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نمایش تعداد 1-7 از 7

A global cost Malmquist productivity index using data envelopment analysis

نوع: Journal Paper

نویسنده : G Tohidi; S Razavyan; S Tohidnia

سال: 2011

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Applying inverse DEA and cone constraint to sensitivity analysis of DMUs with undesirable inputs and outputs

نوع: Journal Paper

نویسنده : M. Eyni; G. Tohidi; S. Mehrabeian

سال: 2016

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Undesirable inputs and outputs in DEA models

نوع: Journal Paper

نویسنده : G.R. Jahanshahloo; F. Hosseinzadeh Lotfi; N. Shoja; G. Tohidi; S. Razavyan

سال: 2005

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Ranking using l1-norm in data envelopment analysis

نوع: Journal Paper

نویسنده : G.R. Jahanshahloo; F. Hosseinzadeh Lotfi; N. Shoja; G. Tohidi; S. Razavyan

ناشر: Elsevier Science

سال: 2004

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Sensitivity and stability analysis in DEA

نوع: Journal Paper

نویسنده : G.R. Jahanshahloo; F. Hosseinzadeh; N. Shoja; M. Sanei; G. Tohidi

ناشر: Elsevier Science

سال: 2005

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Input estimation and identification of extra inputs in inverse DEA models

نوع: Journal Paper

نویسنده : G.R Jahanshahloo; F Hosseinzadeh Lotfi; N Shoja; G Tohidi; S Razavyan

سال: 2004

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Sensitivity of efficiency classifications in the inverse DEA models

نوع: Journal Paper

نویسنده : G.R. Jahanshahloo; F. Hosseinzadeh Lotfi; N. Shoja; G. Tohidi; S. Razavyan

سال: 2005

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A global cost Malmquist productivity index using data envelopment analysis

Applying inverse DEA and cone constraint to sensitivity analysis of DMUs with undesirable inputs and outputs

Undesirable inputs and outputs in DEA models

Ranking using l1-norm in data envelopment analysis

Sensitivity and stability analysis in DEA

Input estimation and identification of extra inputs in inverse DEA models

Sensitivity of efficiency classifications in the inverse DEA models

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A global cost Malmquist productivity index using data envelopment analysis

Applying inverse DEA and cone constraint to sensitivity analysis of DMUs with undesirable inputs and outputs

Undesirable inputs and outputs in DEA models

Ranking using l1-norm in data envelopment analysis

Sensitivity and stability analysis in DEA

Input estimation and identification of extra inputs in inverse DEA models

Sensitivity of efficiency classifications in the inverse DEA models