Comparative analysis of MCDM methods for the assessment of sustainable housing affordability

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Mulliner, Emma, Malys, Naglis and Maliene, Vida (2016) Comparative analysis of MCDM methods for the assessment of sustainable housing affordability. Omega, 59 (Part B). pp. 146-156. ISSN 0305-0483

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Abstract

While affordability is traditionally assessed in economic terms, this paper tests a new assessment method that draws closer links with sustainability by considering economic, social and environmental criteria that impact on a household’s quality of life. The paper presents an empirical application and comparison of six different multiple criteria decision making (MCDM) approaches for the purpose of assessing sustainable housing affordability.

The comparative performance of the weighted product model (WPM), the weighted sum model (WSM), the revised AHP, TOPSIS and COPRAS, is investigated. The purpose of the comparative analysis is to determine how different MCDM methods compare when used for a sustainable housing affordability assessment model. 20 Evaluative criteria and 10 alternative are as in Liverpool, England, were considered. The applicability of different MCDM methods for the focused decision problem was investigated. The paper discusses the similarities in MCDM methods, evaluates their robustness and contrasts the resulting rankings.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/977927
Keywords: WPM, WSM, AHP, TOPSIS, COPRAS, Decision making, Housing affordability, Multiple criteria, MCDM, Sensitivity analysis, Sustainability
Schools/Departments: University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Life Sciences > School of Biomedical Sciences
University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Life Sciences
Identification Number: https://doi.org/10.1016/j.omega.2015.05.013
Depositing User: Malys, Naglis
Date Deposited: 06 Jul 2016 09:00
Last Modified: 04 May 2020 20:03
URI: https://eprints.nottingham.ac.uk/id/eprint/34655

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