模糊逻辑
模糊集
口译(哲学)
鉴定(生物学)
相似性(几何)
集合(抽象数据类型)
计算机科学
数据挖掘
生态学
人工智能
生物
图像(数学)
程序设计语言
作者
Jesús Olivero,Raimundo Real,Ana Luz Márquez
出处
期刊:Systematic Biology
[Oxford University Press]
日期:2011-04-07
卷期号:60 (5): 645-660
被引量:53
标识
DOI:10.1093/sysbio/syr026
摘要
Chorotypes--statistically significant groups of coincident distribution areas--constitute biogeographic units that are fuzzy by nature. This quality has been referred to in the literature but has not been analyzed in depth or methodologically developed. The present work redefines chorotypes as fuzzy sets from a pragmatic perspective and basically focuses on the methodological and interpretative implications of this approach. The amphibian fauna in the Iberian Peninsula was used as an example to explore the fuzzy nature of chorotypes. The method on which this article is based is a widely used technique to define chorotypes. This method involves the fuzziness that is inherent to the identification between degree of similarity and degree of membership and includes a probabilistic analysis of the classification for the objective delimitation of chorotypes. The main innovation of this paper is a procedure to analyze chorotypes as fuzzy biogeographic units. A set of fuzzy parameters to deal with the biogeographic interpretation of fuzzy chorotypes is also described. A computer program has been developed and is freely available. History may be related to the degree of fuzziness of chorotypes. In our example, with amphibian distributions in Iberia, less fuzzy chorotypes could have a historical explanation, and the internal fuzziness of chorotypes increases with their distance to hypothetical Pleistocene refugia.
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