PCA integrated DEA for hostel assessment of a Higher Education Institution

IF 1.6 Q2 ENGINEERING, MULTIDISCIPLINARY

International Journal of System Assurance Engineering and Management Pub Date : 2024-05-02 DOI:10.1007/s13198-024-02343-6

Ankita Panwar, Millie Pant

引用次数: 0

Abstract

Data envelopment analysis (DEA) is a well-known multi-criteria decision-making technique which is used to measure the relative efficiency of decision-making units (DMUs). However, in the case of classical DEA, the discriminatory power is often weak particularly when the number of input and output variables are high. In the paper, combine analytic hierarchy process-principal component analysis, is applied to identify the most relevant criteria thereby reducing the number of criteria and increasing the discriminatory power of DEA. Further, in this study, super-efficiency-data envelopment analysis is applied to determine the efficiency of DMUs. The feasibility of the proposed process is illustrated for a real-world multi-criteria decision-making problem based on the hostel management system for the higher education institute and assesses the performance of the decision-making units.

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PCA 集成 DEA 用于高等院校宿舍评估

数据包络分析（DEA）是一种著名的多标准决策技术，用于衡量决策单元（DMU）的相对效率。然而，就经典的 DEA 而言，其判别能力往往较弱，尤其是当输入和输出变量数量较多时。本文采用层次分析法--主成分分析法来确定最相关的标准，从而减少标准数量，提高 DEA 的判别能力。此外，本研究还采用了超效率-数据包络分析法来确定 DMU 的效率。在一个基于高等院校宿舍管理系统的真实世界多标准决策问题中，说明了所提议流程的可行性，并评估了决策单位的绩效。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of System Assurance Engineering and Management ENGINEERING, MULTIDISCIPLINARY-

CiteScore

4.30

自引率

10.00%

发文量

252

期刊介绍： This Journal is established with a view to cater to increased awareness for high quality research in the seamless integration of heterogeneous technologies to formulate bankable solutions to the emergent complex engineering problems. Assurance engineering could be thought of as relating to the provision of higher confidence in the reliable and secure implementation of a system’s critical characteristic features through the espousal of a holistic approach by using a wide variety of cross disciplinary tools and techniques. Successful realization of sustainable and dependable products, systems and services involves an extensive adoption of Reliability, Quality, Safety and Risk related procedures for achieving high assurancelevels of performance; also pivotal are the management issues related to risk and uncertainty that govern the practical constraints encountered in their deployment. It is our intention to provide a platform for the modeling and analysis of large engineering systems, among the other aforementioned allied goals of systems assurance engineering, leading to the enforcement of performance enhancement measures. Achieving a fine balance between theory and practice is the primary focus. The Journal only publishes high quality papers that have passed the rigorous peer review procedure of an archival scientific Journal. The aim is an increasing number of submissions, wide circulation and a high impact factor.