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http://dx.doi.org/10.9716/KITS.2012.11.3.001

Disaster Recovery Priority Decision of Total Information System for Port Logistics : Fuzzy TOPSIS Approach  

Kim, Ki-Yoon (광운대학교 경영학과)
Kim, Do-Hyeong (광운대학교 경영학과)
Publication Information
Journal of Information Technology Services / v.11, no.3, 2012 , pp. 1-16 More about this Journal
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 total information system for port logistics in a fuzzy environment where the vagueness and subjectivity are handled with linguistic terms parameterized by trapezoidal fuzzy numbers. This study applies the fuzzy multi-criteria decision-making method to determine the importance weight of evaluation criteria and to synthesize the ratings of candidate disaster recovery system. Aggregated the evaluators' attitude toward preference, then TOPSIS is employed to obtain a crisp overall performance value for each alternative to make a final decision. This approach is demonstrated with a real case study involving 4 evaluation criteria(system dependence, RTO, loss, alternative business support), 7 information systems for port logistics assessed by 5 evaluators from Maritime Affairs and Port Office.
Keywords
MCDM(Multi-Criteria Decision-Making); TOPSIS; Fuzzy Sets Theory;
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