Applying fuzzy hierarchy multiple attributes to construct an expert decision making process

NCUIR > School of Management at National Central University > Graduate Institute of Business Administration > journal & Dissertation > Item 987654321/29595

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29595

Title:	Applying fuzzy hierarchy multiple attributes to construct an expert decision making process
Authors:	Chang,CW;Wu,CR;Lin,HL
Contributors:	企業管理研究所
Keywords:	ANALYTIC HIERARCHY;SYSTEM SELECTION;AHP;RANKING;MODEL
Date:	2009
Issue Date:	2010-06-29 20:32:34 (UTC+8)
Publisher:	中央大學
Abstract:	The main objective of this paper is to propose an approach within the AHP framework for tackling the uncertainty and imprecision of service evaluations during pre-negotiation stages, where the expert's comparison judgments are represented as fuzzy triangular numbers. A fuzzy prioritization method, which derives crisp priorities from consistent and inconsistent fuzzy comparison matrices, is described. The fuzzy analytic hierarchy process (FAHP)-based decision-making method can provide decision makers or buyer a valuable reference for evaluating software quality. A case study demonstrates the effectiveness of the proposed scheme. Importantly, the proposed scheme can assist decision makers in assessing the feasibility of digital video recorder system to management public space, making it highly applicable for academic and commercial purposes. (C) 2008 Elsevier Ltd. All rights reserved.
Relation:	EXPERT SYSTEMS WITH APPLICATIONS
Appears in Collections:	[Graduate Institute of Business Administration] journal & Dissertation

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