Granule Sets Based Bilevel Decision Model
暂无分享,去创建一个
Qing He | Zhongzhi Shi | Zheng Zheng | Zhongzhi Shi | Qing He | Zheng Zheng
[1] A. Talman,et al. The Theory of Markets , 1999 .
[2] J. Bard,et al. An algorithm for the discrete bilevel programming problem , 1992 .
[3] Jonathan F. Bard,et al. Practical Bilevel Optimization: Algorithms and Applications (Nonconvex Optimization and Its Applications) , 2006 .
[4] S. Tsumoto,et al. Rough Set Theory and Granular Computing , 2003 .
[5] Qing He,et al. Rule sets based bilevel decision model , 2006, ACSC.
[6] Wayne F. Bialas,et al. On two-level optimization , 1982 .
[7] Douglas H. Fisher,et al. A Case Study of Incremental Concept Induction , 1986, AAAI.
[8] Yi Zhang,et al. RIDAS - a rough set based intelligent data analysis system , 2002, Proceedings. International Conference on Machine Learning and Cybernetics.
[9] Janusz Zalewski,et al. Rough sets: Theoretical aspects of reasoning about data , 1996 .
[10] Zhongzhi Shi,et al. Tolerance granular space and its applications , 2005, 2005 IEEE International Conference on Granular Computing.
[11] Stephan Dempe,et al. Foundations of Bilevel Programming , 2002 .
[12] Andrzej Skowron,et al. Approximation Spaces in Rough Neurocomputing , 2003 .
[13] Xiaohua Hu,et al. Rule Discovery from Databases with Decision Matrices , 1996, ISMIS.
[14] Witold Pedrycz,et al. Granular Computing - The Emerging Paradigm , 2007 .
[15] Marcin S. Szczuka,et al. A New Version of Rough Set Exploration System , 2002, Rough Sets and Current Trends in Computing.
[16] Heinrich von Stackelberg,et al. Stackelberg (Heinrich von) - The Theory of the Market Economy, translated from the German and with an introduction by Alan T. PEACOCK. , 1953 .
[17] Wayne F. Bialas,et al. Two-Level Linear Programming , 1984 .
[18] G. Anandalingam,et al. A penalty function approach for solving bi-level linear programs , 1993, J. Glob. Optim..
[19] Guangquan Zhang,et al. On the definition of linear bilevel programming solution , 2005, Appl. Math. Comput..
[20] Andrzej Skowron,et al. A Rough Set Framework for Data Mining of Propositional Default Rules , 1996, ISMIS.
[21] Guoyin Wang,et al. RRIA: A Rough Set and Rule Tree Based Incremental Knowledge Acquisition Algorithm , 2003, Fundam. Informaticae.
[22] Zhongzhi Shi,et al. Tolerance Relation Based Granular Space , 2005, RSFDGrC.
[23] Nick Cercone,et al. Using Rough Sets as Tools for Knowledge Discovery , 1995, KDD.
[24] Roman Slowinski,et al. Rough Classification of Patients After Highly Selective Vagotomy for Duodenal Ulcer , 1986, Int. J. Man Mach. Stud..
[25] Jie Lu,et al. An extended Kuhn-Tucker approach for linear bilevel programming , 2005, Appl. Math. Comput..
[26] Lech Polkowski,et al. Rough Sets in Knowledge Discovery 2 , 1998 .
[27] C. Chen,et al. Stackelburg solution for two-person games with biased information patterns , 1972 .
[28] Andrew Kusiak,et al. Rough set theory: a data mining tool for semiconductor manufacturing , 2001 .
[29] XIAOHUA Hu,et al. LEARNING IN RELATIONAL DATABASES: A ROUGH SET APPROACH , 1995, Comput. Intell..
[30] Udo W. Pooch,et al. Translation of Decision Tables , 1974, ACM Comput. Surv..
[31] Jie Lu,et al. An extended Kth-best approach for linear bilevel programming , 2005, Appl. Math. Comput..
[32] Yiyu Yao,et al. Granular computing for data mining , 2006, SPIE Defense + Commercial Sensing.
[33] Jonathan F. Bard,et al. Practical Bilevel Optimization , 1998 .
[34] Art Lew,et al. Decision table programming and reliability , 1976, ICSE '76.
[35] Jonathan F. Bard,et al. An explicit solution to the multi-level programming problem , 1982, Comput. Oper. Res..
[36] Jonathan F. Bard,et al. Practical Bilevel Optimization: Algorithms and Applications , 1998 .
[37] C Shi,et al. AN EXTENDED KUHNTUCKER APPROACH FOR LINEAR BI-LEVEL PROGRAMMING , 2005 .
[38] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .