ON DIVERSITY
成果类型：
Article
署名作者：
WEITZMAN, ML
刊物名称：
QUARTERLY JOURNAL OF ECONOMICS
ISSN/ISSBN：
0033-5533
DOI：
10.2307/2118476
发表日期：
1992
页码：
363-405
关键词：
摘要：
An oft-repeated goal in many contexts is the preservation of diversity. But what is the diversity function to be optimized? This paper shows how a reasonable measure of the value of diversity of a collection of objects can be recursively generated from more fundamental information about the dissimilarity-distance between any pair of objects in the set. The diversity function is shown to satisfy a basic dynamic programming equation, which in a well-defined sense generates an optimal classification scheme. A surprisingly rich theory of diversity emerges, having ramifications for several disciplines. Implications and applications are discussed.
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