A measurement model for experts knowledge-based systems algorithm using fuzzy analytic network process

Che Wei Chang, Der Juinn Horng, Hung Lung Lin

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

This study proposes an experts knowledge-based systems measurement model, the model using fuzzy analytic network process (FANP) to resolve the uncertainty and imprecision of evaluations during pre-negotiation stages, where the comparison judgments of a decision maker are represented as fuzzy triangular numbers. A novel fuzzy prioritization method, which derives crisp priorities (criteria weights and scores of alternatives) from consistent and inconsistent fuzzy comparison matrices, is also proposed. The applicability of the proposed model is demonstrated in a government purchase digital video recorder (DVR) system project study. The stability tests indicate the advantages of the proposal model in determining the value of model. Importantly, the proposed model can provide decision makers a reference material, making it highly applicable for academic and commercial purposes.

Original languageEnglish
Pages (from-to)12009-12017
Number of pages9
JournalExpert Systems with Applications
Volume38
Issue number10
DOIs
StatePublished - 15 Sep 2011

Keywords

  • Analytic network process (ANP)
  • Digital video recorder system
  • Fuzzy analytic network process (FANP)
  • Fuzzy multi-attribute decision-making (FMADM)
  • Knowledge-based systems algorithm
  • Software evaluation
  • System evaluation

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