Risk Engineering - Gheorghe, A. V.

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Sommaire:
1. Risk Engineering in a Complex World.- 1.1. Risk Engineering: An Outlook.- 1.2. Integrated Risk Analysis, Risk Assessment, and Risk Management.- 2. Introduction And Background to Risk Engineering.- 2.1. General Outlines.- 2.2. Risk Analysis and Risk Management.- 2.3. Risk Analysis for Complex Industrial Systems; Socio Economic and Safety Implications.- 2.4. Lessons to be Learned from the Swiss Project on Risk Analysis.- 2.5. Cost-Benefit Analysis and Risk Engineering.- 2.6. Designing Databases for Risk Assessment of Major Industrial Complexes.- 2.7. Indicators in a Semiotic and Communicational Perspective.- 3. Decision Sciences and Stakeholders Processes.- 3.1. Decision Process in Risk Engineering and the Role of Models and Tools.- 3.2. Overview of Decision Analysis.- 3.3. Sensitivity Analysis.- 3.4. Probability Encoding Techniques.- 3.5. Advanced Techniques for DAP.- 3.6. Decision Conferencing and Stakeholders Interaction.- 3.7. Indicators and Their Integration for Decision Making Process.- 4. Established Methods in Risk Engineering.- 4.1. Selected Basic Methods.- 4.2. Assessment of Failure Probabilities.- 4.3. Consequence Assessments.- 5. Fuzzy Logic in Risk Engineering.- 5.1. Introduction and General Views.- 5.2. Applications.- 5.3. Risk Assessment with Fuzzy Logic.- 6. Fuzzy Risk Analysis on Plant and Regional Level.- 6.1. Basic Concepts.- 6.2. Regional and Plant Specific Hazard-/Risk Judgement.- 6.3. Environmental Risk Assessment with Fuzzy Risk Analysis.- 6.4. Case Study: Fuzzy Risk Analysis.- 7. Decision Support Systems in Risk Engineering.- 7.1. Introduction.- 7.2. The GIS Interface.- 7.3. Map Editor.- 7.4. Map Applications.- 7.5. The Dispersion Model.- 7.6. Path Outputs - Examples.- 7.7. Multicriteria Optimisation of Transportation ofDangerous Goods in a Free Market Environment.- 7.8. Conclusions.- 8. Risk Engineering and Beyond.- References.