Although Bayesian networks have gained popularity in many fields, they have just recently emerged in food-related problems. This technique can be used as a tool for prediction, explanation, exploration or decision making under uncertainty. The chapter mainly gives a theoretical background of Bayesian networks through a food example. It also discusses the advantages and challenges, as well as potential applications of Bayesian networks in the food area.
|Title of host publication||Consumer-driven innovation in food and personal care products|
|Editors||S.R. Jaeger, H. MacFie|
|Place of Publication||Cambridge|
|Number of pages||662|
|Publication status||Published - 2010|
|Name||Woodhead Food Series|
|Publisher||Woodhead Publishing Limited|