数学与计算机科学 |
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考虑多角度效用的应急案例调整方法 |
张恺1, 王应明2 |
1. 福建船政交通职业学院 信息工程系, 福建 福州 350007; 2. 福州大学 决策科学研究所, 福建 福州 350116 |
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Emergency alternative adaptation method with considering multi-angle utility |
ZHANG Kai1, WANG Yingming2 |
1. Department of Information Engineering, Fujian Chuanzheng Communications College, Fuzhou 350007, China; 2. Decision Sciences Institute, Fuzhou University, Fuzhou 350116, China |
[1] FAN Z, LI Y, WANG X, et al. Hybrid similarity measure for case retrieval in CBR and its application to emergency response towards gas explosion[J]. Expert Systems with Applications,2014,41(5):2526-2534. [2] LIAO Z, MAO X, HANNAM P M, et al. Adaptation methodology of CBR for environmental emergency preparedness system based on an improved genetic algorithm[J]. Expert Systems With Applications,2012,39(8):7029-7040. [3] FAN Z, LI Y, ZHANG Y, et al. Generating project risk response strategies based on CBR: A case study[J]. Expert Systems with Applications,2015,42(6):2870-2883. [4] ZHANG B, LI X, WANG S, et al. A novel case adaptation method based on an improved integrated genetic algorithm for power grid wind disaster emergencies[J]. Expert Systems with Applications,2015,42(21):7812-7824. [5] SHEPPERD M, SCHOFIELD C. Estimating software project effort using analogies[J]. IEEE Transactions on Software Engineering,1997, 23(11):736-743. [6] ANGELIS L, STAMELOS I. A simulation tool for efficient analogy based cost estimation[J]. Empirical Software Engineering,2000,5(1):35-68. [7] KWONG C K, SMITH G F, LAU W S, et al. Application of case based reasoning injection molding[J]. Journal of Materials Processing Technology,1997,63(1):463-467. [8] JI S, PARK M, LEE H, et al. Case adaptation method of case-based reasoning for construction cost estimation in Korea[J]. Journal of Construction Engineering and Management,2012,138(1):43-52. [9] QI J, HU J, PENG Y, et al. Incorporating adaptability-related knowledge into support vector machine for case-based design adaptation[J]. Engineering Applications of Artificial Intelligence,2015,37:170-180. [10] HU J, QI J, PENG Y, et al. New CBR adaptation method combining with problem-solution relational analysis for mechanical design[J]. Computers in Industry,2015,66:41-51. [11] BUTDEE S. Adaptive aluminum extrusion die design using case-based reasoning and artificial neural networks[J].Advanced Materials Research,2012,383:6747-6754. [12] QI J, HU J, PENG Y, et al. A new adaptation method based on adaptability under k-nearest neighbors for case adaptation in case-Based design[J]. Expert Systems with Applications,2012,39(7):6485-6502. [13] XIE X, LIN L, ZHONG S, et al. Handling missing values and unmatched features in a CBR system for hydro-generator design[J]. Computer-Aided Design,2013,45(6):963-976. [14] LI H, SUN J. Gaussian case-based reasoning for business failure prediction with empirical data in China[J]. Information Sciences,2009,179(1):89-108. [15] 邓聚龙.灰色控制系统[J].华中工学院学报,1982,10(3):9-18. DENG J L. Grey control system[J]. The Journal of Huazhong University of Science and Technology,1982,10(3):9-18. [16] 李永海,樊治平,李铭洋.解决广义不确定型决策问题的案例决策方法[J].系统工程学报,2014,29(1):21-29. LI Y H, FAN Z P, LI M Y. Case-based decision analysis method for general uncertain decision making problem[J]. Journal of Systems Engineering,2014,29(1):21-29. [17] WANG Y M, YANG J B, XU D L, et al. The evidential reasoning approach for multiple attribute decision analysis using interval belief degree[J]. European Journal of Operational Research,2006,175(1):35-66. [18] LI S, HO H. Predicting financial activity with evolutionary fuzzy case-Based reasoning[J]. Expert Systems with Applications,2009,36(1):411-422. [19] YU W, LIU Y. Hybridization of CBR and numeric soft computing techniques for mining of scarce construction databases[J]. Automation in Construction,2006,15(1):33-46. |
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