Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region.

By Ni-Bin Chang, G. Parvathinathan, J. B. Breeden. Journal of Environmental Management, 2008

687 citations recorded by the source corpus.

Subfields: Building and Construction, Industrial and Manufacturing Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/cb7201a1e40333798c6f978f7ec058ea0c678511

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Citations in the corpus

Metrics for optimising the multi-dimensional value of resources recovered from waste in a circular economy: A critical review (2017, methodology): “In a number of other studies (Chalkias and Lasaridi, 2009; Chang et al., 2008), geographical information system (GIS) modelling was used in conjunction with environmental, biophysical, ecological, and socio-economic variables to provide an advanced modelling framework for decision-makers to…”
A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping (2014, methodology): “GIS-based MCDA can be used together with fuzzy set theory to model imprecise objectives in a variety of research areas (Chang et al., 2008; Yonca Aydin et al., 2013), especially for landslide susceptibility mapping purposes (Akgun et al., 2012; Shadman et al., 2013).”
Solid waste management in European countries: a review of systems analysis techniques. (2011, methodology): “A Geographical Information System (GIS) combined with LCI, EIA and optimization model has been promoted by Chang et al. (2008, 2009) for landfill siting Deutschland (DSD) (or Green Dot system) that was firstly applied in Germany in the 1990s and later on all over Europe (Buclet, 2002).”
Comparison of Fuzzy-AHP and AHP in a spatial multi-criteria decision making model for urban land-use planning (2015, methodology): “The popular AHP-based land-use suitability analyses have been criticized for their need for exact numerical values to express the strength of stakeholders’ preferences (Chang et al., 2008; Deng, 1999; Kordi & Brandt, 2012; Mikhailov, 2003; Mosadeghi, Warnken, Tomlinson, & Mirfenderesk, 2013; Wang & ”
Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops (2018, background): “Practical applications of such spatial MCDM techniques have become more widespread in land suitability studies (Chang et al., 2008; Chen et al., 2010; Greene et al., 2010; Arciniegas et al., 2011; Kordi and Brandt, 2012; Elaalem, 2012; Akinci et al., 2013).”
Review on multi-criteria decision analysis aid in sustainable energy decision-making (2009, methodology): “The MCDA methods have been widely applied to social, economic, agricultural, industrial, ecological and biological systems in addition to energy systems [20–27].”