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- Adel Hatami-Marbini, Ali Emrouznejad, Madjid Tavana
- European Journal of Operational Research
- 2011

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs. Crisp input and output data are fundamentally indispensable in conventional DEA. However, the observed values of the input and output data in real-world problems are sometimes… (More)

Many real-world decision problems involve conflicting systems of criteria, uncertainty and imprecise information. Some also involve a group of decision makers (DMs) where a reduction of different criteria decisions by making the process more explicit, rational and efficient. One family of MCDA models uses what is known as ‘‘outranking relations’’ to rank a… (More)

- Madjid Tavana, Adel Hatami-Marbini
- Expert Syst. Appl.
- 2011

0957-4174/$ see front matter 2011 Elsevier Ltd. A doi:10.1016/j.eswa.2011.04.108 ⇑ Corresponding author. Tel.: +1 215 951 1129; fax E-mail addresses: tavana@lasalle.edu (M. Tavana) vain.be, adel_hatami@yahoo.com (A. Hatami-Marbini URL: http://lasalle.edu/~tavana (M. Tavana). 1 Tel.: +32 486 707387; fax: +32 10 47 4301. Human spaceflight mission planning is… (More)

- Adel Hatami-Marbini, Saber Saati, Madjid Tavana
- Appl. Soft Comput.
- 2010

Data envelopment analysis (DEA) is a widely used mathematical programming approach for evaluating the relative efficiency of decision making units (DMUs) in organizations. Crisp input and output data are fundamentally indispensable in traditional DEA evaluation process. However, the input and output data in real-world problems are often imprecise or… (More)

- Adel Hatami-Marbini, Madjid Tavana, Alireza Ebrahimi
- IJIDS
- 2011

Abstract: In the conventional data envelopment analysis (DEA), all the data assumes the form of crisp numerical values. However, the observed values of the input and output data in real-world problems are sometimes imprecise or vague. Some researchers have proposed various fuzzy methods for dealing with the imprecise and ambiguous data in DEA by… (More)

An important property of production functions is the concept return to scale (RTS) as found in the literature. There are two common variations RTS in data envelopment analysis (DEA) used, constant return to scale (CRS) and variation return to scale (VRS). The envelopment surface in BCC model is VRS and this is the result of the presence of the convexity… (More)

- Amir H. Shokouhi, Adel Hatami-Marbini, Madjid Tavana, Saber Saati
- Computers & Industrial Engineering
- 2010

Department of Industrial Engineering, Khajeh Nasir Toosi University, Tehran, Iran b Louvain School of Management, Center of Operations Research and Econometrics (CORE), Universite Catholique de Louvain, 34 Voie du Roman Pays, B-1348 Louvain-le-Neuve, Belgium Management Department, Lindback Distinguished Chair of Information Systems, La Salle University,… (More)

- F. Hosseinzadeh Lotfi, Adel Hatami-Marbini, Per J. Agrell, Nazila Aghayi, Kobra Gholami
- Computers & Industrial Engineering
- 2013

Data envelopment analysis (DEA) is a data-driven non-parametric approach for measuring the efficiency of a set of decision making units (DMUs) using multiple inputs to generate multiple outputs. Conventionally, DEA is used in ex post evaluation of actual performance, estimating an empirical best-practice frontier using minimal assumptions about the shape of… (More)

- Madjid Tavana, Rashed Khanjani Shiraz, Adel Hatami-Marbini, Per J. Agrell, Khalil Paryab
- Expert Syst. Appl.
- 2012

Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of decision-making units (DMUs) on the basis of multiple inputs and outputs. Conventional DEA models assume that inputs and outputs are measured by exact values on a ratio scale. However, the observed values of the input and output data in real-world problems… (More)

- Adel Hatami-Marbini, Saber Saati, Madjid Tavana
- IJORIS
- 2011

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs. In the conventional DEA, all the data assume the form of specific numerical values. However, the observed values of the input and output data in real-life problems are… (More)