Document Type
Journal Article
Publisher
Taylor & Francis
Faculty
Faculty of Health, Engineering and Science
School
School of Natural Sciences
RAS ID
19246
Abstract
Using a data base underpinned by probability considerations in which a variety of attributes, some of which may be quantitative, are recorded for a number of “operational taxonomic units” (OTUs), a key system is described by which an unnamed specimen may quickly be identified. The concept of “diagnostic power” is introduced, by which each attribute is evaluated in terms of its potential contribution to identifying the unnamed specimen. Besides coverage of different types of attributes and the introduction of “diagnostic power”, the system has the advantages of incorporating multiple values of an attribute for each OTU and offering short-cuts to identification.
DOI
10.1080/11263504.2014.913731
Access Rights
free_to_read
Comments
This is an Accepted Manuscript of an article published by Taylor & Francis in Plant Biosystems on 12 Jun 2014: Goodall D.W. (2014). Identification of unknowns within a probabilistic system: The diagnostic value of attributes. Plant Biosystems, 148(6), 1346-1354. Available here