Summary
For the development of a knowledge-based system for a well established application domain it is often necessary to integrate knowledge representation as well as algorithmic solution techniques. For the first part, it is desirable to use the possiblities of dedicated expert system shells like the Knowledge Engineering Environment (KEE) which integrate frame and production rule languages to form hybrid representation facilities. For the second part, most application programs, i e. in our case data analysis algorithms for different problem types, have been implemented in command-oriented languages like FORTRAN etc. So, it seems natural to represent the expert knowledge (and the decision support process) in the KEE system and to access the data analysis programs (and the numerical processing capabilities) available on other computers. The experiences in interfacing two different working environments, here KEE/LISP and FORTRAN/MSDOS, as well as the technical details of an experimental implementation are discussed.
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
Barthélemy JP, Monjardet B (1981) The Median Procedure in Cluster Analysis and Social Choice Theory. Mathematical Social Sciences 1: 235–267
Barthélemy JP, Monjardet B (1988) The Median Procedure in Data Analysis: New Results and Open Problems, to appear in: Bock HH (ed.) Proceedings of the First Conference of the International Federation of Classification Societies. North-Holland, Amsterdam
Bobrow DG, Winograd T (1977) An Overview of KRL, a Knowledge Representation Language. Cognitive Science 1: 3–46
Brachman RJ, Schmolze JG (1985) An Overview of the KL-ONE Knowledge Representation System. Cognitive Science 9: 171–216
Fikes R, Kehler T (1985) The Role of Frame-Based Representation in Reasoning. Communications of the ACM 28: 904–920
Leclerc B (1988) Concensus Applications in the Social Sciences, to appear in: Bock HH (ed.) Proceedings of the First Conference of the International Federation of Classification Societies. North-Holland, Amsterdam
Minsky M (1975) A Framework for Representing Knowledge, in: Winston PH (ed.) The Psychology of Computer Vision, McGraw-Hill, New York, pp 211–277
Schader M (1978) Anordnung und Klassifikation von Objekten bei qualitativen Merkmalen. Anton Hain, Meisenheim/Glan
Schader M, Tüshaus U (1986) Subgradient Methods for Analyzing Qualitative Data, in: Gaul W, Schader M (eds.) Classification as a Tool of Research. North-Holland, Amsterdam, pp 397–403
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1988 Springer-Verlag Berlin · Heidelberg
About this paper
Cite this paper
Tüshaus, U. (1988). Decision Support for Qualitative Data Analysis — KEE Shell Linked to FORTRAN Programs —. In: Gaul, W., Schader, M. (eds) Data, Expert Knowledge and Decisions. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-73489-2_17
Download citation
DOI: https://doi.org/10.1007/978-3-642-73489-2_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-73491-5
Online ISBN: 978-3-642-73489-2
eBook Packages: Springer Book Archive