Rough and Rough-Fuzzy Sets in Design of Information Systems

[1]  Frederick E. Petry,et al.  Attribute-oriented fuzzy generalization in proximity- and similarity-based relational database systems: Research Articles , 2007 .

[2]  Frederick E. Petry,et al.  Attribute‐oriented fuzzy generalization in proximity‐ and similarity‐based relational database systems , 2007, Int. J. Intell. Syst..

[3]  Theresa Beaubouef,et al.  Normalization in a Rough Relational Database , 2005, RSFDGrC.

[4]  Theresa Beaubouef,et al.  Representation of spatial data in an OODB using roughand fuzzy set modeling , 2005, Soft Comput..

[5]  Theresa Beaubouef,et al.  Rough set spatial data modeling for data mining , 2004, Int. J. Intell. Syst..

[6]  Thomas Bittner,et al.  Stratified Rough Sets and Vagueness , 2003, COSIT.

[7]  T. Beaubouef,et al.  A rough set foundation for spatial data mining involving vague regions , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

[8]  Noureddine Mouaddib,et al.  SEQ: a fuzzy set-based approach to database summarization , 2002, Fuzzy Sets Syst..

[9]  Jerry M. Mendel,et al.  Type-2 fuzzy sets made simple , 2002, IEEE Trans. Fuzzy Syst..

[10]  F. Petry,et al.  Vague regions and spatial relationships: a rough set approach , 2001, Proceedings Fourth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2001.

[11]  Theresa Beaubouef,et al.  Vagueness in Spatial Data: Rough Set and Egg-Yolk Approaches , 2001, IEA/AIE.

[12]  Thomas Bittner,et al.  Rough Sets in Spatio-temporal Data Mining , 2000, TSDM.

[13]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[14]  Ola Ahlqvist,et al.  Rough classification and accuracy assessment , 2000, Int. J. Geogr. Inf. Sci..

[15]  Theresa Beaubouef,et al.  Fuzzy rough set techniques for uncertainty processing in a relational database , 2000, Int. J. Intell. Syst..

[16]  Krassimir T. Atanassov,et al.  Intuitionistic Fuzzy Sets - Theory and Applications , 1999, Studies in Fuzziness and Soft Computing.

[17]  Andrzej Skowron,et al.  Rough-Fuzzy Hybridization: A New Trend in Decision Making , 1999 .

[18]  Michael F. Worboys,et al.  Imprecision in Finite Resolution Spatial Data , 1998, GeoInformatica.

[19]  Theresa Beaubouef,et al.  Information-Theoretic Measures of Uncertainty for Rough Sets and Rough Relational Databases , 1998, Inf. Sci..

[20]  M. Worboys.  Computation with imprecise geospatial data , 1998 .

[21]  Jiawei Han,et al.  Generalization-Based Data Mining in Object-Oriented Databases Using an Object Cube Model , 1998, Data Knowl. Eng..

[22]  G. Arora,et al.  Information measure of type /spl beta/ under similarity relations , 1997, Proceedings of 6th International Fuzzy Systems Conference.

[23]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[24]  Theresa Beaubouef,et al.  EXTENSION OF THE RELATIONAL DATABASE AND ITS ALGEBRA WITH ROUGH SET TECHNIQUES , 1995, Comput. Intell..

[25]  T. Beaubouef,et al.  Fuzzy set quantification of roughness in a rough relational database model , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[26]  Tomasz Imielinski,et al.  Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.

[27]  Gultekin Özsoyoglu,et al.  Incomplete Relational Database Models Based on Intervals , 1993, IEEE Trans. Knowl. Data Eng..

[28]  Nikhil R. Pal,et al.  Some new information measures for fuzzy sets , 1993, Inf. Sci..

[29]  Gregory Piatetsky-Shapiro,et al.  Knowledge Discovery in Databases: An Overview , 1992, AI Mag..

[30]  Jiawei Han,et al.  Knowledge Discovery in Databases: An Attribute-Oriented Approach , 1992, VLDB.

[31]  R. Słowiński.  Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory , 1992 .

[32]  Dorota Kuchta,et al.  Further remarks on the relation between rough and fuzzy sets , 1992 .

