REFERENCES
- Ahn, H., J. J. Ahn, K. J. Oh, and D. H. Kim. 2011. Facilitating cross-selling in a mobile telecom market to develop customer classification model based on hybrid data mining techniques. Expert Systems with Applications 38(5):5005–5012.
- Ahn, H., and K. Kim. 2008. Using genetic algorithms to optimize nearest neighbors for data mining. Annals of Operations Research 163(1):5–18.
- Ahn, H., and K. Kim. 2009a. Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach. Applied Soft Computing 9(2): 599–607.
- Ahn, H., and K. Kim. 2009b. Global optimization of case-based reasoning for breast cytology diagnosis. Expert Systems with Applications 36(1):724–734.
- Ahn, H., K. Kim, and I. Han. 2006a. Global optimization of feature weights and the number of neighbors that combine in a case based reasoning system. Expert Systems 23(5):290–301.
- Ahn, H., K. Kim, and I. Han. 2006b. Hybrid genetic algorithms and case based reasoning systems for customer classification. Expert Systems 23(3):127–144.
- Ahn, H., K. Kim, and I. Han. 2007. A case-based reasoning system with the two-dimensional reduction technique for customer classification. Expert Systems with Applications 32(4):1011–1019.
- Althuizen, N. A. P., and B. Wierenga. 2008. The value of analogical reasoning for the design of creative sales promotion campaigns: A case-based reasoning approach. Working paper.
- Bae, J. K., and J. Kim. 2010. Integration of heterogeneous models to predict consumer behavior. Expert Systems with Applications 37(3):1821–1826.
- Bu, Q., and F. Zhang. 2013. The risk assessment of marketing management system on the basis of multi-level fuzzy comprehensive evaluation. In Proceedings of the Sixth International Conference on Management Science and Engineering Management, Lecture Notes in Electrical Engineering 185:845–84. Berlin: Springer.
- Bürkle, T., E. Ammenwerth, H. Prokosch, and J. Dudeck. 2001. Evaluation of clinical information systems. What can be evaluated and what cannot? Journal of Evaluation in Clinical Practice 7(4):373–385.
- Büyüközkan, G., and B. Ergün. 2011. Intelligent system applications in electronic tourism. Expert Systems with Applications 38(6):6586–6598.
- Castro, J. L., M. Navarro, J. M. Sánchez, and J. M. Zurita. 2011. Introducing attribute risk for retrieval in case-based reasoning. Knowledge-Based Systems 24(2):257–268.
- Chang, D.-Y. 1992. Extent analysis and synthetic decision. Optimization Techniques and Applications 1:352–355.
- Chang, P.-C., C.-H. Liu, and R.K. Lai. 2008. A fuzzy case-based reasoning model for sales forecasting in print circuit board industries. Expert Systems with Applications 3(3):2049–2058.
- Chang, P.-C., and C.-Y. Lai. 2005. A hybrid system combining self-organizing maps with case-based reasoning in wholesaler’s new-release book forecasting. Expert Systems with Applications 29(1):183–192.
- Chang, P. C., C. Y. Lai, and K. R. Lai. 2006. A hybrid system by evolving case-based reasoning with genetic algorithm in wholesaler’s returning book forecasting. Decision Support Systems 42(3):1715–1729.
- Changchien, S., and M. C. Lin. 2005. Design and implementation of a case-based reasoning system for marketing plans. Expert Systems with Applications 28(1):43–53.
- Chen, Y. K., C.Y. Wang, and Y. Y. Feng. 2010. Application of a 3NN+ 1 based CBR system to segmentation of the notebook computers market. Expert Systems with Applications 37(1):276–281.
- Chiu, C. 2002. A case-based customer classification approach for direct marketing. Expert Systems with Applications 22(2):163–168.
- Deng, Z., X. Zhang, D. Cao, and H. Cao. 2010. Process expert system in NC camshaft grinding on the basis of rough set and case-based reasoning. Journal of Mechanical Engineering 46(21):178–186.
- Dong, X.-F., Y.-J. Gu, K. Yang, and X. He. 2009. Application of case-based reasoning for power plant equipment RCM analysis based on fuzzy rough set. Proceedings of the Chinese Society of Electrical Engineering 29(32):30–36.
- Dong, Y. 2006. A case based reasoning system for evaluating customer credit. Journal of Japan Industrial Management Association 57(2):144–152.
- Fu, Y., and R. Shen. 2004. GA based CBR approach in Q and A system. Expert Systems with Applications 26(2):167–170.
- Gunawardena, S., R. O. Weber, and J. Stoyanovich. 2013. Learning feature weights from positive cases. In Case-based reasoning research and development, 134–148. Berlin: Springer.
- Hajipour, V., A. Kazemi, and S. M. Mousavi. 2013. A fuzzy expert system to increase accuracy and precision in measurement system analysis. Measurement 46:2770–2780.
