This paper presents a quantitative decision making methodology for evaluating best alternative using benefits, opportunities, costs, and risks (BOCR) models together with the interval computation. The quantification using BOCR-interval arithmetic modeling is performed in association with two types of models: analytic network process (ANP) and analytic hierarchy process (AHP) via consensus of multiple experts. The former is illustrated as BOCR-ANP in the form of a control network, whereas the latter BOCR-AHP as a strategic hierarchy network. We apply interval arithmetic operations — addition, subtraction, multiplication and division on the results obtained from BOCR-ANP/AHP models evaluated by different experts. This has been illustrated with an example of constructing a quantitative model for preserving the high quality of eggs and increasing the farm management effectiveness in the context of Salmonella Enteritidis (SE) outbreak.
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