An overview of data envelopment analysis models in fuzzy stochastic environments

Journal Title: Journal of Fuzzy Extension & Applications - Year 2020, Vol 1, Issue 4

Abstract

One of the appropriate and efficient tools in the field of productivity measurement and evaluation is data envelopment analysis, which is used as a non-parametric method to calculate the efficiency of decision-making units. Today, the use of data envelopment analysis technique is expanding rapidly and is used in the evaluation of various organizations and industries such as banks, postal service, hospitals, training centers, power plants, refineries, etc.In real-world problems, the values observed from input and output data are often ambiguous and random. To solve this problem, data envelopment analysis in stochastic fuzzy environment was proposed. Although the DEA has many advantages, one of the disadvantages of this method is that the classic DEA does not actually give us a definitive conclusion and does not allow random changes in input and output. In this paper, we review some of the proposed models in data envelopment analysis with fuzzy and random inputs and outputs.

Authors and Affiliations

Fatemeh Zahra Montazeri

Keywords

Related Articles

Precise services and supply chain prioritization in manufacturing companies using cost analysis provided in a fuzzy environment

In recent years, management and, consequently, supply chain performance measurement, has attracted the attention of a large number of managers and researchers in the field of production and operations management. In para...

Application of transportation problem under pentagonal Neutrosophic environment

The paper talks about the pentagonal Neutrosophic sets and its operational law. The paper presents the cut of single valued pentagonal Neutrosophic numbers and additionally introduced the arithmetic operation of single-v...

Neutrosophication of statistical data in a study to assess the knowledge, attitude and symptoms on reproductive tract infection among women

Statistics mainly concerned with data that may be qualitative or quantitative. Earlier we have used the notion of statistics in the classical sense where we assign values that are crisp. But in reality, we find some area...

Analyzing the barriers of organizational transformation by using fuzzy SWARA

The crucial role of bureaucracy in the economic, political, socio-cultural and political structures, and its impact in achieving the goals of organization is so important that in order to achieve the development, change...

Assessment and linear programming under fuzzy conditions

The present work focuses on two directions. First, a new fuzzy method using triangular / trapezoidal fuzzy numbers as tools is developed for evaluating a group’s mean performance, when qualitative grades instead of numer...

Download PDF file
  • EP ID EP692663
  • DOI 10.22105/JFEA.2020.258330.1030
  • Views 94
  • Downloads 0

How To Cite

Fatemeh Zahra Montazeri (2020). An overview of data envelopment analysis models in fuzzy stochastic environments. Journal of Fuzzy Extension & Applications, 1(4), -. https://europub.co.uk/articles/-A-692663