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- 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)

- Mehdi Toloo, Nazila Aghayi, Mohsen Rostamy-Malkhalifeh
- Applied Mathematics and Computation
- 2008

- Ali Emrouznejad, Mohsen Rostamy-Malkhalifeh, Adel Hatami-Marbini, Madjid Tavana, Nazila Aghayi
- Mathematical and Computer Modelling
- 2011

Although crisp data are fundamentally indispensable for determining the profit Malmquist productivity index (MPI), the observed values in real-world problems are often imprecise or vague. These imprecise or vague data can be suitably characterized with fuzzy and interval methods. In this paper, we reformulate the conventional profit MPI problem as an… (More)

- J. Saffar Ardabili, N. Aghayi
- 2009

In this paper, we describe a new method for finding search directions for interior point methods (IPMs) in linear optimization (LO). The theoretical complexity of the new algorithms are calculated and we prove that the iteration bound is O(log(n//)) in this case too.

- Nazila Aghayi, Samira Salehpour
- IJMTIE
- 2015

- Nazila Aghayi
- Journal of Intelligent and Fuzzy Systems
- 2017

Data Envelopment Analysis (DEA) is a technique for measuring the efficiency of a set of Decision Making Units (DMUs) with common data, but in general it is not practical. This paper presents a framework where DEA is used to measure overall profit efficiency with fuzzy data. Specifically, it is shown that as the inputs, outputs and price vectors are fuzzy… (More)

- N. Aghayi
- 2015

The conventional Data Envelopment Analysis (DEA) model considers Decision Making Units (DMUs) as a black box, meaning that these models do not consider the connection and the inner structures of DMUs. Moreover, these models consider that the activities of DMUs in each time are independent of other times, but in the real world, the inner structures of DMUs… (More)

- Nazila Aghayi
- 2016 7th International Conference on Intelligent…
- 2016

Most DEA models were initially considered only for crisp desirable inputs and outputs, but in the real world data have imprecise value, fuzzy concept is too important as imprecise and undesirable data. Moreover, the decision making units may have been some inputs and outputs index such undesirable data. Therefore, in this study, we introduce a method to… (More)

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