Rough set theory for intelligent industrial applications
暂无分享,去创建一个
[1] Adam Mrózek,et al. Rough Sets in Computer Implementation of Rule-Based Control of Industrial Processes , 1992, Intelligent Decision Support.
[2] W. Ziarko,et al. Rough sets applied to materials data , 1996 .
[3] Janusz Zalewski,et al. Rough sets: Theoretical aspects of reasoning about data , 1996 .
[4] Roman Slowinski,et al. The Rough Sets Approach to Knowledge Analysis for Classification Support in Technical Diagnostics of Mechanical Objects , 1992, IEA/AIE.
[5] Shusaku Tsumoto,et al. Modelling Medical Diagnostic Rules Based on Rough Sets , 1998, Rough Sets and Current Trends in Computing.
[6] R. Słowiński. Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory , 1992 .
[7] J. Kacprzyk,et al. Incomplete Information: Rough Set Analysis , 1997 .
[8] C. J. V. Rijsbergen,et al. Rough Sets, Fuzzy Sets and Knowledge Discovery , 1994, Workshops in Computing.
[9] Wojciech Ziarko,et al. Control Algorithm Acquisition, Analysis and Reduction: A Machine Learning Approach , 1989 .
[10] Zdzislaw Pawlak,et al. Reasoning about Data - A Rough Set Perspective , 1998, Rough Sets and Current Trends in Computing.
[11] Tsau Young Lin,et al. Fuzzy Controllers: An Integrated Approach Based on Fuzzy Logic, Rough Sets, and Evolutionary Computing , 1997 .
[12] Roman Słowiński,et al. Intelligent Decision Support , 1992, Theory and Decision Library.
[13] Lech Polkowski,et al. Rough Sets in Knowledge Discovery 2 , 1998 .
[14] Sadaaki Miyamoto,et al. Rough Sets and Current Trends in Computing , 2012, Lecture Notes in Computer Science.
[15] Zdzisław Pawlak,et al. ROUGH CONTROL APPLICATION OF ROUGH SET THEORY TO CONTROL , 1996 .
[16] Wojciech Ziarko. Acquisition of Control Algorithms from Operation Data , 1992, Intelligent Decision Support.
[17] 津本 周作,et al. The Fourth International Workshop on rough sets, fuzzy sets, and machine discovery : proceedings , 1996 .
[18] Nick Cercone,et al. Applying Knowledge Discovery to Predict Water-Supply Consumption , 1997, IEEE Expert.
[19] P. Lingras. Rough Neural Networks , 1996 .
[20] Lluís A. Belanche Muñoz,et al. A Knowledge-based System for the Diagnosis of Waste-Water Treatment Plants , 1992, IEA/AIE.
[21] Roman Słowiński,et al. Evaluation of vibroacoustic diagnostic symptoms by means of the rough sets theory , 1992 .
[22] James F. Peters,et al. Approximate Time Rough Control: Concepts and Application to Satellite Attitude Control , 1998, Rough Sets and Current Trends in Computing.
[23] Zdzislaw Pawlak,et al. Rough Set Theory and its Applications to Data Analysis , 1998, Cybern. Syst..
[24] Zdzisław Pawlak,et al. The idea of a rough fuzzy controller and its application to the stabilization of a pendulum-car system , 1995 .
[25] Toshinori Munakata,et al. Rough Control: A Perspective , 1997 .
[26] Wojciech Ziarko,et al. Rough sets approach to system modelling and control algorithm acquisition , 1993, IEEE WESCANEX 93 Communications, Computers and Power in the Modern Environment - Conference Proceedings.
[27] Yiyu Yao,et al. Rough Sets and Current Trends in Computing , 2001, Lecture Notes in Computer Science.
[28] R. Słowiński,et al. Rough sets analysis of diagnostic capacity of vibroacoustic symptoms , 1992 .
[29] T. Y. Lin,et al. Rough Sets and Data Mining , 1997, Springer US.