Information Support Technology of Ship Survey Based on Case-based Reasoning
Recently, the significance of ship inspections hasbeen increasingly recognized because sea pollution andsafety problems are occurring more and more frequently. However, current ship inspections rely on the experience ofthe workers. Therefore, it is difficult to understand, and hence to improve, the state of ship inspections. The present problemsare that the ship inspection technical support level in China is not balanced, especially as to the current situation with low level, poor technologyin under-developed areas. In this paper, the case technology about the case-based reasoning to the ship inspection is proposed. The methods of normative inspection case representation are discussed.This is considered to be the basis of case-based reasoning. Then the tertiary case structure with the index is defined, in which the K-nearest neighbor method to calculate the similarity between caseswas used so that the ship’s inspection information can be searched effectively. In addition, animproved retrievalstrategy of the nearest neighbor method is introduced. Therefore, in the inspection site,the inspectors can acquire support information by the case bases, and then the new cases are calculated automatically. Further, a ship inspection case managementwereintroduced to improve the stability of the system. By carrying the case-based reasoning into an inspection, an inspector can generate fault information and inspection information simply and easily. Some examples of the organization and retrieval are shown at the end of the paper.
Kunihiro Hamada, Yukio Fujimoto, EijiShintaku. Ship inspection support system using a product model. Marine Science and Technology.2002; 6(4): 205-215.
Knapp, Sabine,Bijwaard, Govert,Heij, Christiaan. Estimated incident cost savings in shipping due to inspections.Accident Analysis and Prevention. 2011;43(4): 1532-1539.
Govert E. Bijwaard, Sabine Knapp. Analysis of ship life cycles—the impact of economic cycles and ship inspections. Marine Policy. 2009;33(2): 350–369.
Yuan-Hsin Tung, Shian-Shyong Tseng, Jui-FengWeng.A rule-based CBR approach for expert finding and problem diagnosis. Expert Systems with Applications.2010;37(3): 2427–2438.
Fan, Chin-Yuan, Chang, Pei-Chann. A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification. Applied Soft Computing. 2011; 11(1): 632–644.
Liu, Yuhong,Yang, Chunsheng. Case learning for CBR-based collision avoidance systems.Applied Intelligence. 2012;36(2): 308–319.
Pal, S. K., &Shiu, S. Foundations of soft case-based reasoning. John Wiley & Sons, 2004: 233-238.
Pan, R., Yang, Q. & Pan, J. Mining competent case bases for case-based reasoning. Artificial Intelligence. 2007; 171(16): 1039-1068.
Lopez De Mantaras R, McSherry D, Bridge D, et al. Retrieval, reuse, revision and retention in case-based reasoning. The Knowledge Engineering Review. 2005; 20(03): 215-240.
Rezvan M T, ZeinalHamadani A, Shalbafzadeh A. Case-based reasoning for classification in the mixed data sets employing the compound distance methods. Engineering Applications of Artificial Intelligence. 2013; 26(9): 2001-2009.
Lee S, Seo K K. Intelligent Fault Diagnosis Based on a Hybrid Multi-Class Support Vector Machines and Case-Based Reasoning Approach. Journal of Computational and Theoretical Nanoscience. 2013; 10(8): 1727-1734.
Zhu Wenge, Li Shiqi, ZhengPei.The research about the complex equipment fault diagnosis system based on case-based reasoning.Artillery Launch and Control. 2008; 3(4): 83-87.
Campillo-Gimenez, Boris, Bayat, Sahar; Cuggia, Marc. Coupling K-nearest neighbors with logistic regression in case-based reasoning. Studies in Health Technology and Informatics, 2012;3(18): 275-279.
Vukovic S, Delibasic B, Uzelac A, et al. A case-based reasoning model that uses preference theory functions for credit scoring. Expert Systems with Applications. 2012; 39(9): 8389-8395.
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
TELKOMNIKA Telecommunication, Computing, Electronics and Control
ISSN: 1693-6930, e-ISSN: 2302-9293
Universitas Ahmad Dahlan, 4th Campus
Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191
Phone: +62 (274) 563515, 511830, 379418, 371120
Fax: +62 274 564604