Decision making for contractor insurance deductible using the evolutionary support vector machines inference model

Expert Systems with Applications

Volumn 38, Issue 6, 2011, Pages 6547-6555

  Cheng, Min Yuan ^a   Peng, Hsien Sheng ^a   Wu, Yu Wei ^a   Liao, Yi Hung ^a  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Construction insurance; Deductible decision; Loss frequency; Loss severity

Indexed keywords

BUILDING CONSTRUCTION PROJECTS; CONSTRUCTION INSURANCE; CONSTRUCTION PROJECTS; DEDUCTIBLE DECISION; EFFICIENT FRONTIER; INFERENCE MODELS; INSURANCE COST; LOSS FREQUENCY; LOSS PREDICTION; MODEL INPUTS;

CONSTRUCTION INDUSTRY; DECISION MAKING; GEARS; MATHEMATICAL MODELS; SUPPORT VECTOR MACHINES;

INSURANCE;

EID: 79951576232     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.11.084     Document Type: Article

References (9)

1. C.C. Chang, and C.J. Lin Training nu-support vector classifiers: Theory and algorithms Neural Computation 13 9 2001 2119 2147
2. R. Day, J. Zydallis, and G. Lamont Proceedings of the 2nd international conference on computational nanoscience and nanotechnology 2002 Computational Publications Cambridge 36 39
3. H. Drucker, C.J.C. Burges, L. Kaufman, A. Smola, and V. Vapnik Support vector regression machines Proceedings of the 10th annual conference on neural information processing systems 1997 MIT Press Cambridge 155 161
4. C.W. Feng, and H.T. Wu Integrating fmGA and CYCLONE to optimize the schedule of dispatching RMC trucks Automation in Construction 15 2 2006 186 199
5. D.E. Goldberg, K. Deb, H. Kargupta, and G. Harik Rapid, accurate optimization of difficult problems using fast messy genetic algorithms Proceedings of the5th international conference on genetic algorithms 1993 Morgan Kaufmann Pub. Inc. San Mateo 56 64
6. C.W. Hsu, and C.J. Lin A simple decomposition method for support vector machine Machine Learning 46 1-3 2002 219 314
7. C.L. Huang, and C.J. Wang A GA-based feature selection and parameters optimization for support vector machines Expert Systems with Applications 31 2 2006 231 240
8. D. Knjazew, and G.A. Ome A competent genetic algorithm for solving permutation and scheduling problems 2003 Kluwer Academic Publishers Boston
9. Lin, C. F. (2004). Fuzzy support vector machines. Ph.D. Thesis. Department of Electrical Engineering, National Taiwan University.