[33]  Sujeet Shenoi,et al.  Functional dependencies and normal forms in the fuzzy relational database model , 1992, Inf. Sci..

[34]  R. Słowiński.  A generalization of the indiscernibility relation for rough set analysis of quantitative information , 1992 .

[35]  S. Nanda,et al.  Fuzzy rough sets , 1992 .

[36]  Z. Pawlak.  Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .

[37]  Padmini Srinivasan,et al.  The Importance of Rough Approximations for Information Retrieval , 1991, Int. J. Man Mach. Stud..

[38]  Maciej Wygralak.  Rough sets and fuzzy sets—some remarks on interrelations , 1989 .

[39]  D. Dubois,et al.  Twofold fuzzy sets and rough sets—Some issues in knowledge representation , 1987 .

[40]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .

[41]  J. Ross Quinlan,et al.  Induction of Decision Trees , 1986, Machine Learning.

[42]  Peter P. Chen,et al.  Entity — Relationship modeling and fuzzy databases , 1986, 1986 IEEE Second International Conference on Data Engineering.

[43]  Z. Pawlak.  Rough sets and fuzzy sets , 1985 .

[44]  Frederick E. Petry,et al.  Uncertainty models in information and database systems , 1985 .

[45]  Zdzislaw Pawlak,et al.  On Conflicts , 1984, Int. J. Man Mach. Stud..

[46]  Richard Hull,et al.  Order Dependency in the Relational Model , 1983, Theor. Comput. Sci..

[47]  B. Ebanks.  On measures of fuzziness and their representations , 1983 .

[48]  K. T. Fung,et al.  The Database Entropy Concept And Its Application To The Data Allocation Problem , 1980 .

[49]  Akifumi Makinouchi,et al.  A Consideration on Normal Form of Not-Necessarily-Normalized Relation in the Relational Data Model , 1977, VLDB.

[50]  Settimo Termini,et al.  A Definition of a Nonprobabilistic Entropy in the Setting of Fuzzy Sets Theory , 1972, Inf. Control..

[51]  E. F. Codd,et al.  A relational model of data for large shared data banks , 1970, CACM.

[52]  Claude E. Shannon,et al.  The mathematical theory of communication , 1950 .

[53]  Theresa Beaubouef,et al.  Rough Sets , 2009, Database Technologies: Concepts, Methodologies, Tools, and Applications.

[54]  Theresa Beaubouef,et al.  Spatial data methods and vague regions: A rough set approach , 2007, Appl. Soft Comput..

[55]  Theresa Beaubouef,et al.  Intuitionistic Rough Sets for Database Applications , 2007, Trans. Rough Sets.

[56]  Jerzy W. Grzymala-Busse,et al.  Transactions on Rough Sets VI, Commemorating the Life and Work of Zdzislaw Pawlak, Part I , 2007, Trans. Rough Sets.

[57]  Theresa Beaubouef,et al.  Rough Functional Dependencies , 2004, IKE.

[58]  Janusz Kacprzyk,et al.  Computing with Words in Information/Intelligent Systems 1 , 1999 .

[59]  Tsau Young Lin,et al.  Granular Computing: Fuzzy Logic and Rough Sets , 1999 .

[60]  Didier Dubois,et al.  Putting Rough Sets and Fuzzy Sets Together , 1992, Intelligent Decision Support.

[61]  J. N. Kapur,et al.  Entropy optimization principles with applications , 1992 .

[62]  Tsau Young Lin,et al.  Topological and Fuzzy Rough Sets , 1992, Intelligent Decision Support.

[63]  J. Grzymala-Busse.  Managing uncertainty in expert systems , 1991 .

[64]  Ramez Elmasri,et al.  Fundamentals of Database Systems , 1989 .

[65]  George J. Klir,et al.  Fuzzy sets, uncertainty and information , 1988 .

[66]  Henry F. Korth,et al.  SQL/NF: a query language for ¬1 NF relational databases , 1987, Inf. Syst..

[67]  Bill P. Buckles,et al.  Information-theoretical characterization of fuzzy relational databases , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[68]  Jan Havrda,et al.  Quantification method of classification processes. Concept of structural a-entropy , 1967, Kybernetika.