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On Information Fusion in the Life-Sciences

  • Olaf Wolkenhauer
Part of the International Centre for Mechanical Sciences book series (CISM, volume 431)

Abstract

In the present text, we shall discuss soft computing as concerned with the fusion of qualitative percepts and quantitative measurements. Whereas the former is obtained from observation, we shall assume that the latter is collected through measurements. Both, observation and measurement provide the information from which we derive knowledge in the modern life-sciences. Studying gene and/or protein interactions, biological databases are used to combine, for example, time-series measurements with sequence data and information about the classification of genes. These classifications or ‘annotations’ are the result of other experiments and observations, not necessarily linked to the experimental data investigated. The fusion of such context-dependent information with facts extracted from numerical data is of importance in the area of bioinformatics. The paper is to highlight the problems of information fusion in the life-sciences and outlines a conceptual framework in which to formulate such problems.

Keywords

Fuzzy Cluster Information Fusion Evidence Theory Fuzzy Partition Fuzzy Equivalence Relation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Dubois, D. and Prade, H.: Unfair coins and necessity measures: Towards a possibilistic interpretation of histograms. Fuzzy Sets and Systems, Vol. 10, 1983, 15–20.CrossRefMATHMathSciNetGoogle Scholar
  2. Dubois, D. and Prade, H. Rough Fuzzy Sets and Fuzzy Rough Sets. Int. J. General Systems, Vol. 17, 191–209.Google Scholar
  3. Dubois, D. and Prade, H.: Random Sets and Fuzzy Interval Analysis. Fuzzy Sets and Systems 42 (1991), 87–101.CrossRefMATHMathSciNetGoogle Scholar
  4. Klir, G.J.: Facets of Systems Science. Plenum Press, 1991.Google Scholar
  5. Kruse, R. and Schwecke, E. and Heinsohn, J.: Uncertainty and Vagueness in Knowlegde Based Systems. Springer Verlag, 1991.Google Scholar
  6. Kruse, R. and Gebhardt, J. and Klawonn, F: Foundations of Fuzzy Systems John Wiley & Sons, 1994.Google Scholar
  7. Li, H.X and Yen, V.C.: Fuzzy Sets and Fuzzy Decision Making. CRC Press, 1995.Google Scholar
  8. Pawlak, Z.: Rough Sets. Int. J. of Computing and Information Sciences, Vol. 11, No. 5, 1982, 341–356.CrossRefMATHMathSciNetGoogle Scholar
  9. Rosen, R.: Fundamentals of Measurement and Representation of Natural Systems. North-Holland, 1978.Google Scholar
  10. Rosen, R.: Life Itself. Columbia University Press, 1991.Google Scholar
  11. Schrödinger, E.: What is life? Cambridge University Press 1944, (1999).Google Scholar
  12. Shafer, G.: A Mathematical Theory of Evidence. Princeton University Press, 1976.Google Scholar
  13. Wang, P.-Z.: A Factor Spaces Approach to Knowledge Representation. Fuzzy Sets and Systems, Vol. 36 (1990), 113–124.CrossRefMATHMathSciNetGoogle Scholar
  14. Wang, P.-Z.: Knowledge Acquisition by Random Sets. International Journal of Intelligent Systems, Vol. 11, 1996, 113–147.MATHGoogle Scholar
  15. Wiener, N.: Cybernetics: Control and Communication in the Animal and the Machines, 1961CrossRefGoogle Scholar
  16. Wolkenhauer, O.: Fuzzy Relational Biology: A Factor-Space Approach to Genome Analysis. Computation in Cells: Proceedings of an EPSRC Emerging Computing Paradigms Workshop. H. Bolouri, R.C. Paton (eds.), 53–58.Google Scholar
  17. Wolkenhauer, O.: Fuzzy Relational Biology: A Factor-Space Approach to Genome Analysis. Book manuscript. See http://www.umist.ac.uk/csc/people/wolkenhauer.htm.
  18. Zhang, W. and Chait, B.T.: ProFound - An Expert System for Protein Identification using Mass Spectrometric Peptide Mapping Information. To appear in Analytical Chemistry, 2000.Google Scholar

Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • Olaf Wolkenhauer
    • 1
  1. 1.Department of Biomolecular Sciences and Department of Electrical Engineering and ElectronicsControl Systems Centre UMISTManchesterUK

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