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.
The support of the UK Engineering and Physical Sciences Research Council (EPSRC) under grant GR/N21871 (Genetic Systems Network) is acknowledged.
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References
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.
Dubois, D. and Prade, H. Rough Fuzzy Sets and Fuzzy Rough Sets. Int. J. General Systems, Vol. 17, 191–209.
Dubois, D. and Prade, H.: Random Sets and Fuzzy Interval Analysis. Fuzzy Sets and Systems 42 (1991), 87–101.
Klir, G.J.: Facets of Systems Science. Plenum Press, 1991.
Kruse, R. and Schwecke, E. and Heinsohn, J.: Uncertainty and Vagueness in Knowlegde Based Systems. Springer Verlag, 1991.
Kruse, R. and Gebhardt, J. and Klawonn, F: Foundations of Fuzzy Systems John Wiley & Sons, 1994.
Li, H.X and Yen, V.C.: Fuzzy Sets and Fuzzy Decision Making. CRC Press, 1995.
Pawlak, Z.: Rough Sets. Int. J. of Computing and Information Sciences, Vol. 11, No. 5, 1982, 341–356.
Rosen, R.: Fundamentals of Measurement and Representation of Natural Systems. North-Holland, 1978.
Rosen, R.: Life Itself. Columbia University Press, 1991.
Schrödinger, E.: What is life? Cambridge University Press 1944, (1999).
Shafer, G.: A Mathematical Theory of Evidence. Princeton University Press, 1976.
Wang, P.-Z.: A Factor Spaces Approach to Knowledge Representation. Fuzzy Sets and Systems, Vol. 36 (1990), 113–124.
Wang, P.-Z.: Knowledge Acquisition by Random Sets. International Journal of Intelligent Systems, Vol. 11, 1996, 113–147.
Wiener, N.: Cybernetics: Control and Communication in the Animal and the Machines, 1961
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.
Wolkenhauer, O.: Fuzzy Relational Biology: A Factor-Space Approach to Genome Analysis. Book manuscript. See http://www.umist.ac.uk/csc/people/wolkenhauer.htm.
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.
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Wolkenhauer, O. (2001). On Information Fusion in the Life-Sciences. In: Della Riccia, G., Lenz, HJ., Kruse, R. (eds) Data Fusion and Perception. International Centre for Mechanical Sciences, vol 431. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2580-9_7
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DOI: https://doi.org/10.1007/978-3-7091-2580-9_7
Publisher Name: Springer, Vienna
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