A comparative model of kinds of composite wood regarding customers' perspective using analytic network process (ANP)

Q4 Business, Management and Accounting International Journal of Multicriteria Decision Making Pub Date : 2014-01-01 DOI:10.1504/IJMCDM.2014.066870
M. Azizi, Fatemeh Sarfi, M. Faezipour, A. Arian
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引用次数: 3

Abstract

In order to compare composite wood in Iran, a hierarchy was designed to prioritise benefits, opportunities, costs and risks using analytic hierarchy process rating approach. BOCR structure was determined by providing questionnaires and collecting data from knowledgeable persons who were consumers of the products in wood industry. The BOCR was affected by all factors. All these were weighted by AHP. Also, using questionnaire, the pair-wise comparison was made both for sub-criteria and for four alternatives with respect to the criteria. Then by synthesising criteria weights with sub-criteria and alternative weights, the total weight of alternatives was calculated through analytical network process.
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基于分析网络过程(ANP)的各种复合木材顾客视角比较模型
为了比较伊朗的复合木材,设计了一个层次结构,使用层次分析法来优先考虑效益、机会、成本和风险。BOCR结构是通过提供问卷调查和从木材工业产品的消费者中收集数据来确定的。BOCR受各因素影响。采用层次分析法进行加权。此外,使用问卷,对子标准和相对于标准的四个备选方案进行两两比较。然后通过子准则权和备选权的综合,通过网络分析计算出备选权的总权重。
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来源期刊
International Journal of Multicriteria Decision Making
International Journal of Multicriteria Decision Making Business, Management and Accounting-Strategy and Management
CiteScore
0.70
自引率
0.00%
发文量
9
期刊介绍: IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields
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