2016
DOI: 10.15244/pjoes/61529
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Assessment of WLC and Fuzzy Logic Methods for Site Selection of Water Reservoirs in Malaysia

Abstract: The purpose of this study is to compare the weighted linear combination (WLC) and fuzzy logic (FL) models in identifying the most suitable location for a water reservoir in the area of Batu Pahat, Johor, Malaysia. First of all, parameters important to a water reservoir for the studied area were identifi ed. Then maps of the study area were prepared and integrated. The main criteria selected for this study are pipe line, elevation, rive, land use, road network, water supply network, and slope. Suitable location… Show more

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Cited by 7 publications
(4 citation statements)
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“…Choosing a water reservoir location suitable for RWH is challenging due to the complex criteria related to hydrological, geological, and economic parameters of a region of interest (Shahabi et al, 2016). The FAO lists six ( 6) key parameters for evaluating soil water conservation sites necessary for RHS (Kahinda et al, 2008).…”
Section: Criteria Selectionmentioning
confidence: 99%
“…Choosing a water reservoir location suitable for RWH is challenging due to the complex criteria related to hydrological, geological, and economic parameters of a region of interest (Shahabi et al, 2016). The FAO lists six ( 6) key parameters for evaluating soil water conservation sites necessary for RHS (Kahinda et al, 2008).…”
Section: Criteria Selectionmentioning
confidence: 99%
“…In the mentioned range of 0-1, a higher value shows greater suitability and a lower one indicates less [41,56,58]. To "fuzzify" the factor maps, it is important to determine the threshold values of the criteria accompanied by the type of fuzzy membership functions [41,59]. The fuzzy membership functions used in this research are named linear (monotonically decreasing and monotonically increasing) and discrete (Table 2).…”
Section: Standardizing Map Layersmentioning
confidence: 99%
“…There is no doubt that the identification of buildings destroyed by the earthquake is associated with a lot of ambiguity and uncertainty (Ranjbar et al 2014a). In this study, fuzzy logic was used to reduce the uncertainty of data and vague human knowledge (Hamedianfar & Shafri 2013;Shahabi et al 2013). In this fuzzy system, after extraction of optimum features for the building in question, the difference calculated by the features from the images before and after the event was considered as input variables of the system.…”
Section: Texture Analysismentioning
confidence: 99%