Chun-Pin Tseng

Risk and uncertainty analysis in the planning stages of a risk decision-making process

Natural disaster risk, a long-time concern in the insurance industry, is increasingly recognized as a present danger in the business strategies of risk control and enterprise management agencies. Floods and earthquakes can cause massive loss of life and infrastructure, resulting in business interruption and heavy casualties. Many of the short-term developmental strategies employed throughout the world have only served to exacerbate the impact of natural disasters. Therefore, this study presents a review of formal methods that are commonly used in risk and uncertainty analysis in planning and concludes with a critical assessment of the advantages and disadvantages of the different priority setting methods. Our focus is a preliminary proposal for developing an efficient probabilistic approach to facilitate design optimization that involves probabilistic constraints.

A novel strategy to determine the insurance and risk control plan for natural disaster risk management

This study presents an extended framework for the analysis of economic effects of natural disaster risk management. It also attempts to define and evaluate the optimal insurance arrangements. A model, the economic utility constrained-maximization model, is proposed. The purpose of this study is to establish a strategy for determining an insurance and risk control plan in which consideration is given to balancing the economic effects (e.g., decrease in costs due to damage) by disaster mitigation. Furthermore, these values are compared with risk control actions for purposes of prioritization, to provide data to help evaluate the benefit of each risk control action. Disaster insurance policy premiums in contrast are based on actuarial data taken from situations in which risk control measures are not employed. This can make such contracts unfair to responsible enterprise managers who must take risk control measures. This represents an unfair aspect of insurance policies. Enterprise managers should be able to determine the optimum arrangement between natural disaster risk control and insurance given their budget limitations. The optimal strategies aim at the best applicability and balance between risk control and insurance capability for the enterprise manager. Risk control measures can generate several risk control options for enterprise managers. Premium discounts by insurers are given in this model.

Hazard management and risk design by optimal statistical analysis

Elicitation methods are used in decision making with respect to risk hazards to allow a researcher to infer the subjective utilities of outcomes from the observed preferences of an individual. A questionnaire method is presented, in this study, which takes into account the inevitable distortion of preferences by random errors and minimizes the effect of such errors. Under mild assumptions, the method for eliciting the utilities of many outcomes is a three-stage procedure. First, the questionnaire is utilized to elicit responses from which a subjective score is defined. Second, individual risk factors are discussed. Finally, the regression model presents individual risk preferences given the overall organizational risk culture, risk management policy, risk identification, and risk analysis. This paper addresses how company managers face risk and their tolerance of risk with respect to risk management.

A new viewpoint of hazard assessment and management for Taiwan’s insurance issues

High rates of urbanization, environmental degradation, and industrial development in disaster-prone areas have all served to increase the extent of damage following catastrophes. Recently, losses from environmental hazards have escalated, which has resulted in a noticeable change in policy, with more emphasis on loss reduction through mitigation, preparedness, and recovery programs. This study focuses on natural disaster management in which the direct risks are posed by the natural disasters themselves. This paper presents a review of issues surrounding natural disaster risk control and insurance in Taiwan. It proposes the use of background information concerning risk control strategies as well as earthquake, typhoon, and flood insurance in Taiwan. Finally, an insurance case study is utilized to demonstrate the feasibility of the proposed methodology.

Stability Analysis for Floating Structures Using T-S Fuzzy Control

This study constructs a mathematical model of an ocean environment in which wave-induced flow fields cause structural surge motion. The solutions corresponding to the mathematical model are derived analytically. In this study, a fuzzy control technique is developed to mitigate structural vibration. The Takagi-Sugeno (T-S) fuzzy model is employed to approximate the oceanic structure and a parallel distributed compensation (PDC) scheme is utilized in the controller design procedure to reduce structural response.

Intelligent financial decision model of natural disasters risk control

This paper describes how risk-based risk control allocation model works. We begin by discussing the economic rational for allocating risk control in a diversified organization like enterprises. The direct and indirect losses caused by the simulated disasters can be estimated using the engineering and financial analysis model. Basing on the model, we can generate exceeding probability (EP) curve and then calculate how much loss will be ceased or transferred to other entities, if somehow spending budgets on risk control actions. Results from the proposed formulations are compared in case studies. The model attempts to apply risk based budget guidelines to risk reduction measurement with a portfolio-based risk framework.