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An exposition of uncertain reasoning based analysis: an investigation of total hip arthroplasty

Beynon, Malcolm James, Holt, Catherine Avril and Whatling, Gemma Marie 2011. An exposition of uncertain reasoning based analysis: an investigation of total hip arthroplasty. In: Igelnik, Boris ed. Computational modeling and simulation of intellect: current state and future perspectives, Hershey, PA.: IGI Global, pp. 183-205. (10.4018/978-1-60960-551-3.ch008)

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Abstract

Uncertain reasoning is closely associated with the pertinent analysis of data where there may be imprecision, inexactness, and uncertainty in its information content. In computer modelling, this should move any analysis to be inclusive of such potential uncertainty, away from the presumption of perfect data to be worked with. The nascent Classification and Ranking Belief Simplex (CaRBS) technique employed in this chapter enables analysis in the spirit of uncertain reasoning. The operational rudiments of the CaRBS technique are based on the Dempster-Shafer theory of evidence, affording the presence of ignorance in any analysis undertaken. An investigation of Total Hip Arthraplasty (THA), concerned with hip replacements, forms the applied problem around which the uncertain reasoning based analysis using CaRBS is exposited. The presented findings include the levels of fit in constructed models, and the contribution of features within the models. Where appropriate, numerical calculations are shown, to illustrate this novel form of analysis.

Item Type: Book Section
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Engineering
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
Publisher: IGI Global
ISBN: 9781609605513
Related URLs:
Last Modified: 04 Jun 2017 03:36
URI: http://orca.cf.ac.uk/id/eprint/23538

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