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An Application of FCM(Fuzzy C-Means) for Clustering of Asian Ports Competitiveness Level and Status of Busan Port  

류형근 (한국해양대학교 물류시스템공학과)
이홍걸 (한국해양대학교 물류시스템공학과)
여기태 (우석대학교 유통통상학부)
Publication Information
Journal of Korean Society of Transportation / v.21, no.5, 2003 , pp. 7-18 More about this Journal
Abstract
Due to the changes of shipping and logistic environment, Asian ports today face severe competition. To be a mega-hub port, Asian ports have achieved a big scale development. For these reasons, it has been widely recognized as an important study to analyze and evaluate characteristics of Asian ports, from the standpoint of Korea where Busan Port is located. Although some previous studies have been reported, most of them have been beyond the scope of Asian ports and analyzed the world's major ports; moreover, the studied ports have been about the ports which are well known from the previous research and reports. So, most studies is unlikely to be used as substantial indicators from the perspective of Busan Port. In addition. most of the existing studies have used hierarchical evaluation algorithm for port ranking, such as AHP (analytical hierarchy process) and clustering analysis. However, these two methods have fundamental weaknesses from the algorithm perspective. The aim of this study is to classify major Asian ports based on competitiveness level. Especially. in order to overcome serious problem of the existing studies, major Asian ports were analyzed by using objective indicators. and Fuzzy C-Means algorithm, which alleviates the weakness of the clustering method. It was found that 10 ports of 16 major Asian ports have their own phases and were classified into 4 port groups. This result implies that some ports have higher potential as ports to lead some zones in Asia. Based on those results. present status and future direction of Busan port were discussed as well.
Keywords
FCM(Fuzzy C-Means);
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  • Reference
1 금종수 . 윤명오 . 양원재 (2000) , 'FCM법 에 의한 항만의 분류 및 그 특성 분석에 관한 연구', 한국항만학회지, 제14권 제2호, 한국항만학회, PP.143-154
2 김학소 (1993), '우리나라 수출입화주의 항만선택 결정요인에 관한 연구' 해운산업연구원
3 이석태 . 이철영(1993), '극동아시아 컨테이너항만의 능력평가에 관한 연구', 한국항만학회지, 제7권 제1호 , 한국항만학회, pp,13-24
4 이철영(1998), '항만물류시스템', 효성출판사
5 정태원 . 곽규석 (2001), '동종항만군 분류를 통한 컨테이너항만의 운영효율화 방안에 관한 연구', 대한교통학회지, 제19권 제l호, 대한교통학회, PP.7-16
6 Allen W. B.(1982), 'Port Choice Model'. Logistic & Transportation Review
7 French R. A.(1979), 'Competition among Selected Eastern Canadian Ports for Foreign Cargo', Maritime Policy and Management. Vol.6, No.1. pp.5-14   DOI
8 Murphy P. R., Daley J. M., Dalenberg D. R.(1992), 'Port Selection Criteria : An Application of Transportation Research Framework', Logistics & ransportation Review, Vol.28 No.3, pp.237-254
9 Tongzon and Jose L. (1995). 'Systematizing International Benchmarking for Ports', Maritime Policy and Management, Vol. 22, No.2, pp.171-177   DOI   ScienceOn
10 Willingale M. C. (1981), 'The Port Routing Behavior of Short Sea Ship Operator Theory and Practices', Maritime Policy and Management Vol.8, No.2, pp.109-120   DOI   ScienceOn
11 UNCTAD(1990), 'Development and Improvement of Ports : The establishment of transshipment facilities in developing countries', pp.9-11
12 여기태 . 이철영(1996), '퍼지적분을 도입한 계층구조의 평가알고리즘', 해양안전학회지, 제2권 제1호, 해양안전학회
13 Pal N. R. and Bezdek J. C(1995), 'On Cluster Validity for the Fuzzy c-Means Moder, IEEE Transaction on Fuzzy Systems, Vol. 3, No.3, pp.370-379   DOI   ScienceOn
14 양창호(1997), '항만시설과 처리물동량을 비교한 유사 항만군 식별에 관한 연구', 교통정책연구, 제4권 제2호, pp.61-73
15 노홍승 . 여기태 . 이철영 . 최재수(1996), '항만물류서비스의 평가에 관하여', 한국항만학회지 , 제10권 제2호, 한국항만학회, pp,17-30
16 문성혁 . 이준구(1999 ), '주성분분석 및 군집분석을 이용한 컨테이너 항만의 분류', 한국항만학회지, 제13권 제1호, 한국항만학회, pp.61-73
17 Containerization International Yearbook(2002), Emp Business Communication Ltd
18 Bezdek J. C.(198I), 'Pattern Recognition with Fuzzy Objective Function Algorithms', Plenum Press, New York
19 전일수 . 김학소 . 김범중(1993), '우리나라 컨테이너 항만의 국제경쟁력 제고방안에 관한 연구',해운산업연구원 정책자료 090
20 여기태 (2002), '중국 컨테이너 항만의 경쟁력 평가에 관한 연구', 한국해운학회지, 제34호, 한국해운학회 , pp.39-60