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

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题名:	A measurement model for experts knowledge-based systems algorithm using fuzzy analytic network process
作者:	Chang,CW;Horng,DJ;Lin,HL
贡献者:	企業管理學系
关键词:	TOPSIS;AHP;UNCERTAINTY;ENVIRONMENT;ATTRIBUTES;SOFTWARE;QUALITY
日期:	2011
上传时间:	2012-03-27 19:03:59 (UTC+8)
出版者:	國立中央大學
摘要:	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.
關聯:	EXPERT SYSTEMS WITH APPLICATIONS
显示于类别:	[企業管理學系] 期刊論文

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