- Han, M., Y. Li, and Z. Cao. 2014. Hybrid intelligent control of BOF oxygen volume and coolant addition. Neurocomputing 123:415–423.
- Han, M., X.- Z. Wang, Y. Li, and N.Tong. 2013. Bayesian rough set and mixture experts model based CBR system. Control and Decision 28(1):157–160.
- Heras, S., J. Á. García-Pardo, R. Ramos-Garijo, A. Palomares, V. Botti, M. Rebollo, and V. Julián. 2009. Multi-domain case-based module for customer support. Expert Systems with Applications 36(3):6866–6873.
- Hsu, C. I., C. Chiu, and P. L. Hsu. 2004. Predicting information systems outsourcing success using a hierarchical design of case-based reasoning. Expert Systems with Applications 26(3):435–441.
- Hsu, K. H., C. Chiu, N. H. Chiu, P. C. Lee, W. K. Chiu, T. H. Liu, and C. J. Hwang. 2011. A case-based classifier for hypertension detection. Knowledge-Based Systems 24(1):33–39.
- Im, K. H., and S. C. Park. 2007. Case-based reasoning and neural network based expert system for personalization. Expert Systems with Applications 32(1):77–85.
- Ji, A. M., K. Zhu, and Q. S. Huang. 2012. Methods determining the weights of characteristics in mechanical products design on case-base reasoning. Applied Mechanics and Materials 138:315–320.
- Jiang, Y., J. Chen, and X. Ruan. 2006. Fuzzy similarity-based rough set method for case-based reasoning and its application in tool selection. International Journal of Machine Tools and Manufacture 46(2):107–113.
- Johnson, D.S., B. H. Clark, and G. Barczak. 2012. Customer relationship management processes: How faithful are business-to-business firms to customer profitability? Industrial Marketing Management 41(7):1094–1105.
- Juan, Y.-K., S.-F. Chien, and Y.-J. Li. 2010. Customer focused system for pre-sale housing customisation using case-based reasoning and Feng Shui theory. Indoor and Built Environment 19(4):453–464.
- Kadkhodaie, I. A., M. R. Rezaee, H. Rahimpour-Bonab, and A. Chehrazi. 2009. Petrophysical data prediction from seismic attributes using committee fuzzy inference system. Computers and Geosciences 35(12):2314–2330.
- Kahraman, C., U. Cebeci, and D. Ruan. 2004. Multi-attribute comparison ofcatering service companies using fuzzy AHP: The case of Turkey. International Journal of Production Economics 87(2):171–184.
- Kim, K. J. 2004. Toward global optimization of case-based reasoning systems for financial forecasting. Applied Intelligence 21(3):239–249.
- Kim, K.-J., and H. Ahn. 2008. A recommender system using GA K-means clustering in an online shopping market. Expert systems with applications 34(2):1200–1209.
- Kwong, C. K., and H. Bai. 2003. Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach. IEE Transactions 35(7):619–626.
- Lam, C. H. Y, K. L. Choy, G.T. Ho, and S.H. Chung. 2012. A hybrid case-GA-based decision support model for warehouse operation in fulfilling cross-border orders. Expert Systems with Applications 39(8):7015–7028.
- Lee, H.-Y., H. Ahn, and I. Han. 2007. VCR: Virtual community recommender using the technology acceptance model and the user’s needs type. Expert Systems with Applications 33(4):984–995.
- Lee, J. H., and S. H. Ha. 2009. Recognizing yield patterns through hybrid applications of machine learning techniques. Information Sciences 179(6):844–850.
- Lee, N., J.K. Bae, and C. Koo. 2012. A case-based reasoning based multi-agent cognitive map inference mechanism: An application to sales opportunity assessment. Information Systems Frontiers 14(3):653–668.
- Li, H., and J. Sun. 2008. Ranking-order case-based reasoning for financial distress prediction. Knowledge-Based Systems 21(8):868–878.
- Li, H., and J. Sun. 2009. Hybridizing principles of the Electre method with case-based reasoning for data mining: Electre-CBR-I and Electre-CBR-II. European Journal of Operational Research 197(1):214–224.
- Liao, S., Y. Chen, and H. Hsieh. 2011. Mining customer knowledge for direct selling and marketing. Expert Systems with Applications 38(5):6059–6069.
- Liao, S. H., Y. Chen, Y., and H. Yang. 2013. Mining customer knowledge for channel and product segmentation. Applied Artificial Intelligence 27(7):635–655.
- Liao, S. H., and Y. J. Chen. 2004. Mining customer knowledge for electronic catalog marketing. Expert Systems with Applications 27(4):521–532.
