A compositional approach to two-stage Data Envelopment Analysis in intuitionistic fuzzy environment

• Autorzy: Javaherian Nafiseh , Hamzehee Ali , Tooranloo Hossein Sayyadi

Identyfikatory

DOI

10.37190/ord210102

• Języki publikacji: EN

Abstrakty

EN

Classical methods of data envelopment analysis operate by measuring the efficiency of decision- -making units (DMUs) compared to similar units, without taking their internal structure into account. However, some DMUs consist of two stages, with the first stage producing an intermediate product, which is then consumed in the second stage to produce the final output. The efficiency of this type of DMU is often measured using two-stage network data envelopment analysis. In real world, most data are vague. Therefore, the inputs and outputs of systems with vagueness data create uncertainty challenges for DMUs. As a result, when uncertainty appears, intuitionistic fuzzy sets can show more information than classical fuzzy sets. This paper presents a model of two-stage Network Data Envelopment Analysis based on intuitionistic fuzzy data, which measures the efficiency of the first and second stages of each DMU, and the overall efficiency measures based on the stage efficiencies.

Słowa kluczowe

EN

data envelopment analysis; intuitionistic fuzzy; two-stage DEA; triangular numbers

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Operations Research and Decisions
• Rocznik: 2021
• Tom: Vol. 31, No. 1
• Strony: 21--39
• Opis fizyczny: Bibliogr. 54 poz., tab.

Twórcy

autor

Javaherian Nafiseh

• Department of Applied Mathematics, Kerman Branch, Islamic Azad University, Kerman, Iran

autor

Hamzehee Ali

• Department of Applied Mathematics, Kerman Branch, Islamic Azad University, Kerman, Iran

autor

Tooranloo Hossein Sayyadi

• Department of Management, Meybod University, Meybod, Iran

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).