학술논문
Dealing with vagueness in threatened species classification
Document Type
Conference
Author
Source
18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Fuzzy information processing Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American. :685-689 1999
Subject
Language
Abstract
Endangered species classification uses categories that are intrinsically vague which presents problems for those involved in the classification process. This is usually dealt with by providing precise definitions of the relevant categories. In this paper we propose a fuzzy set-theoretic alternative that maintains the inherent vagueness of the categories in question without compromising the utility of the classification scheme. Moreover, we argue that, in many cases, it leads to intuitively more appropriate classifications.