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A measurement model for experts knowledge-based systems algorithm using fuzzy analytic network process
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DOI：10.1016/j.eswa.2010.12.144.png)
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Abstract
En 中文
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. Crown Copyright (C) 2010 Published by Elsevier Ltd. All rights reserved.
Keywords:
Knowledge-based systems algorithm
Fuzzy analytic network process (FANP)
Analytic network process (ANP)
Fuzzy multi-attribute decision-making (FMADM)
Digital video recorder system
Software evaluation
System evaluation
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