Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Zadeh L. and Kacprzyk J. (Eds.) (1999) Computing with Words in Information/Intelligent Systems 1. Foundations. Physica-Verlag, Heidelberg and New York
Zadeh L. and Kacprzyk J. (Eds.) (1999) Computing with Words in Information/Intelligent Systems 2. Applications. Physica-Verlag, Heidelberg and New York
Yager R.R. (1982) A new approach to the summarization of data. Information Sciences 28, 69–86
Yager R.R. (1989) On linguistic summaries of data, Proceedings of IJCAI Workshop on Knowledge Discovery in Databases, Detroit, pp. 378–389
Yager R.R. (1991) On linguistic summaries of data, in: G. Piatetsky-Shapiro and B. Frawley (Eds.), Knowledge Discovery in Databases. MIT, Cambridge, MA, pp. 347–363
Yager R.R. (1994) Linguistic summaries as a tool for database discovery, Proceedings of Workshop on Flexible Query-Answering Systems, Roskilde University, Denmark, pp. 17–22
Yager R.R. (1995) Linguistic summaries as a tool for database discovery, Proceedings of Workshop on Fuzzy Database Systems and Information Retrieval at FUZZ-IEEE/IFES, Yokohama, pp. 79–82
Yager R.R. (1995) Fuzzy summaries in database mining, Proceedings of the 11th Conference on Artificial Intelligence for Applications (Los Angeles, USA), pp. 265–269
Yager R.R. (1996) Database discovery using fuzzy sets. International Journal of Intelligent Systems 11, 691–712
Kacprzyk J. and Yager R.R. (2001) Linguistic summaries of data using fuzzy logic. International Journal of General Systems 30, 33–154
Kacprzyk J., Yager R.R. and Zadrożny S. (2001) Fuzzy linguistic summaries of databases for an efficient business data analysis and decision support, in: W. Abramowicz and J. Zurada J. (Eds.), Knowledge Discovery for Business Information Systems, Kluwer, Boston, pp. 129–152
Rasmussen D. and Yager R.R. (1996) Using summarySQL as a tool for finding fuzzy and gradual functional dependencies, Proceedings of IPMU’96 (Granada, Spain), pp. 275–280
Rasmussen D. and Yager R.R. (1997) A fuzzy SQL summary language for data discovery, in: D. Dubois, H. Prade and R.R. Yager (Eds.), Fuzzy Information Engineering: A Guided Tour of Applications, Wiley, New York, pp. 253–264
Rasmussen D. and Yager R.R. (1997) SummarySQL - A fuzzy tool for data mining. Intelligent Data Analysis - An International Journal 1 (Electronic Publication), URL-http//:www-east.elsevier.com/ida/browse/96–6/ida96–6.htm
Rasmussen D. and Yager R.R. (1999) Finding fuzzy and gradual functional dependencies with summarySQL. Fuzzy Sets and Systems 106, 131–142
Yager R.R. and Rubinson T.C. (1981) Linguistic summaries of data bases, Proceedings of IEEE Conference on Decision and Control (San Diego, USA), pp. 1094–1097
George R. and Srikanth R. (1996) Data summarization using genetic algorithms and fuzzy logic, in: F. Herrera and J.L. Verdegay (Eds.), Genetic Algorithms and Soft Computing. Physica-Verlag, Heidelberg, pp. 599–611
Kacprzyk J. and Zadrożny S. (1998) Data mining via linguistic summaries of data: An interactive approach, in: T. Yamakawa and G. Matsumoto (Eds.), Methodologies for the Conception, Design and Application of Soft Computing (Proceedings of IIZUKA’98, Iizuka, Japan), pp. 668–671
Kacprzyk J. and Zadrożny S. (1999) On interactive linguistic summarization of databases via a fuzzy-logic-based querying add-on to Microsoft Access, in: W. Bernd Reusch (Ed.), Computational Intelligence: Theory and Applications. Springer-Verlag, Heidelberg, pp. 462–472
Kacprzyk J. and Zadrożny S. (2000) On combining intelligent querying and data mining using fuzzy logic concepts, in: G. Bordogna and G. Pasi (Eds.), Recent Research Issues on the Management of Fuzziness in Databases. Physica-Verlag, Heidelberg and New York
Kacprzyk J. and Zadrożny S. (2000) Data mining via fuzzy querying over the Internet, in: O. Pons, M.A. Vila and J. Kacprzyk (Eds.): Knowledge Management in Fuzzy Databases, Physica-Verlag, Heidelberg and New York, pp. 211–233
Kacprzyk J. and Zadrożny S. (2000) Using fuzzy querying over the Internet to browse through information resources, in: P.P. Wang (Ed.), Computing with Words, Wiley, New York
