Evaluating the Efficiency of Water and Wastewater Companies under Uncertainty by Using Interval Fuzzy Data Envelopment Approach (Case Study: Markazi Province)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

FATHI B.; OHADI N.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: WATER AND WASTEWATER Year:2021 | Volume:32 | Issue:3 Page(s): 82-93

Download Full-Text

Persian Verion

View:

171

Download:

Cites:

Information Journal Paper

Title

Evaluating the Efficiency of Water and Wastewater Companies under Uncertainty by Using Interval Fuzzy Data Envelopment Approach (Case Study: Markazi Province)

Author(s)

FATHI B. | OHADI N. | Issue Writer Certificate

Keywords

Markazi Province

Interval Fuzzy Data Envelopment Analysis

Imprecise Data

Water and Wastewater Companies

Abstract

Water and Wastewater Companies play a vital role in society as providers of drinking water services. Therefore, measuring the efficiency of these companies is an action that can help in the optimal allocation of water distribution among customers. Therefore, the present study was conducted to evaluate the efficiency of water and sewage companies in Markazi Province. For this purpose, the Interval Fuzzy Data Envelopment Analysis method was used. The basic premise of this method, unlike the traditional method of data envelopment analysis, is uncertainty about inputs and outputs. Given that uncertainties in the real world are inevitable, the need to use models that have the ability to control this uncertainty is strongly felt. Hence, a successful method is to use fuzzy data envelopment analysis method. The results of evaluation related to seventeen Water and Wastewater Companies in Markazi Province showed that Arak, Khomein, Delijan, Saveh, Komeijan, Mamooniyeh, Mahallat and Naragh by obtaining the efficiency range (0. 83, 1), have the highest level of technical efficiency. In addition, among the units under study, Ghargabad Water and Wastewater Company has the lowest level of technical efficiency with an efficiency range of (0. 56, 0. 46). There is also an excess of consumption over the research findings in the use of all inputs. Therefore, it was suggested that with the correct and optimal use of production inputs and less use of resources, the amount of efficiency can be improved to reach the efficiency frontier.

Cites

No record.

References

No record.

Cite

APA: Copy

FATHI, B., & OHADI, N.. (2021). Evaluating the Efficiency of Water and Wastewater Companies under Uncertainty by Using Interval Fuzzy Data Envelopment Approach (Case Study: Markazi Province). WATER AND WASTEWATER, 32(3 ), 82-93. SID. https://sid.ir/paper/953521/en

Vancouver: Copy

FATHI B., OHADI N.. Evaluating the Efficiency of Water and Wastewater Companies under Uncertainty by Using Interval Fuzzy Data Envelopment Approach (Case Study: Markazi Province). WATER AND WASTEWATER[Internet]. 2021;32(3 ):82-93. Available from: https://sid.ir/paper/953521/en

IEEE: Copy

B. FATHI, and N. OHADI, “Evaluating the Efficiency of Water and Wastewater Companies under Uncertainty by Using Interval Fuzzy Data Envelopment Approach (Case Study: Markazi Province),” WATER AND WASTEWATER, vol. 32, no. 3 , pp. 82–93, 2021, [Online]. Available: https://sid.ir/paper/953521/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops