Fuzzy rating framework for knowledge management

Sheng-Tun Li, Hei Fong Ho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this work we deploy five phases of the Case-based Reasoning in a fuzzy rating framework, which illustrates a holistic knowledge management method including eliciting expert's experience into case base, validating the expert's expertise in knowledge-consistency level, aggregating the judgments of weighted experts into final ratings, solving new problem by retrieving the relevant cases, and retaining the adapted case into case base once the experience had been learned. The main contribution of this framework is to explore a novel measure of knowledge-consistency level (KC ratio) for identifying experts in performance-rating domain. The would-be experts ' own judgments were used to validate their knowledge qualities. Moreover, the framework results in an optimal consensus for the performance rating with the help of experts.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Pages601-604
Number of pages4
DOIs
Publication statusPublished - 2007 Dec 1
Event3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007 - Kaohsiung, Taiwan
Duration: 2007 Nov 262007 Nov 28

Publication series

NameProceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.
Volume2

Other

Other3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007
CountryTaiwan
CityKaohsiung
Period07-11-2607-11-28

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Information Systems and Management

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