- Granular Computing: Fuzzy Logic and Rough Sets
- 1996 International Conference on Circuits and System Sciences, Shanghai, China, June 20-25, 1996. * This research is partially supported by Electric Power Research Institute, Palo Alto, California
- Fundamenta Informaticae XX (2004) 118 1 A New Rough Sets Model Based on Database Systems
- Patterns in Large Numerical Data Tsau Young ('T. Y.')Lin
- UNIVERSAL APPROXIMATOR Turing Computability
- Graded Rough Set Approximations based on Nested Neighborhood Systems
- Modeling the Real World for Data Mining: Granular Computing Approach
- A REVIEW OF ROUGH SET MODELS
- Attribute Transformations on Numerical Applications to Stock Market and Economic Data
- JOURNAL OF L A T E X CLASS FILES, VOL. 1, NO. 11, NOVEMBER 2002 1 What is Granular Computing
- SUPPORTING ROUGH SET THEORY IN VERY LARGE DATABASES USING ORACLE RDBMS
- NEIGHBORHOODS, ROUGH SETS, AND QUERY RELAXATION IN
- SEARCHING DECISION RULES IN VERY LARGE DATABASES USING ROUGH SET
- FIRSTORDER ROUGH LOGIC I: APPROXIMATE REASONING
- Attribute Transformations for Data Mining II: Applications to Economic and Stock Market Data
- Adaptive Aggregation of Modular Control H. Chris Tseng
- Chinese Wall Security Policy Models: Information Flows and Confining Trojan Horses
- Granular Computing on Binary Relations II Rough Set Representations and Belief Functions
- Granular Computing on Binary Relations I Data Mining and Neighborhood Systems
- Soft Computing in Intelligent Systems and Information processing, Proceedings of 1996 Asian Fuzzy Systems Symposium, Kenting,
- A Fast Association Rule Algorithm Based On Bitmap and Granular Computing
- Using Attribute Value Lattice to Find Closed Frequent Itemsets T.Y.Lin Xiaohua Tony Hu Eric Louie
- The Proceedings of the Seventh Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Universit de La Sorbonn, Paris, France July 6 -10, 1998
- Mining Associations by Linear Inequalities Tsay Young ('T. Y.') Lin
- FUZZY CONTROLLERS: AN INTEGRATED APPROACH
- CONTEXT FREE FUZZY SETS Is Fuzzy Set Theory a Set Theory?
- Data Modeling for Data Tsau Young (T.Y.) Lin
- Granular Computing: A Problem Solving Paradigm Tsau Young (T. Y.) Lin
- Granular Computing II: Infrastructures for AI-Engineering
- Mining Soft Rules Using Rough Sets and Neighborhoods \Lambda
- Value Added Association Rules T.Y. Lin 1 , Y.Y. Yao 2 , E. Louie 3
- Security Issues in Data Warehousing and Data Mining: Panel Discussion
- Mining Soft Rules Using Rough Sets and Neighborhoods
- A Rough Logic Formalism for Fuzzy Controllers
- Panel on Intrusion Detection T.Y. Lin 1;2
- 1996 IEEE International Conference on Fuzzy Systems, New Orleans, Louisiana, September 8-11, 1996, 1140-* On leave from San Jose State University
- Granular Computing on Binary Relations II Rough Set Representations and Belief Functions
- Generating Concept Hierarchies/Networks: Mining Additional Semantics in Relational Data
- NonClassificatory Generalization in Data Mining T.Y. Lin \Lambda1 tylin@mathcs.sjsu.edu
- Generalization of Rough Sets using Modal Logics Department of Computer Science, Lakehead University
- This research is partially supported by Electric Power Research Institute, Palo Alto, California, San Jose State University, Amdhal Corporation, NASA Grant NCC2-275, ONR Grant N00014-96-1-0556, LLNL Grant 442427-26449, ARO Grant
- CHINESE WALL SECURITY MODEL AND CONFLICT ANALYSIS Department of Mathematics and Computer Science
- On Chinese Wall Security Policy Models: A Complete Analysis of Conflicts via Granular Computing
- Divide and Conquer in Granular Computing Topological Partitions
- TOPOLOGICAL AND FUZZY ROUGH SETS Department of
- Analysis of Using Granules to Find Association IBM Almaden Research Center
- Logic Systems for Approximate Reasoning via Rough Sets and Topology
- TUNING ROUGH CONTROLLERS BY GENETIC ALGORITHMS Teresa Chiu
- Neural Networks, Qualitative-Fuzzy Logic and Granular Adaptive Systems Department of Mathematics and Computer Science
- Belief Functions Based on Probabilistic Multivalued Random Variables Tsau Young Lin ChurnJung Liau
- Granular neural web agents for stock prediction Y.-Q. Zhang, S. Akkaladevi, G. Vachtsevanos, T. Y. Lin
- Advances in Machine Intelligence and Soft Computing, Volume IV. Ed. Paul Wang, 1997, 132-155.
