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International Journal of Engineering، جلد ۲۸، شماره ۱۲، صفحات ۱۷۴۶-۱۷۵۵
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
A Common Weight Multi-criteria Decision analysis-data Envelopment Analysis Approach with Assurance Region for Weight Derivation from Pairwise Comparison Matrices |
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| چکیده انگلیسی مقاله |
Deriving weights from a pairwise comparison matrix (PCM) is a subject for which a wide range of methods have ever been presented. This paper proposes a common weight multi criteria decision analysis-data envelopment analysis (MCDA-DEA) approach with assurance region for weight derivation from a PCM. The proposed model has several merits over the competing approaches and removes the drawbacks of the well-known DEAHP and DEA/AR methods. Some numerical examples are provided from the literature in order to confirm the merits of the proposed method and its applications in multi criteria decision making. Results disclose the advantages of the proposed approach. |
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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
S. A. Torabi |
School of Industrial Engineering, University of Tehran
Neda Pourreza |
School of Industrial Engineering, University of Tehran
Seyed Morteza Hatefi |
Faculty of Engineering, ShahreKord University
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| نشانی اینترنتی |
http://www.ije.ir/article_72633_43052c556ffcfde68fa378e4a31e2e75.pdf |
| فایل مقاله |
اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2062399.pdf |
| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
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