"Quantifying Data for Group Technology
with Weighted Fuzzy Features"
Inter'l Journal of Production Research,
1992, Vol. 30, No. 6, pp. 1285-1299.
David Ben-Arieh and Evangelos Triantaphyllou
Abstract:
The high potential of using group technology in manufacturing has
attracted the interest of both practitioners and researchers.
Group technology is based on clustering parts which have similar
features. Very often it is very hard to quantify successfully data
regarding these features. This is because in many real
applications features are fuzzy. This paper identifies two types
of fuzzy features: qualitative features, and quantitative ones with
subjective meaning. The paper presents a methodology for
quantifying the data that refer to the fuzzy features. The
proposed methodology deals with crisp and fuzzy data in a unified
manner. Finally, some clustering approaches which process the
quantified features are also discussed.
Key Words:
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