Comparative analysis of fuzzy multi-criteria decision-making methods in maintenance prioritisation of infrastructure assets

The maintenance prioritisation of infrastructure assets is conventionally evaluated by calculating the risk an asset can pose to the owner organisation in terms of agreed criteria. Multi-criteria decision-making (MCDM) methods are utilised to prioritise asset maintenance. Using fuzzy theory, which is developed to deal with vagueness in human thinking, is believed to release more accurate criteria weights and consequently alternative performance values in a qualitative multi-criteria decision-making evaluation. This paper presents an empirical application and comparison of four compensatory MCDM methods including technique for order of preference by similarity to ideal solution (TOPSIS), complex proportional assessment (COPRAS), weighted sum model (WSM), and weighted product model (WPM) in a fuzzy environment to prioritise irrigation asset maintenance. Analytical hierarchy process (AHP) method is used, also in a fuzzy environment, to obtain the criteria weights. Seven evaluation criteria and six irrigation channels from different areas in Northern Victoria, Australia, are considered as the case study data. Results of the MCDM methods are analysed and their reliability, simplicity, and applicability with pros and cons are evaluated. Finally, the most straightforward and at the same time reliable method for similar practical applications is suggested.