863769731&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863769731&partnerID=8YFLogxK
U2 - 10.1142/S0218488512400120
DO - 10.1142/S0218488512400120
M3 - Article
AN - SCOPUS:84863769731
SN - 0218-4885
VL - 20
SP - 159
EP - 174
JO - International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
JF - International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
IS - SUPPL. 1
ER -