An Ordered Binary Decision Diagram Model for Production Knowledge Representation and its Reasoning

Hou, Jie; Li, Fengying; Wang, Huijiao

doi:10.1109/wgec.2009.103

“…• In the knowledge base is stored most of the acquired expertise, made of both a basic domain-specific knowledge, and a metaknowledge which helps prevent the combinatory explosion that would result from the systematic exploration of the whole knowledge base. The knowledge representation mode most commonly used in transportation risk management expertise modeling are the production rules, which require that the knowledge be formulated as sequences of IF (hypotheses) THEN (conclusions) (Hou, Li, & Wang, 2009). • In the database, most likely using a DBMSstructure, is stored the information relating to the specific problem to be solved.…”

Section: Process Modelingmentioning

confidence: 99%

Building an Expert-System for Maritime Container Security Risk Management

Boukachour

¹

,

Fredouet

²

,

Gningue

³

2011

International Journal of Applied Logistics

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Until lately, transportation risk management has mostly dealt with natural or man-made accidental disasters. The September 11th tragedy has made transportation operators, as well as shippers and public authorities, aware of a new type of risk, man-made and intentional. Securing global transportation networks has become an important concern for governments, practitioners and academics. In the current time-based competition context, securing transportation operations should not be sought at the expense of time effectiveness in physical and informational flow processing. In this paper, the authors describe a project for the design of an expert-system dedicated to maritime container security risk management, present a literature review on decision-support systems dedicated to transportation risk management, and discuss the various steps of expertise modeling in a transportation risk management context.

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Risk analysis of Thalassemia using knowledge representation model: Diagnostic Bayesian Networks

Paokanta

¹

,

Harnpornchai

²

2012

Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics

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Building an Expert-System for Maritime Container Security Risk Management

Boukachour

¹

,

Fredouet

²

,

Gningue

³

2013

Technological Solutions for Modern Logistics and Supply Chain Management

View full text Add to dashboard Cite

Until lately, transportation risk management has mostly dealt with natural or man-made accidental disasters. The September 11th tragedy has made transportation operators, as well as shippers and public authorities, aware of a new type of risk, man-made and intentional. Securing global transportation networks has become an important concern for governments, practitioners and academics. In the current time-based competition context, securing transportation operations should not be sought at the expense of time effectiveness in physical and informational flow processing. In this paper, the authors describe a project for the design of an expert-system dedicated to maritime container security risk management, present a literature review on decision-support systems dedicated to transportation risk management, and discuss the various steps of expertise modeling in a transportation risk management context.

show abstract

An Ordered Binary Decision Diagram Model for Production Knowledge Representation and its Reasoning

Cited by 3 publications

References 3 publications

Building an Expert-System for Maritime Container Security Risk Management

Building an Expert-System for Maritime Container Security Risk Management

Risk analysis of Thalassemia using knowledge representation model: Diagnostic Bayesian Networks

Building an Expert-System for Maritime Container Security Risk Management

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