Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Classification and Ranking Belief Simplex

Beynon, Malcolm James ORCID: 2008. Classification and Ranking Belief Simplex. Adam, F. and Humphreys, P., eds. Encyclopedia of Decision Making and Decision Support Technologies, Hershey, PA: IGI Global, pp. 76-83. (10.4018/978-1-59904-843-7.ch009)

Full text not available from this repository.


The classification and ranking belief simplex (CaRBS), introduced in Beynon (2005a), is a nascent technique for the decision problems of object classification and ranking. With its rudiments based on the Dempster- Shafer theory of evidence—DST (Dempster, 1967; Shafer, 1976), the operation of CaRBS is closely associated with the notion of uncertain reasoning. This relates to the analysis of imperfect data, whether that is data quality or uncertainty of the relationship of the data to the study in question (Chen, 2001). Previous applications which have employed the CaRBS technique include: the temporal identification of e-learning efficacy (Jones & Beynon, 2007) expositing osteoarthritic knee function (Jones, Beynon, Holt, & Roy, 2006), credit rating classification (Beynon, 2005b), and ranking regional long-term care systems (Beynon & Kitchener, 2005). These applications respectively demonstrate its use as a decision support system for academics, medical experts, credit companies, and governmental institutions.

Item Type: Book Section
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Subjects: H Social Sciences > H Social Sciences (General)
Publisher: IGI Global
ISBN: 9781599048437
Related URLs:
Last Modified: 21 Oct 2022 09:50

Citation Data

Actions (repository staff only)

Edit Item Edit Item