DocumentCode :
3165051
Title :
Interval-based analysis of BOCR (benefits, opportunities, costs and risks) models evaluated by multiple experts
Author :
Krishna Mohan, K. ; Reformat, Marek Z. ; Pedrycz, Witold
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
fYear :
2013
fDate :
24-28 June 2013
Firstpage :
244
Lastpage :
250
Abstract :
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.
Keywords :
analytic hierarchy process; decision making; farming; food products; microorganisms; BOCR-AHP model; BOCR-ANP model; BOCR-interval arithmetic modeling; SE outbreak; Salmonella enteritidis outbreak; addition operation; analytic hierarchy process model; analytic network process model; benefits-opportunities-costs-and-risks model; control network; division operation; egg quality preservation; farm management effectiveness; interval arithmetic operations; interval-based BOCR model analysis; multiple expert consensus; multiplication operation; quantitative decision making methodology; quantitative model; strategic hierarchy network; subtraction operation; Analytic hierarchy process; Analytical models; Biological system modeling; Computational modeling; Economics; Production; Safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location :
Edmonton, AB
Type :
conf
DOI :
10.1109/IFSA-NAFIPS.2013.6608407
Filename :
6608407
Link To Document :
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