Evaluating Life Cycle of Buildings Using an Integrated Approach Based on Quantitative-Qualitative and Simplified Best-Worst Methods (QQM-SBWM)
| Autor: | Arturas Kaklauskas, Mehdi Keshavarz-Ghorabaee, Edmundas Kazimieras Zavadskas, Mohammad Ghahremanloo, Mohammad Hashemi-Tabatabaei, Maghsoud Amiri |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
020209 energy life cycle of buildings Geography Planning and Development TJ807-830 02 engineering and technology Management Monitoring Policy and Law pairwise comparisons TD194-195 Renewable energy sources Robustness (computer science) multi-criteria decision-making (MCDM) 0202 electrical engineering electronic engineering information engineering Building life cycle GE1-350 simplified BWM Sensitivity (control systems) Environmental effects of industries and plants Mathematical model Renewable Energy Sustainability and the Environment Integrated approach best-worst method (BWM) quantitative-qualitative method (QQM) Weighting Reliability engineering Environmental sciences Ranking 020201 artificial intelligence & image processing Pairwise comparison |
| Zdroj: | Sustainability Volume 13 Issue 8 Sustainability, Vol 13, Iss 4487, p 4487 (2021) |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su13084487 |
| Popis: | Evaluating the life cycle of buildings is a valuable tool for assessing sustainability and analyzing environmental consequences throughout the construction operations of buildings. In this study, in order to determine the importance of building life cycle evaluation indicators, a new combination method was used based on a quantitative-qualitative method (QQM) and a simplified best-worst method (SBWM). The SBWM method was used because it simplifies BWM calculations and does not require solving complex mathematical models. Reducing the time required to perform calculations and eliminating the need for complicated computer software are among the advantages of the proposed method. The QQM method has also been used due to its ability to evaluate quantitative and qualitative criteria simultaneously. The feasibility and applicability of the SBWM were examined using three numerical examples and a case study, and the results were evaluated. The results of the case study showed that the criteria of the estimated cost, comfort level, and basic floor area were, in order, the most important criteria among the others. The results of the numerical examples and the case study showed that the proposed method had a lower total deviation (TD) compared to the basic BWM. Sensitivity analysis results also confirmed that the proposed approach has a high degree of robustness for ranking and weighting criteria. |
| Databáze: | OpenAIRE |
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