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A Fuzzy Expert System for Computing Workers' Compensation Insurance Premiums in Construction: A Conceptual Framework
This paper presents the framework for computing the optimal premium for workers' compensation insurance, and a fuzzy system conceptual model that automates the proposed framework. The fuzzy system model is able to compute premiums by linguistic assessment of project hazard levels, the contractor's crisis preparedness level, the insurer's profile and market conditions. The framework, together with the fuzzy approach, offsets the shortcomings of existing experience modification ratings for construction workers' compensation insurance premium computation.
A Fuzzy Expert System for Computing Workers' Compensation Insurance Premiums in Construction: A Conceptual Framework
This paper presents the framework for computing the optimal premium for workers' compensation insurance, and a fuzzy system conceptual model that automates the proposed framework. The fuzzy system model is able to compute premiums by linguistic assessment of project hazard levels, the contractor's crisis preparedness level, the insurer's profile and market conditions. The framework, together with the fuzzy approach, offsets the shortcomings of existing experience modification ratings for construction workers' compensation insurance premium computation.
A Fuzzy Expert System for Computing Workers' Compensation Insurance Premiums in Construction: A Conceptual Framework
Imriyas, K. (Autor:in) / Pheng, Low Sui (Autor:in) / Lin, Teo Ai (Autor:in) / Lean, Chan Swee (Autor:in)
Architectural Science Review ; 49 ; 270-284
01.09.2006
15 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
British Library Online Contents | 2006
|A framework for computing workers' compensation insurance premiums in construction
Online Contents | 2007
|A framework for computing workers' compensation insurance premiums in construction
Online Contents | 2007
|A framework for computing workers' compensation insurance premiums in construction
British Library Online Contents | 2007
|