TY - CHAP
T1 - A DSS for Designing an MCDA Study with Application in Performance Evaluation of Forecasting Models
AU - Ouenniche, Jamal
AU - Xu, Bing
AU - Pérez-Gladish, Blanca
PY - 2018
Y1 - 2018
N2 - The purpose of this Chapter is to propose a decision support system (DSS) for designing a multicriteria decision analysis (MCDA) study. The proposed DSS is a revised MCDA methodological framework, which consists of a sequential decision making process with feedback adjustment mechanisms and validation sub-processes. We also provide guidelines on how to operationalize it. For illustration purposes, we adapt the proposed DSS to address the problem of performance evaluation of competing forecasting models under multiple criteria, where the variable to forecast is the price of crude oil.
AB - The purpose of this Chapter is to propose a decision support system (DSS) for designing a multicriteria decision analysis (MCDA) study. The proposed DSS is a revised MCDA methodological framework, which consists of a sequential decision making process with feedback adjustment mechanisms and validation sub-processes. We also provide guidelines on how to operationalize it. For illustration purposes, we adapt the proposed DSS to address the problem of performance evaluation of competing forecasting models under multiple criteria, where the variable to forecast is the price of crude oil.
KW - decision support system
KW - Multicriteria decision analysis
KW - performance evaluation of forecasting models
U2 - 10.1007/978-3-319-68876-3_2
DO - 10.1007/978-3-319-68876-3_2
M3 - Chapter (peer-reviewed)
SN - 978-3-319-68875-6
T3 - Multiple Criteria Decision Making
SP - 19
EP - 48
BT - Financial Decision Aid Using Multiple Criteria
A2 - Masri, Hatem
A2 - Pérez-Gladish, Blanca
A2 - Zopounidis, Constantin
PB - Springer
ER -