- Soft Computing in Intelligent Systems and Information Processing, Proceedings of 1996 Asian Fuzzy Systems Symposium, Kenting, Taiwan, December 11-14,
- Placing the Chinese Walls on the Boundary of Conflicts Analysis of Symmetric Binary Relations
- Geometry of High Dimension Frequency Semantic Clustering of Web Documents
- Algebra and Geometry of Rough Logic Controllers T. Y. Lin 1 tylin@cs.susu.edu
- Toward a Theory of Granular Computing Tsau Young (T. Y.) Lin, Member, IEEE,
- First Order Rough LogicRevisited T.Y. Lin 1;2 and Qing Liu 3
- Data Mining and Machine Oriented Modeling: A Granular Computing Approach
- Semantic Based Clustering of Web Documents Tsau Young (`T. Y.') Lin1
- Approximate Reasoning using RoughSet Theory Department of Computer Science, Lakehead University
- --------This research is partially supported by Electric Power Research Institute, Palo Alto, California, San Jose State University, Amdhal Corporation, NASA Grant NCC2-275, ONR Grant
- Rough Set Theory in Very Large Databases Department of Mathematics and Computer Science
- Using Rough Sets to Buildup WebBased One to One Customer Services IJen Chiang T.Y.Lin
- Interpreting Belief Functions as Probabilities: Dempster's rule of combination
- Proceedings of the Fourth International Symposium on Methodologies of Intelligent Systems, Poster Session, October 12-15, 1989, pp. 75-86.
- Mathematical Foundation of Association Rules Mining Associations by Solving Integral Linear Inequalities
- Mining Associations by Linear Inequalities: Bitmaps and Granular Computing
- Introduction to the Special Issue on Rough Sets and Soft Computing.
- An Incremental, Probabilistic Rough Set Approach to Rule Discovery
- From Rough Sets to Soft Computing Department of Mathematics and Computer Science, San Jose State University,
- European Congress on Intelligent Techniques and Soft Computing, September 8-12, 1997 * This research is partially supported by Electric Power Research Institute, Palo Alto, California
- Multilevel Decision Logic A Formalism for Multilevel Rules Mining
- Rough Sets Current Trends Conference, RSCTC'98, Warsaw, Poland, June 22 26, 1998 The Takagi-Sugeno Fuzzy Model Identification Method
- *Supported by the Visiting Scholar Foundation of Shanxi Province P. R. China1 A Fuzzy Neural Network Based on the TS Model with Dynamic Consequent Parameters and its
- An Application of Preprocessing Filtering on Decision Tree C4.5 and Rough Set Theory
- Mining Associations by Linear Inequalities Tsay Young ('T. Y.') Lin
- The Fourth Annual International Conference on Fuzzy Theory and Technology, Proceedings of Second Annual Joint Conference on Information Science, Wrightsville Beach, North Carolina, Sept. 28-Oct. 1,
- The First Annual International Conference Computational Intelligence \& Neuroscience., Wrightsville Beach, North Carolina, Sept. 28-Oct. 1, 1995, 157-160.
- Database Security IX Status and Prospects Edited by D. L. Spooner, S. A. Demurjian and J. E. Dobson ISBN 0 412 72920 2, 1996, pp. 391-399.
- * This research is partially supported by Electric Power Research Institute, Palo Alto, California * On leave from San Jose State University (tylin@cs.sjsu.edu)
- Granular Computing on Covering from the aspects of Knowledge Rushin B. Barot
- 1996 Engineering Systems Design and Analysis Conference, Montpellier, France, July 1-4, 1996, Vol. 7, pp. 49-53. * This research is supported by Electric Power Research Institute, Palo Alto, California
- Latent Semantic Space for Web Clustering I-Jen Chiang, Tsau Young (`T. Y.') Lin, and Xiaohua Hu,
- Granular Computing: Examples, Intuitions and Modeling
- A Function Theoretical View of Fuzzy Sets: New Extension Principle
- A Novel Clustering Method of High Dimensional Data Tsau Young (`T. Y.') Lin
- A Theory of Numerical Patterns: Numerical "Kolmogorov Complexity" Theory
- Granulate and Conquer: Clustering Web Pages Semantically using Combinatorial Topology
- Clustering Web Pages by Granulating the Latent Semantic Space Tsau Young ('T. Y.') Lin
- Combinatorial Topology in Documents Tsau Young (`T. Y.') Lin a
- * This research is partially supported by Electric Power Research Institute, Palo Alto, California * On leave from San Jose State University (tylin@cs.sjsu.edu)
- Data Mining and Machine Oriented Modeling: A Granular Computing Approach
