퍼지 TOPSIS를 이용한 보험회사 업무정보시스템의 재난복구 우선순위결정
Disaster Recovery Priority Decision for Business Information Systems of Insurance Company Using Fuzzy TOPSIS
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초록
본 논문의 연구목적은 정보시스템에 퍼지 의사결정방법을 적용하여 재난복구 우선순위결정문제를 해결하는 것이다. 퍼지 환경 아래에서 보험회사 업무정보시스템의 재난복구 우선순위결정을 위한 TOPSIS 접근방법을 도출하기 위해서, 모호성과 주관성에 대한 언어적 측정값은 사다리꼴 퍼지 수로 나타낼 수 있다. 본 연구에서는 평가기준에 대한 가중치를 도출해서 업무정보시스템의 재난복구 우선순위를 평가하기 위해서, 퍼지 TOPSIS 방법을 적용하였다. 이러한 접근방법으로 4가지의 평가기준(시스템 의존도, RTO, 손실, 업무대체자원)과 4명의 평가자가 평가하는 15개 업무정보 시스템에 대한 보험회사 사례를 제시하였다. 결론적으로 본 연구에서 제안한 접근방법은 보험회사의 재난복구 우선순위결정에 매우 적합한 것으로 나타났다. 본 논문에서 제시한 퍼지 환경에서 재난복구 우선순위결정에 대한 체계적인 접근방법은 업무연속성계획(BCP)을 위한 업무영향분석(BIA) 뿐만 아니라, 다른 위기 의사결정문제분석에도 쉽게 적용가능하다.
Abstract
This paper is aimed to present a fuzzy decision-making approach to deal with disaster recovery priority decision problem in information system. We derive an evaluation approach based on TOPSIS(Technique for Order Performance by Similarity to Ideal Solution), to help disaster recovery priority decision of business information system for insurance company in a fuzzy environment where the vagueness and subjectivity are handled with linguistic terms parameterized by trapezoidal fuzzy numbers. This study applies the fuzzy TOPSIS method to determine the importance weight of evaluation criteria and to synthesize the ratings of disaster recovery priority for business information system. This approach is demonstrated with a real case study involving 4 evaluation criteria(system dependence, RTO, loss, alternative business support), 15 business information systems assessed by 4 evaluators from a insurance company. This paper shows that the proposed method is well suited as a decision-making tool for disaster recovery priority decisions in insurance company. The systematic framework for disaster recovery priority decision in a fuzzy environment presented in this paper can be easily extended to BIA(Business Impact Analysis) for BCP(Business Continuity Planning) as well as the analysis of other crisis decision problems.
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