A Dominance-based Rough Set Approach to customer behavior in the airline market
Tài liệu tham khảo
Beynon, 2001, Variable precision rough set theory and data discretisation: an application to corporate failure prediction, Omega, 29, 561, 10.1016/S0305-0483(01)00045-7
Blaszczynski, 2007, Multi-criteria classification – a new scheme for application of dominance-based decision rules, European Journal of Operational Research, 181, 1030, 10.1016/j.ejor.2006.03.004
Chen, 2005, Mining changes in customer behavior in retail marketing, Expert Systems with Applications, 28, 773, 10.1016/j.eswa.2004.12.033
Dimitras, 1999, Business failure prediction using rough sets, European Journal of Operational Research, 114, 263, 10.1016/S0377-2217(98)00255-0
Dyche, 2001
Giudici, 2002, Data mining of association structures to model customer behavior, Computational Statistics and Data Analysis, 38, 533, 10.1016/S0167-9473(01)00077-9
Goh, 2003, Incorporating the rough sets theory into travel demand analysis, Tourism Management, 24, 511, 10.1016/S0261-5177(03)00009-8
Greco, 1998, A new rough set approach to evaluation of bankruptcy risk, 121
Greco, 2000, Extension of the rough set approach to multicriteria decision support, INFOR, 38, 161
Greco, 2001, Rough sets theory for multicriteria decision analysis, European Journal of Operational Research, 129, 1, 10.1016/S0377-2217(00)00167-3
Greco, 2001, An algorithm for induction of decision rules consistent with dominance principle, 304
Greco, 2002, Rough sets methodology for sorting problems in presence of multiple attributes and criteria, European Journal of Operational Research, 138, 247, 10.1016/S0377-2217(01)00244-2
Greco, 2002, Rough set analysis of preference-ordered data, 44
Hsieh, 2004, An integrated data mining and behavioral scoring model for analyzing bank customers, Expert Systems with Applications, 27, 623, 10.1016/j.eswa.2004.06.007
Jackson, 1996, Rough sets applied to material data, ACTA Material, 44, 4475, 10.1016/1359-6454(96)00110-3
Jenamani, 2003, A stochastic model of e-customer behavior, Electronic Commerce Research and Applications, 2, 81, 10.1016/S1567-4223(03)00010-3
Kotlowski, 2008, Stochastic dominance-based rough set model for ordinal classification, Information Sciences, 178, 4019, 10.1016/j.ins.2008.06.013
Kwan, 2005, An e-customer behavior model with online analytical mining for internet marketing planning, Decision Support Systems, 41, 189, 10.1016/j.dss.2004.11.012
Lu, 2002, Predicting customer behavior in the market-space: a study of Rayport and Sviokla’s framework, Information and Management, 40, 1, 10.1016/S0378-7206(01)00131-8
Miglautsch, 2000, Thoughts on RFM scoring, International Society for Strategic Marketing, Journal of Database Marketing, 8, 67, 10.1057/palgrave.jdm.3240019
Mitra, 2001, Evolutionary modular design of rough knowledge-based network using fuzzy attributes, Neurocomputing, 36, 45, 10.1016/S0925-2312(00)00335-0
Pawlak, 1982, Rough sets, International Journal of Computer and Information Science, 11, 341, 10.1007/BF01001956
Pawlak, 1997, Rough sets
Pawlak, 2007, Rudiments of rough sets, Information Sciences, 177, 3, 10.1016/j.ins.2006.06.003
Pawlak, 2007, Rough sets and Boolean reasoning, Information Sciences, 177, 41, 10.1016/j.ins.2006.06.007
Pawlak, 2007, Rough sets: some extensions, Information Sciences, 177, 28, 10.1016/j.ins.2006.06.006
Rayport, 1994, Managing in the market-space, Harvard Business Review, 72, 141
Shyng, 2007, Rough set theory in analyzing the attributes of combination values for the insurance market, Expert Systems with Applications, 32, 56, 10.1016/j.eswa.2005.11.002
Slowinski, 1995, Application of the rough set approach to evaluation of bankruptcy risk, International Journal of Intelligent Systems in Accounting, Finance and Management, 4, 27, 10.1002/j.1099-1174.1995.tb00078.x
Song, 2001, Mining the change of customer behavior in an internet shopping mall, Expert Systems with Applications, 21, 157, 10.1016/S0957-4174(01)00037-9
Suh, 1999, Customer list segmentation using the combined response model, Expert Systems with Applications, 17, 89, 10.1016/S0957-4174(99)00026-3
Tsai, 2004, A purchase-based market segmentation methodology, Expert Systems with Applications, 27, 265, 10.1016/j.eswa.2004.02.005
(Bill) Tsenga, 2007, Rough set-based approach to feature selection in customer relationship management, Omega, 35, 365, 10.1016/j.omega.2005.07.006
Wang, 2006, Managing customer profitability in a competitive market by continuous data mining, Industrial Marketing Management, 35, 715, 10.1016/j.indmarman.2005.06.005
Wang, 2003, Mining stock price using fuzzy rough set system, Expert Systems with Applications, 24, 13, 10.1016/S0957-4174(02)00079-9
Wong, 2007, Rough set approach for accident chains exploration, Accident Analysis and Prevention, 39, 629, 10.1016/j.aap.2006.10.009
Yao, 2008, Attribute reduction in decision-theoretic rough set models, Information Science, 178, 3356, 10.1016/j.ins.2008.05.010
Yao, 2009, Discernibility matrix simplification for constructing attribute reducts, Information Sciences, 179, 867, 10.1016/j.ins.2008.11.020
Zhai, 2002, Feature extraction using rough set theory and genetic algorithms an application for the simplification of product quality evaluation, Computers and Industrial Engineering, 43, 661, 10.1016/S0360-8352(02)00131-6
Zhu, 2001, Data mining for network intrusion detection: a comparison of alternative methods, Decision Science Journal, 32, 635, 10.1111/j.1540-5915.2001.tb00975.x
L.A. Zadeh, A new frontier in computation—computation with information described in natural language, keynote speaker’s lecture notes, IEEE Conference on Systems, Man, and Cybernetics, Taipei, Taiwan, 2006.