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BibTeX entry
@Article{Freeman:1994:AIF,
author = "James A. Freeman",
title = "Artificial Intelligence: Fuzzy Systems for Control
Applications: The Truck Backer-Upper",
journal = j-MATHEMATICA-J,
volume = "4",
number = "1",
pages = "64--69",
month = "Winter",
year = "1994",
CODEN = "????",
ISSN = "1047-5974 (print), 1097-1610 (electronic)",
ISSN-L = "1047-5974",
bibdate = "Sat Nov 6 13:33:52 MDT 2010",
bibsource = "http://www.math.utah.edu/pub/tex/bib/mathematica.bib;
http://www.math.utah.edu/pub/tex/bib/mathematicaj.bib;
http://www.mathematica-journal.com/issue/v4i1/",
URL = "http://www.mathematica-journal.com/issue/v4i1/columns/freeman/64-69_Jim41.mj.pdf;
http://www.mathematica-journal.com/issue/v4i1/columns/freeman/index.html",
abstract = "In this column, we introduce another tool in the
advanced automation toolbox: fuzzy logic. The basis of
fuzzy logic lies in the ambiguity in our thinking about
concepts such as big, tall, slow, or bright, whose
meanings are not only context dependent, but also
ambiguous within a particular context. Using fuzzy sets
named by these ambiguous linguistic variables, we can
build applications that can outperform many of their
traditional counterparts. As an example of the
application of this technology, we will develop a fuzzy
control system that automatically backs up a truck to a
specified point on a loading dock.",
acknowledgement = ack-ble # " and " # ack-nhfb,
journal-URL = "http://www.mathematica-journal.com/",
}
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