This volume attempts to link the science of risk analysis with the currently ongoing movement on the use of stakeholders' processes. It is intended to assess the current practice of risk engineering, and to address the potential interactions with stakeholders' processes. New type models for risk screening and prioritisation at plant and regional levels are presented using fuzzy sets. The advent of integrated risk assessment Decision Support Systems in connection with stakeholders' processes, and their interactions, are put into a practice perspective for today's developments in risk engineering.
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.