Dacfood: a knowledge-based system for decision support in case of radiological contamination of foodstuffs
Creators
- 1. CEA Centre d'Etudes Nucleaires de Fontenay-aux-Roses, 92 (France). Inst. de Protection et de Surete Nucleaire
Description
In case of radiological contamination of foodstuffs, the introduction of a countermeasure has to be justified by balancing its advantages and drawbacks, as recommended by ICRP. Also, to provide authorities with information about the decision context, it has been decided to develop a Decision Support System (DSS). A knowledge-based approach is used for the DSS. Indeed, it allows: . better modelling thanks to, for instance, object oriented programming and rules, . ability to introduce more knowledge thanks to an easier consistency and validity control of the knowledge base, . handling of uncertainties (incomplete, uncertain or evolving knowledge). The present state of the system is presented. DACFOOD is a decision aiding system for contamined foodstuffs, based on a knowledge-based approach. A demonstration model has been developed in a post-Chernobyl CEC research program. It evaluates the sanitary situation, the alternative actions through costs and sanitary effects, and gives information on the decisional background
Additional details
Publishing Information
- Imprint Title
- Proceedings of the Seminar on Methods and Codes for Assessing the off-site Consequences of Nuclear Accidents. Volume 1
- Imprint Pagination
- 612 p.
- Journal Page Range
- p. 569-576.
- Report number
- EUR--13013/1
Conference
- Title
- Seminar on Methods and Codes for Assessing the off-site Consequences of Nuclear Accidents.
- Dates
- 7-11 May 1990.
- Place
- Athens (Greece).
INIS
- Country of Publication
- European Commission (EC), Brussels (Belgium)
- Country of Input or Organization
- European Commission (EC), Brussels (Belgium)
- INIS RN
- 23053371
- Subject category
- S61: RADIATION PROTECTION AND DOSIMETRY;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- CONTAMINATION; DECISION TREE ANALYSIS; EXPERT SYSTEMS; FOOD CHAINS