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Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues

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  • Edmundas Kazimieras Zavadskas
  • Kannan Govindan
  • Jurgita Antucheviciene
  • Zenonas Turskis

Abstract

Formal decision-making methods can be used to help improve the overall sustainability of industries and organisations. Recently, there has been a great proliferation of works aggregating sustainability criteria by using diverse multiple criteria decision-making (MCDM) techniques. A number of review papers summarising these techniques have been published. During the past few years, new approaches for hybrid MCDM (HMCDM) methods have been developed, but they have not yet been completely reviewed. This article aims to fill this gap and to summarise publications related to the application of HMCDM. The current study is limited solely to papers available in the Thomson Reuters Web of Science Core Collection database. The main findings report that HMCDM methods have been increasingly applied for supporting decisions in different domains of sustainability. The most frequently used methods emphasise the advantages of hybrid approaches over individual methods, and we conclude that they can assist decision-makers in handling information such as stakeholders’ preferences, interconnected or contradictory criteria, and uncertain environments. The main contribution of this work is identifying hybrid approaches as improvements for decision-making related to sustainability issues, while also promoting future application of the approaches.

Suggested Citation

  • Edmundas Kazimieras Zavadskas & Kannan Govindan & Jurgita Antucheviciene & Zenonas Turskis, 2016. "Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 29(1), pages 857-887, January.
    • Handle: RePEc:taf:reroxx:v:29:y:2016:i:1:p:857-887
    DOI: 10.1080/1331677X.2016.1237302
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    Cited by:

    1. Kalyana C. Chejarla & Omkarprasad S. Vaidya, 2024. "A hybrid multi-criteria decision-making approach for longitudinal data," OPSEARCH, Springer;Operational Research Society of India, vol. 61(3), pages 1013-1060, September.
    2. Guangzhong Hu & Yuming Liu & Kai Liu & Xiaoxu Yang, 2023. "Research on Data-Driven Dynamic Decision-Making Mechanism of Mega Infrastructure Project Construction," Sustainability, MDPI, vol. 15(12), pages 1-25, June.
    3. Andrzej Pacana & Dominika Siwiec & Jacek Pacana, 2023. "Fuzzy Method to Improve Products and Processes Considering the Approach of Sustainable Development (FQE-SD Method)," Sustainability, MDPI, vol. 15(13), pages 1-22, June.
    4. Xiangqian Feng & Eryang Li & Jian Li & Cuiping Wei, 2024. "Critical influencing factors of employees’ green behavior: three-stage hybrid fuzzy DEMATEL–ISM–MICMAC approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 17783-17811, July.

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