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

  • Waldemar Karwowski
  • Gavriel Salvendy
Part of the The Springer International Series in Engineering and Computer Science book series (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).

Keywords

Selection Rule Fuzzy Model Compatibility Function Knowledge Elicitation Fuzzy Descriptor 
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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Copyright information

© Springer Science+Business Media New York 1992

Authors and Affiliations

  • Waldemar Karwowski
    • 1
  • Gavriel Salvendy
    • 2
  1. 1.Center for Industrial ErgonomicsUniversity of LouisvilleLouisvilleUSA
  2. 2.School of Industrial EngineeringPurdue University West LafayetteUSA

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