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Synthetic Evaluation of Multi-Criteria Decision-Making Algorithms in Energy-Efficient Buildings

Author

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  • Abobakr Al-Sakkaf

    (Concordia University, Canada)

  • Moaaz Elkabalawy

    (Concordia University, Canada)

  • Eslam Mohammed Abdelkader

    (Department of Building and Real Estate, Faculty of Construction and Environment, The Hong Kong Polytechnic University, Hung Hom, Hong Kong)

Abstract

Multi-criteria decision making (MCDM) on energy-efficient buildings has become essential in both the industry and academia as construction projects grow increasingly complex. With a prime goal of increasing its effectiveness, MCDM research has witnessed tremendous growth over the past three decades. Despite the necessity to monitor the research growth of a research topic to identify its trends and gaps, and hence shed light on research areas that warrant future research attention, there is a lack of systematic literature analysis in MCDM area. To fill this gap, this paper recruited a mixed-review method of scientometric and systematic reviews of 56 research papers on seven selected popular MCDM techniques published from 2010 to March 2021. The scientometric review identified the most prolific journals, keyword correlations, and geospatial connections between research countries in the MCDM area. On the other hand, the systematic review analysis showed that there are five main research topics in MCDM. Furthermore, the major approaches applied in MCDM research were investigated.

Suggested Citation

  • Abobakr Al-Sakkaf & Moaaz Elkabalawy & Eslam Mohammed Abdelkader, 2022. "Synthetic Evaluation of Multi-Criteria Decision-Making Algorithms in Energy-Efficient Buildings," International Journal of Strategic Decision Sciences (IJSDS), IGI Global, vol. 13(1), pages 1-13, January.
    • Handle: RePEc:igg:jsds00:v:13:y:2022:i:1:p:1-13
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