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Article

Performance Evaluation of Construction Companies Using Integrated Entropy–Fuzzy VIKOR Model

1
Department of Physical and Mathematical Science, Faculty of Science, Kampar Campus, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, Kampar 31900, Malaysia
2
Department of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, UKM, Bangi 43600, Malaysia
*
Authors to whom correspondence should be addressed.
Academic Editor: Angeliki Papana
Entropy 2021, 23(3), 320; https://doi.org/10.3390/e23030320
Received: 22 January 2021 / Revised: 25 February 2021 / Accepted: 26 February 2021 / Published: 8 March 2021
(This article belongs to the Special Issue Information Theory and Economic Network)
The construction sector plays an important role in a country’s economic development. The financial performance of a company is a good indicator of its financial health and status. In Malaysia, the government encourages the construction industry to develop an advanced infrastructure related to health, transport, education and housing. In view of the COVID-19 pandemic, the operations and financial performance of construction sector companies have been affected recently. Additionally, uncertainty plays a vital role in the multi-criteria decision-making (MCDM) process. Based on previous studies, there has been no comprehensive study conducted on the evaluation of the financial performance of construction companies by integrating entropy and fuzzy VIKOR models. Therefore, this paper aims to propose an MCDM model to evaluate and compare the financial performance of construction companies with an integrated entropy–fuzzy VIKOR model. A case study is carried out by evaluating the listed construction companies in Malaysia with the proposed model. The findings of this paper indicate that the company ECONBHD achieves the best financial performance over the study period. The significance of this paper is to determine the priority of the financial ratios and ranking of the construction companies with the proposed entropy–fuzzy VIKOR model. View Full-Text
Keywords: entropy; fuzzy VIKOR; multi-criteria decision making; financial ratio; research framework entropy; fuzzy VIKOR; multi-criteria decision making; financial ratio; research framework
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MDPI and ACS Style

Lam, W.S.; Lam, W.H.; Jaaman, S.H.; Liew, K.F. Performance Evaluation of Construction Companies Using Integrated Entropy–Fuzzy VIKOR Model. Entropy 2021, 23, 320. https://doi.org/10.3390/e23030320

AMA Style

Lam WS, Lam WH, Jaaman SH, Liew KF. Performance Evaluation of Construction Companies Using Integrated Entropy–Fuzzy VIKOR Model. Entropy. 2021; 23(3):320. https://doi.org/10.3390/e23030320

Chicago/Turabian Style

Lam, Weng S., Weng H. Lam, Saiful H. Jaaman, and Kah F. Liew 2021. "Performance Evaluation of Construction Companies Using Integrated Entropy–Fuzzy VIKOR Model" Entropy 23, no. 3: 320. https://doi.org/10.3390/e23030320

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