Skip to main content

Knowledge Recognition, Rough Sets, and Formal Concept Lattices

  • Conference paper
Rough Sets, Fuzzy Sets and Knowledge Discovery

Part of the book series: Workshops in Computing ((WORKSHOPS COMP.))

  • 202 Accesses

Abstract

As we have recently emphasized elsewhere (W. A. Sedelow & S. Y. Sedelow, 1993b), Knowledge Delivery globally at least compares with Health Care Delivery in social importance--which is to say that internationally it is one of the salient social problems of the present day. At this Conference we are concerned, by way of current and prospective interactions between research and researchers in the domains of Knowledge Discovery and of Rough Sets, to make technical contributions to the alleviation of that problem. Knowledge, it goes without saying, always has been in shorter supply than needed; but now the deficit in available, delivered knowledge has become an overriding concern around the world, in no small measure owing to the disarray in human lives occasioned by widespread disruption in more or less traditional and systemic relationships (W. A. Sedelow & S. Y. Sedelow, 1993a), thereby creating a necessity for working through to solution more problems in less time than ever previously has been required of the human species.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

Bibliography

  • Armstrong, D.M. 1989. A Combinatori al Theory of Possibility. Cambridge: Cambridge University Press.

    Google Scholar 

  • Brent, Joseph. 1993. Charles Sanders Peirce. Bloomington: University of Indiana Press.

    MATH  Google Scholar 

  • Brugman, Claudia, and George Lakoff. 1988. “Cognitive Topology and Lexical Networks,” in S. Small, G. Cottrell, and M. Tanenhaus, eds., Lexical Ambiguity Resolution, Palo Alto: Morgan Kaufmann, 477–508.

    Google Scholar 

  • Churchland, Patricia S., and Terrence J. Sejnowski. 1992. The Computational Brain. Cambridge: MIT Press.

    Google Scholar 

  • Grzymala-Busse, J.W. 1990. “On the Reduction of Instance Space in Learning from Examples,” Proceedings, Methodologies for Intelligent Systems, 5, 388–395. Elsevier.

    Google Scholar 

  • Grzymala-Busse, J.W., and Sachin Mithal. 1990. “A Comparison of Four Tests for Attribute Dependency in the LEM and LERS Systems for Learning from Examples,” Proceedings, Third International Conference on Industrial and Engineering Applications of Artificial Intelligence & Expert Systems, Vol. II:949–958. ACM. 60

    Google Scholar 

  • Grzymala-Busse, Jerzy W., and Soe Than. 1993. “Data Compression in Machine Learning Applied to Natural Language,” Behavioral Research Methods* Instrumentation,and Computers, 25:2, 318–321.

    Article  Google Scholar 

  • Old, John. 1993. “Image Schemas and Lexicons: A Comparison Between Lexical Networks,” Proceedings, Fifth Midwest Artificial Intelligence and Congitive Science Society Conference, ed. Thomas Ahlswede, Central Michigan University.

    Google Scholar 

  • Pawlak, Zdzislaw. 1982. “Rough Sets,” International Journal of Information and Computer Science. 11: 341–356.

    Article  MATH  MathSciNet  Google Scholar 

  • Sedelow, Sally Yeates. 1987. “An Interlingual Communication Support System (ICSS) Example Re Chinese/English Classroom Instruction,” Proceedings, Methods III, International Conference on Foreign Language Teaching, University of Northern Iowa, Cedar Falls, 115–120.

    Google Scholar 

  • Sedelow, Sally Yeates, and Walter A. Sedelow, Jr. 1986a. “The Lexicon in the Background,” Winfred Lehmann, ed., Computers and Translation, I:2, 73–81.

    Google Scholar 

  • Sedelow, Sally Yeates, and Walter A. Sedelow, Jr. 1992. “Recent Model-Based and Model-Related Studies of a Large-Scale Lexical Resource,” Proceedings, COLING-92 [14th Biennial Conference for The International Committee on Computational Linguistics; Nantes], 1223–1227.

    Google Scholar 

  • Sedelow, Walter A., Jr. 1968. “History as Language,” Computer Studies in the Humanities and Verbal Behavior, 1 (4).

    Google Scholar 

  • Sedelow, Walter A., Jr. 1991. “Human Computing in a Neurosciences Perspective: Implications for MT [Machine Translation] in Europe, Proceedings, 15th Annual European Studies Conference; University of Nebraska/Omaha; 336–339.

    Google Scholar 

  • Sedelow, Walter A., Jr. 1988. “Knowledge Retrieval from Domain-Transcendent Expert Systems: I. Some Concepts from Cognitive Robotics,” Proceedings, 51st Annual Meeting of the American Society for Information Science, 25: 205–208.

    Google Scholar 

  • Sedelow, Walter A., Jr. 1992. “Petri Nets for Coordinating Studies Across University and National Boundaries in the Pacific Region,” Proceedings, Pacific Telecommunications Conference, ed. Lofstrom and Wedemeyer, Pacific Telecommunications Council, Honolulu; 258–265.

    Google Scholar 

  • Sedelow, Walter A., Jr. and Sally Yeates Sedelow. 1992a. “Artificial Intelligence, A New Tack,” Proceedings, Martha Evens, ed., Fourth Midwest Artificial Intelligence and Cognitive Science Society Conference, Illinois Institute of Technology, 122–130.

    Google Scholar 

  • Sedelow, Walter A., Jr. and Sally Yeates Sedelow. 1994. “Graph Theory, Set Theory, and Order Theory in Semantic Space Analysis for Use in Knowledge Representation,” Proceedings, World Congress on Expert Systems ‘84 [Estoril/Lisbon]. (In Press.)

    Google Scholar 

  • Sedelow, Walter A., Jr. and Sally Yeates Sedelow. 1993a. “Interlinguae,” Proceedings, International Conference on Computing and Information [Sudbury, Ontario], IEEE Press. (In Press.)

    Google Scholar 

  • Sedelow, Walter A., Jr. and Sally Yeates Sedelow. 1993b. “Multicultural/Multilingual Electronically-Mediated Communication.” [1993 Conference on Computing for the Social Sciences: “Grand Challenges for the Social Sciences.” National Center for Supercomputing Applications, University of Illinois].

    Google Scholar 

  • Sedelow, Walter A., Jr. and Sally Yeates Sedelow. 1987. “Semantic Space,” Winfred Lehmann, ed., Computers and Translation, 2: 231–242.

    Article  Google Scholar 

  • Shearer, Kenneth D. 1986. “The Geolinguistics of Information: English vis-a-vis Other Major Languages,” International Library Review, 18: 223–230.

    Article  Google Scholar 

  • Wille, R. 1990. Concept Lattices and Conceptual Knowledge Systems. Preprint Nr. 1340, Darmstadt: Technische Hochschule.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1994 British Computer Society

About this paper

Cite this paper

Sedelow, W.A., Sedelow, S.Y. (1994). Knowledge Recognition, Rough Sets, and Formal Concept Lattices. In: Ziarko, W.P. (eds) Rough Sets, Fuzzy Sets and Knowledge Discovery. Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3238-7_7

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-3238-7_7

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19885-7

  • Online ISBN: 978-1-4471-3238-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics