Computational and theoretical pitfalls in some current performance measurement techniques; and a new approach

Soleimani-damaneh, Majid; Jahanshahloo, G. R.; Abbasbandy, Saeid

doi:10.1016/j.amc.2006.01.085

Cited by 58 publications

(34 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here we will confine the The α-level approach is possibly the most popular, given the numerous papers produced using its variations, despite the fact that their models are not computationally efficient. This is so because α-level models demand more linear programs to be solved for each α value (Soleimani-damaneh et al 2006). Within the α-level approach, the FDEA model is first converted into a pair of parametric programs so that the lower and upper bounds of the efficiency scores can be computed next for a given value of α (Emrouznejad and Tavana, 2014).…”

Section: Fuzzy Deamentioning

confidence: 99%

Assessing productive efficiency of banks using integrated Fuzzy-DEA and bootstrapping: A case of Mozambican banks

Wänke

Barros²,

Emrouznejad

2016

European Journal of Operational Research

138

View full text Add to dashboard Cite

Section: Fuzzy Deamentioning

confidence: 99%

Assessing productive efficiency of banks using integrated Fuzzy-DEA and bootstrapping: A case of Mozambican banks

Wänke

Barros²,

Emrouznejad

2016

European Journal of Operational Research

138

View full text Add to dashboard Cite

“…This was expanded by Saati et al (2002) in which all decision maker units can be evaluated by using the weight of the public following an α level. Soleimani et al (2006) cleared some bugs of the fuzzy DEA and computer theory, and presented a fuzzy DEA model to obtain the final performance of the fuzzy input and output units. Also Soleimani et al (2006) developed a measurement on some DEA models for the fuzzy concept.…”

Section: Fuzzy Deamentioning

confidence: 99%

“…Soleimani et al (2006) cleared some bugs of the fuzzy DEA and computer theory, and presented a fuzzy DEA model to obtain the final performance of the fuzzy input and output units. Also Soleimani et al (2006) developed a measurement on some DEA models for the fuzzy concept. The non-linear DEA model had two objectives for the decision maker units with fuzzy input and output data.…”

Section: Fuzzy Deamentioning

confidence: 99%

A two level DEA in project based organizations

Hedayat¹,

Bagherpour²

2012

MSL

View full text Add to dashboard Cite

This paper presents a systematic approach for evaluating the performance of a project based organization using a two-level fuzzy data envelopment analysis (DEA) technique in project based organizations. In order to determine the required inputs and outputs, important indicators are selected using both expert judgments and statistical analysis and a two-level DEA model is adapted. In this model, by considering different inputs and outputs through a hierarchical process, a large number of sub indicators are provided and rolled up to a higher level. Since inputs and outputs are combinations of qualitative and quantitative indicators, fuzzy logic is also included through the modeling procedure. In addition, since the exact amount cannot be attributed to the indicators, the proposed model uses interval values for the project life cycle. Finally, some of the projects are evaluated throughout the approach proposed in this paper.

show abstract

“…Suppose that X is a crisp set andÃ : ConsideringÃ,B as fuzzy numbers, along the lines of [13], we consider the following weighted signed distance: 4) and along the lines of [13] we define a ranking system on the set of fuzzy number, F(R), as:…”

Section: Fuzzy Numbersmentioning

confidence: 99%

“…Some authors point out this matter, considering the natural uncertainty inherent to some production processes. One can find several fuzzy mathematical programming-based approaches to evaluate DMUs in the DEA literature, see e.g, [5,6,7,8,9,10,11,12,13,14]. This paper provides a theoretical discussion about some fuzzy dynamic DEA models, through establishing some theoretical results.…”

Section: Introductionmentioning

confidence: 99%