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An Erp Selection Combination Model Under Uncertainty: A Grey-Bsc-Ahp-Entropy Model
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نویسنده
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Kamfiroozi M.H. ,Bonyadi Naeini A.
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منبع
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International Journal Of Research In Industrial Engineering - 2014 - دوره : 3 - شماره : 3 - صفحه:13 -23
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چکیده
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An enterprise resource planning (erp) software can help organizations and firms in their activities like: production planning, purchase, human resource, finance, sales, inventory control and etc. selection of an erp is mentioned as a multi-criteria decision making (mcdm) problem. however, several mcdm-models are proposed to solve this, but many of them didn't consider uncertainty as an effective environmental factor. in this paper, a new model has designed which used three-parameter interval grey numbers concept that is derived from grey-theory. these numbers can help for reducing the uncertainty of data. besides, a combination model for weighting has planned by implementing ahp and entropy methods that are used in order to reduce uncertainty. and last, a decision making method (three-parameter grey interval incidence degree method) is used for ranking process. there is a case study at the end of this paper that shows how this model works..
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کلیدواژه
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Enterprise Resource Planning (Erp) Selection ,Three-Parameter Interval Grey Numbers ,Ahp ,Shannon En
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آدرس
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Iran University Of Science And Technology, ایران, Iran University Of Science And Technology, ایران
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پست الکترونیکی
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mohammad.kamfirozi@iustn.ac.ir
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Authors
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