Neutrosophic Data Envelopment Analysis: a Comprehensive Review and Current Trends

Authors

  • Kshitish Kumar Mohanta Department of Mathematics, Indira Gandhi National Tribal University, Amarkantak, 484887, Madhya Pradesh, India
  • Deena Sunil Sharanappa Department of Mathematics, Indira Gandhi National Tribal University, Amarkantak, 484887, Madhya Pradesh, India

https://doi.org/10.22105/opt.v1i1.19

Abstract

The concept of a neutrosophic set is a comprehensive extension of both fuzzy sets and Intuitionistic Fuzzy Sets (IFSs). It allows decision makers to assign three distinct membership degrees, enabling a more precise representation of uncertainty. Neutrosophic Data Envelopment Analysis (Neu-DEA) is an extended version of the Data Envelopment Analysis (DEA) and Fuzzy DEA (FDEA) concepts. It aims to assess the performance of Decision Making Units (DMUs) within a neutrosophic environment. Neu-DEA specifically tackles the challenges associated with evaluating performance when the input and output data are incomplete, ambiguous, or unsure. As a result, the Neu-DEAs have attracted substantial attention from scholars and academics. This article aims to provide an academic overview of the present state, development patterns, and future research directions of the Neu-DEA research. To do this, the study examines relevant publications using two analytical approaches: description analysis and literature review.

Keywords:

Neutrosophic data envelopment anal, data envelopment analysis, Performance analysis, Efficiency analysis, Neutrosophic number

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2024-01-07

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Vol. 1 No. 1 (2024): OPT

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How to Cite

Kumar Mohanta, K. ., & Sharanappa, D. S. . (2024). Neutrosophic Data Envelopment Analysis: a Comprehensive Review and Current Trends. Optimality, 1(1), 10-22. https://doi.org/10.22105/opt.v1i1.19

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