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Fuzzy Linguistic Methods for the Aggregation of Complementary Sensor Information

  • Chapter
Aggregation and Fusion of Imperfect Information

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 12))

Abstract

The problem of the aggregation of complementary information is a crucial point in the monitoring of large intelligent systems. This paper deals with the cases in which there is no analytical mathematic model to derive new information from the basic measurements. Our artificial intelligence approach consists in using linguistic knowledge provided by experts. In the second section, we explain within the framework of the fuzzy subset theory how the numeric and linguistic representations could be used in the measurement aggregation problems. Next, the third section proposes an interpolation mechanism that creates a fuzzy partition of the numeric multi-dimensional space of the basic features. In section four, we present a formal symbolical representation of fuzzy If ... Then ... rules for the combination of basic features. The proposed methods are then applied in section five to the problem of the navigation of a mobile robot equipped with two ultrasonic range finding sensors, giving the proximity, the orientation, and the danger of an obstacle by the aggregation of the distance information provided by each one.

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Authors and Affiliations

  1. LAMII/CESALP, Université de Savoie, 41 Avenue de la Plaine, BP 806, F-74016, Annecy, France

    G. Mauris, E. Benoit & L. Foulloy

Authors
  1. G. Mauris
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  2. E. Benoit
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  3. L. Foulloy
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Editors and Affiliations

  1. Centre National de la Recherche Scientifique, LIP6 — Laboratoire d’Informatique de Paris 6, Université Pierre et Marie Curie, 4, Place Jussieu, Case 169, F-75252, Paris Cedex 05, France

    Bernadette Bouchon-Meunier

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© 1998 Springer-Verlag Berlin Heidelberg

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Mauris, G., Benoit, E., Foulloy, L. (1998). Fuzzy Linguistic Methods for the Aggregation of Complementary Sensor Information. In: Bouchon-Meunier, B. (eds) Aggregation and Fusion of Imperfect Information. Studies in Fuzziness and Soft Computing, vol 12. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1889-5_12

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  • DOI: https://doi.org/10.1007/978-3-7908-1889-5_12

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-662-11073-7

  • Online ISBN: 978-3-7908-1889-5

  • eBook Packages: Springer Book Archive

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