A generic methodology for developing fuzzy decision models

R. Bosma, J. Berg, van den, U. Kaymak, H. Udo, J. Verreth

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

15 Citaten (Scopus)
6 Downloads (Pure)

Samenvatting

An important paradigm in decision-making models is utility-maximization where most models do not include actors’ motives. Fuzzy set theory on the other hand offers a method to simulate human decisionmaking. However, the literature describing expert-driven fuzzy logic models, rarely gives precise details on the methodology (to be) used. To fill the gap, this paper describes a methodology of 10 steps to model individual actor’s drivers, motives, hereby taking into account the ecological, social and economic context. Testing the methodology on the composition of mixed farming systems in the Mekong Delta, Vietnam, showed that manual model development is not a waterfall approach but requires feedback loops, except for model implementation. Using feed-back loops, the proposed 10 step method allowed to include human drivers and motives other than utility-maximization and to maintain a degree of transparency hard to achieve when using automated procedures.
Originele taal-2Engels
Pagina's (van-tot)1200-1210
Aantal pagina's11
TijdschriftExpert Systems with Applications
Volume39
Nummer van het tijdschrift1
DOI's
StatusGepubliceerd - 2012

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