• Title/Summary/Keyword: Insurance Product Recommend and Design

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Implementation of Rule Based Insurance Product Recommend and Design System using Fuzzy Inference (퍼지 추론을 통한 규칙 기반의 보험상품 추천 및 설계 시스템 구현)

  • Park, Ji-Soo;Lee, Young-Hoon;Kim, Kyung-Sup;Jeong, Suk-Jae
    • The Journal of Society for e-Business Studies
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    • v.12 no.1
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    • pp.99-122
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    • 2007
  • The rule based system is inference engine which can correspond quickly to new business model change and improvement requirement by dealing with the business know-how and expert knowledge as well as business process of enterprise and has been trying to apply to the various industries. As a part of application cases for rule-based system, we develop and implement the rule-based insurance product recommend and design system for the efficient decision making of insurance product in insurance industry which is sensitively affected by needs of customers, various kinds of product, and environment changes. The process of fuzzy inference of the developed system helps to recommend and design the proper Insurance product using the information of the present customer and the previous members. This approach is expected that it will be the core technology for the recommendation and design of the tailored insurance product by deciding and corresponding needs of various kinds of customer quickly in future insurance industry.

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