Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.503926
Title: The development of a neurofuzzy expert system for performance prediction
Author: Hovichit, Wirawan
Awarding Body: University of Bristol
Current Institution: University of Bristol
Date of Award: 2009
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Abstract:
An effective "Performance Measurement System" is a key requirement for success in today's uncertain business environment, as ongoing performance monitoring becomes ever more essential in an increasingly competitive arena. The construction industry in particular has failed to develop a workable system with which to do this, despite various attempts in recent years by researchers to develop a model specifically for use in the field. The problem is generally agreed to lie in the fact that traditional performance measurement systems have only measured success based on past performance ("lagging indicators") whereas the key to successfully increasing project performance in the future lies in being able to predict future trends and suggest areas for improvement ("leading indicators"). Therefore it could be argued that the development of a predictive model for use within the construction industry is imperative for its very survival.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.503926  DOI: Not available
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