Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/17612
Title: A fuzzy knowledge-based system for premium-rating of workers' compensation insurance for construction projects
Authors: KAMARDEEN IMRIYAS
Keywords: Construction accidents; Safety; Workers’ compensation insurance; Premium-rating; Fuzzy logic; Knowledge-based system; Singapore.
Issue Date: 16-Oct-2007
Source: KAMARDEEN IMRIYAS (2007-10-16). A fuzzy knowledge-based system for premium-rating of workers' compensation insurance for construction projects. ScholarBank@NUS Repository.
Abstract: Occupational injuries and fatalities are rampant in construction. The significance of the workersa?? compensation insurance (WCI) is immeasurable in safeguarding the interests of construction workers and contractors. In insurersa?? perspective, the commitment under this insurance is extremely broad; there are no exclusions and a maximum limit on their liability. Thus, insurers must accomplish rigorous risk and market assessments to decide optimal premiums for construction projects. Conventional experience rating approach of premium-rating has been proven ineffective for construction applications. Based on the findings of a literature review and an interview questionnaire survey, a new WCI premium-rating model was developed for building projects. A hybrid of interviews and past workersa?? compensation claims data analysis was adopted to develop the conceptual model of a fuzzy knowledge-based system (KBS) to automate the proposed model. It was then prototyped, and verified with Turing tests. The proposed model and its fuzzy KBS advocate real-time structured assessments of project hazards, safety, market condition and insurersa?? internal factors for premium-rating. They also establish an effective risk control strategy via a well-structured incentive system for contractors and clients. Their implementation in the general insurance industry can facilitate accident control in the construction industry and thereby minimising insurersa?? financial risks.
URI: http://scholarbank.nus.edu.sg/handle/10635/17612
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