Kacprzyk J. (1999) An interactive fuzzy logic approach to linguistic data summaries, Proceedings of NAFIPS’99 - 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS, IEEE, pp. 595–599
Zadrożny S. and Kacprzyk J. (1999) On database summarization using a fuzzy querying interface, Proceedings of IFSA’99 World Congress (Taipei, Taiwan, R.O.C.), Vol. 1, pp. 39–43
Kacprzyk J. and Zadrożny S. (1994) Fuzzy querying for Microsoft Access, Proceedings of FUZZ-IEEE’94 (Orlando, USA), Vol. 1, pp. 167–171
Kacprzyk J. and Zadrożny S. (1995) Fuzzy queries in Microsoft Access v. 2, Proceedings of FUZZ-IEEE/IFES’95 (Yokohama, Japan), Workshop on Fuzzy Database Systems and Information Retrieval, pp. 61–66
Kacprzyk J. and Zadrożny S. (1995) FQUERY for Access: fuzzy querying for a Windows-based DBMS, in: P. Bosc and J. Kacprzyk (Eds.), Fuzziness in Database Management Systems. Physica-Verlag: Heidelberg, pp. 415–433
Kacprzyk J. and Zadrożny S. (1996) A fuzzy querying interface for a WWW-server-based relational DBMS. Proceedings of IPMU’96 (Granada, Spain), Vol. 1, pp. 19–24
Zadeh L.A. (1983) A computational approach to fuzzy quantifiers in natural languages. Computers and Mathematics 9, 149–184
Zadeh L.A. (1985) Syllogistic reasoning in fuzzy logic and its application to usuality and reasoning with dispositions. IEEE Transaction on Systems, Man and Cybernetics, SMC-15, 754–763
Zadeh L.A. and Kacprzyk J. (Eds.) (1992) Fuzzy Logic for the Management of Uncertainty. Wiley, New York
Yager R.R. (1988) On ordered weighted averaging operators in multicriteria decision making. IEEE Transactions on Systems, Man and Cybernetics, SMC-18, 183–190
Yager R.R. and Kacprzyk J. (1997) The Ordered Weighted Averaging Operators: Theory and Applications. Kluwer, Boston
Liu Y. and Kerre E.E. (1998) An overview of fuzzy quantifiers (I). Interpretations, Fuzzy Sets and Systems 95, 1–21
Saaty T.L. (1980) The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York
Kacprzyk J., Zadrożny S. and Ziółkowski A. (1989) FQUERY III+: a ‘human consistent’ database querying system based on fuzzy logic with linguistic quantifiers. Information Systems 6, 443–453
Kacprzyk J. (1999) A new paradigm shift from computation on numbers to computation on words on an example of linguistic database summarization, in: N. Kasabov (Ed.), Emerging Knowledge Engineering and Connectionist-Based Information Systems - Proceedings of ICONIP/ANZIIS/ANNES’99, University of Otago, pp. 179–179
Kacprzyk J. and Strykowski P. (1999) Linguistic data summaries for intelligent decision support, in: R. Felix (Ed.), Fuzzy Decision Analysis and Recognition Technology for Management, Planning and Optimization - Proceedings of EFDAN’99, pp. 3–12
Kacprzyk J. and Strykowski P. (1999) Linguistic summaries of sales data at a computer retailer: A case study. Proceedings of IFSA’99 (Taipei, Taiwan R.O.C), Vol. 1, pp. 29–33
Kacprzyk J. and Ziółkowski A. (1986) Database queries with fuzzy linguistic quantifiers. IEEE Transactions on Systems, Man and Cybernetics, SMC-16, 474–479
Zemankova M. and Kacprzyk J. (1993) The roles of fuzzy logic and management of uncertainty in building intelligent information Systems. Journal of Intelligent Informations Systems 2, 311–317
Yager R.R. and Kacprzyk J. (1999) Linguistic Data Summaries: A Perspective. Proceedings of IFSA’99 Congress (Taipei), Vol. 1, 44–48
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Kacprzyk, J., Zadrozny, S. (2007). Towards Human-Consistent Data-Driven Decision Support Systems via Fuzzy Linguistic Data Summaries. In: Batyrshin, I., Kacprzyk, J., Sheremetov, L., Zadeh, L.A. (eds) Perception-based Data Mining and Decision Making in Economics and Finance. Studies in Computational Intelligence, vol 36. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36247-0_1
Download citation
DOI: https://doi.org/10.1007/978-3-540-36247-0_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36244-9
Online ISBN: 978-3-540-36247-0
eBook Packages: EngineeringEngineering (R0)