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Toward a Perception-Based Theory of Probabilistic Reasoning

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Rough Sets and Current Trends in Computing (RSCTC 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2005))

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Abstract

The past two decades have witnessed a dramatic growth in the use of probability- based methods in a wide variety of applications centering on automation of decision-making in an environment of uncertainty and incompleteness of information.

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Authors and Affiliations

  1. Computer Science Division and the Electronic Research Laboratory Department of EECS, University of California, CA 94720-1776, Berkeley

    L. A. Zadeh

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  1. L. A. Zadeh
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Editors and Affiliations

  1. Department of Computer Science, University of Regina Regina, S4S 0A2, Saskatchewan, Canada

    Wojciech Ziarko  & Yiyu Yao  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Zadeh, L.A. (2001). Toward a Perception-Based Theory of Probabilistic Reasoning. In: Ziarko, W., Yao, Y. (eds) Rough Sets and Current Trends in Computing. RSCTC 2000. Lecture Notes in Computer Science(), vol 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45554-X_4

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  • DOI: https://doi.org/10.1007/3-540-45554-X_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43074-2

  • Online ISBN: 978-3-540-45554-7

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