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

NCUIR > School of Management at National Central University > Department of Business Administration > journal & Dissertation > Item 987654321/51738

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/51738

Title:	A measurement model for experts knowledge-based systems algorithm using fuzzy analytic network process
Authors:	Chang,CW;Horng,DJ;Lin,HL
Contributors:	企業管理學系
Keywords:	TOPSIS;AHP;UNCERTAINTY;ENVIRONMENT;ATTRIBUTES;SOFTWARE;QUALITY
Date:	2011
Issue Date:	2012-03-27 19:03:59 (UTC+8)
Publisher:	國立中央大學
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. Crown Copyright (C) 2010 Published by Elsevier Ltd. All rights reserved.
Relation:	EXPERT SYSTEMS WITH APPLICATIONS
Appears in Collections:	[Department of Business Administration ] journal & Dissertation

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