Technology selection in the presence of imprecise data, weight restrictions, and nondiscretionary factors
نویسندگان
چکیده
منابع مشابه
A note on “Supplier selection by the pair of nondiscretionary factors-imprecise data envelopment analysis models”
Recently, Farzipoor Saen [Journal of the Operational Research Society, 60(11), 1575–1582 (2009)] proposed a method based on data envelopment analysis to identify optimistic efficient suppliers in the presence of nondiscretionary factors-imprecise data. This short communication aims at showing a computational error in computing the value of preference intensity parameter in Farzipoor Saen’s [...
متن کاملSupplier selection by the pair of nondiscretionary factors-imprecise data envelopment analysis models
Discretionary models for evaluating the efficiency of suppliers assume that all criteria are discretionary, i.e., controlled by the management of each supplier and varied at its discretion. These models do not assume supplier selection in the conditions that some factors are nondiscretionary. The objective of this paper is to propose a new pair of Nondiscretionary Factors-Imprecise Data Envelop...
متن کاملa note on “supplier selection by the pair of nondiscretionary factors-imprecise data envelopment analysis models”
recently, farzipoor saen [journal of the operational research society, 60(11), 1575–1582 (2009)] proposed a method based on data envelopment analysis to identify optimistic efficient suppliers in the presence of nondiscretionary factors-imprecise data. this short communication aims at showing a computational error in computing the value of preference intensity parameter in farzipoor saen’s [1] ...
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assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...
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ژورنال
عنوان ژورنال: The International Journal of Advanced Manufacturing Technology
سال: 2008
ISSN: 0268-3768,1433-3015
DOI: 10.1007/s00170-008-1514-5