The Co‐Extra Decision Support System: A Model‐Based Integration of Project Results

Abstract

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Decision Support for the Comparative Evaluation and Selection of Analytical Methods: Detection of Genetically Modified Organisms as an Example

“…The original AM_DetQuant (Bohanec et al 2013a) model, which was adapted for the purpose of this research, was developed using an MCDA method DEX (Decision EXpert) (Bohanec et al 2013b;Bohanec 2015). DEX is a qualitative MCDA method, specifically designed to support expert modeling, that is, acquisition of decision knowledge from experts and decision makers in the form of decision rules.…”

“…When evaluating analytical methods with unknown input values, DEX treats the symbol B*^as a set of all possible values of the corresponding attribute and repeats the evaluation for all of them. Consequently, any DEX evaluation may yield a set of values rather than a single value (Bohanec 2015). The decision tables in the AnalyticalMeth model are complete and consistent.…”

“…These data can obviously be used to direct the analyses, i.e., choosing the appropriate sampling strategy and the required detection process (routine or more targeted analysis). All these data can be integrated in MCDA by the analyst for detection, results interpretation, or decisionmaking (Bohanec et al 2013a).…”

“…Methodologically, we built upon the results of the European FP6 project Co-Extra . There, as part of the Co-Extra decision support system (Bohanec et al 2013a), a number of MCDA models were developed, including two models for the assessment of analytical methods. For the purpose of this study, we have, within European FP7 Decathlon project (www.decathlon-project.eu), adapted one of the models, called AM_DetQuant (Bohanec et al 2013a).…”

“…There, as part of the Co-Extra decision support system (Bohanec et al 2013a), a number of MCDA models were developed, including two models for the assessment of analytical methods. For the purpose of this study, we have, within European FP7 Decathlon project (www.decathlon-project.eu), adapted one of the models, called AM_DetQuant (Bohanec et al 2013a). We have narrowed the original model to only assess whether a method is fit for purpose (FitForPurpose) in the situation being evaluated and to determine, which method is best for purpose (BestForPurpose).…”