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A model‐based process to improve robustness in Multicriteria Decision Aiding interventions
Author(s) -
Norese Maria Franca
Publication year - 2016
Publication title -
journal of multi‐criteria decision analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 47
eISSN - 1099-1360
pISSN - 1057-9214
DOI - 10.1002/mcda.1597
Subject(s) - robustness (evolution) , computer science , process (computing) , management science , artificial intelligence , machine learning , risk analysis (engineering) , engineering , business , chemistry , biochemistry , gene , operating system
A model‐based process is a methodological approach that facilitates interventions in new and ill or not structured problem situations. It is oriented towards improving the robustness of the intervention and its results in an incremental definition of both the problem formulation and the model, in order to reduce the uncertainty that is not only associated with the model parameters but also with the model structure, and sometimes also with the problem formulation. The nature and results of this approach, which consider the interaction between an analyst and the actors of the decision system as the decision aiding core, are proposed in relation to some actual interventions.