- Lin, J. S. 2012. Constructing a yield model for integrated circuits based on a novel fuzzy variable of clustered defect pattern. Expert Systems with Applications 39(3):2856–2864.
- Lin, R. H., Y. T. Wang, C. H. Wu, and C. L. Chuang. 2009. Developing a business failure prediction model via RST, GRA and CBR. Expert Systems with Applications 36(2):1593–1600.
- Liu, C., and H. Chen. 2012. A novel CBR system for numeric prediction. Information Sciences 185(1):178–190.
- Liu, C.-H., and Y.-W. Wang, Y.-W. 2012. Establish a cluster based evolutionary adaptive Weighted Fuzzy CBR for PCB sales forecasting. In Proceedings of the 7th international conference on computing and convergence technology (ICCIT, ICEI and ICACT), 1417–1422.
- Luu, D. T., N. S. Thomas, and S. E. Chen. 2003. A case-based procurement advisory system for construction. Advances in Engineering Software 34(7):429–438.
- Martínez-López, F. J., and J. Casillas. 2013. Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights. Industrial Marketing Management 42(4):489–495.
- McSherry, D. 2005. Explanation in recommender systems. Artificial Intelligence Review 24(2):179–197.
- Naik, P. A., K. Raman, and R. S. Winer. 2005. Planning marketing-mix strategies in the presence of interaction effects. Marketing Science 24(1):25–34.
- Ng, S. T., and C. D. T. Luu. 2008. Modeling subcontractor registration decisions through case-based reasoning approach. Automation in Construction 17(7):873–881.
- Ngai, E. W. T., L. Xiu, and D. Chau. 2009. Application of data mining techniques in customer relationship management: A literature review and classification. Expert Systems with Applications 36(2):2592–2602.
- Noori, B. 2012. Marketing DSS architecture for sports sponsorship management. Journal of Database Marketing and Customer Strategy Management 19(4):29–299.
- O’Keefe, R. M., O. Balci, and E. P. Smith. 1987. Validation of expert system performance. IEEE Expert 2:81–90.
- Pawlak, Z. 1982. Rough set. International Journal of Information and Computer Sciences 11:341–356.
- Sanchez, E., C. Toro, A. Artetxe, M. Graña, C. Sanin, E. Szczerbicki, … and F. Guijarro. 2013. Bridging challenges of clinical decision support systems with a semantic approach. A case study on breast cancer. Pattern Recognition Letters 34:1758–1768.
- Shin, K., and I. Han. 1999. Case-based reasoning supported by genetic algorithms for corporate bond rating. Expert Systems with Applications 16(2):85–95.
- Smiti, A., and Z. Elouedi. 2014. WCOID-DG: An approach for case base maintenance based on weighting, clustering, outliers, internal detection and dbsan-gmeans. Journal of Computer and System Sciences 80(1):27–38.
- Sun, Z., and G. Finnie. 2005. A unified logical model for CBR based e-commerce systems. International Journal of Intelligent Systems 20(1):29–46.
- Tang, Y-C., and M. J. Beynon. 2005. Application and development of a fuzzy analytic hierarchy process within a capital investment study. Journal of Economics and Management 1(2):207–230.
- Tao, J., and S. Huizhang. 2006. Feature selection and weighting method based on similarity rough set for CBR. In IEEE International Conference on Service Operations, Logistics and Informatics, 948–952. IEEE.
- Vukovic, S., B. Delibasic, A. Uzelac, and M. Suknovic. 2012. A case-based reasoning model that uses preference theory functions for credit scoring. Expert Systems with Applications 39(9):8389–8395.
- Wang, G.-D., J. Wang, and W. Wang. 2012. Application of rough set on composite process planning case retrieve. Journal of Wuhan University of Technology 34(6):27–31.
- Wang, H. Q., B. B. Sun, and X. F. Shen. 2013. Case-based reasoning rapid design approach for CNC turret. Advanced Materials Research 819:304–310.
- Wettschereck, D., D. W. Aha, and T. Mohri. 1997. A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms. Artificial Intelligence Review 11(1):273–314.
- Wierenga, B. 2010. Marketing and artificial intelligence: Great opportunities, reluctant partners. Marketing Intelligent Systems using Soft Computing 258:1–8.
- Xu, S., X. Liu, X. Hao, and M. Zhenghua. 2009. Research of case-based reasoning method based on rough sets. IEEE International Conference on Intelligent Computing and Intelligent Systems 1:416–419.
- Yuan, F. C., and C. Chiu. 2009. A hierarchical design of case-based reasoning in the balanced scorecard application. Expert Systems with Applications 36(1):333–342.
- Zadeh, L. A. 1965. Fuzzy sets. Information and Control 8(3):338–353.
- Zadeh, L. A. 1999. From computing with numbers to computing with words. From manipulation of measurements to manipulation of perceptions. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 46(1):105–119.