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Fuzzy-Set-Theoretic Applications in Modeling of Man-Machine Interactions

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An Introduction to Fuzzy Logic Applications in Intelligent Systems

Part of the book series: The Springer International Series in Engineering and Computer Science ((SECS,volume 165))

Abstract

According to Harre (1972) there are two major purposes of models in science: 1) logical, which enables to make certain inferences which would not otherwise be possible to be made; and 2) epistemiological, to express and extend our knowledge of the world. Models are helpful for explanation and theory formation, as well as simplication and concretization. Zimmermann (1980) classifies models into three groups: 1) formal models (purely axiomatic systems with purely fictitious hypotheses), 2) factual models (conclusions from the models have a bearing on reality and they have to be verified by empirical evidence), and 3) prescriptive models (which postulate rules according to which people should behave). The quality of a model depends on the properties of the model and the functions for which the model is designed (Zimmermann, 1980). In general, good models must have three major properties: 1) formal consistency (all conclusions follow from the hypothesis), 2) usefulness, and 3) efficiency (the model should fulfill the desired function at a minimum effort, time and cost).

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Author information

Authors and Affiliations

  1. Center for Industrial Ergonomics, University of Louisville, Louisville, KY, 40292, USA

    Waldemar Karwowski

  2. School of Industrial Engineering, Purdue University West Lafayette, IN, 47907, USA

    Gavriel Salvendy

Authors
  1. Waldemar Karwowski
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  2. Gavriel Salvendy
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Editor information

Editors and Affiliations

  1. Iona College, USA

    Ronald R. Yager

  2. University of California, Berkeley, USA

    Lotfi A. Zadeh

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© 1992 Springer Science+Business Media New York

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Karwowski, W., Salvendy, G. (1992). Fuzzy-Set-Theoretic Applications in Modeling of Man-Machine Interactions. In: Yager, R.R., Zadeh, L.A. (eds) An Introduction to Fuzzy Logic Applications in Intelligent Systems. The Springer International Series in Engineering and Computer Science, vol 165. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3640-6_9

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  • DOI: https://doi.org/10.1007/978-1-4615-3640-6_9

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-6619-5

  • Online ISBN: 978-1-4615-3640-6

  • eBook Packages: Springer Book Archive

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