Similarity and distance measures for cellular manufacturing. Part II. An extension and comparison

Abstract

A new similarity measure that is easy to calculate, intuitively appealing, and overcomes the bias inherent in many existing similarity measures is proposed. This new similarity measure is particularly useful for reducing the size of the cell formation problem thus reducing the computational burden. Additionally, an investigation comparing several measures of association is presented. Included in this investigation is a comparison of single linkage clustering, average linkage clustering, complete linkage clustering, and Ward's method for clustering.

Additional information

Notes on contributors

S. M. SHAFER

To whom correspondence should be addressed.