Modeling landfill site selection using an integrated fuzzy MCDM approach

Abstract

Landfill site selection is a complex process, which requires the evaluation of multiple criteria. Decision-makers often face difficulties in taking the right decision in a multiple attribute environment. In this paper, an integrated fuzzy-analytical hierarchy process (AHP)-the technique for order preference by similarity to ideal solution (TOPSIS)-based methodology was applied to the municipal solid waste (MSW) landfill site selection problem. To demonstrate the approach taken, a real case of Mumbai city is taken. The model was developed to suit the socioeconomic and regulatory setup. The fuzzy-analytic hierarchy process was used to make pairwise comparisons of criteria to assign weights and rank them, while F-TOPSIS was employed to rank the alternatives. It was found that the fuzzy-AHP-TOPSIS-based methodology can be a powerful guiding tool for MSW management planners. With this modeling approach, the accuracy of landfill site selection procedure can be significantly enhanced as compared to the traditional methods, thereby reducing the cost and time required. The developed methodology helps in representing and analyzing the uncertainty and error in the decision making process of landfill site selection.

Modeling the environmental susceptibility of landfill sites in California

“…Step 1: selection of environmental decision criteria 100 In this study, the environmental factors and indicators selected were based on the literature that takes into account the environmental impact susceptibility associated with landfill sites (Leão, Bishop, and Evans 2004;Butt, Lockley, and Oduyemi 2008;Eskandari, Homaee, and Mahmodi 2012;Gbanie et al 2013;Butt et al 2014;Khan and Samadder 2015;Maanifar and Fataei 2015;Motlagh and Sayadi 2015;Eskandari et al 2015; 105 Bahrani et al 2016;Chabuk et al 2016;Chonattu, Prabhakar, and Harikumar 2016b;Demesouka, Vavatsikos, and Anagnostopoulos 2016;Chonattu, Prabhakar, and Harikumar 2016b AQ6 ; Kharat et al 2016;Eskandari, Homaee, and Falamaki 2016;Yıldırım and Güler 2016;Zhang et al 2016). In addition, existing guidelines, relevant legislation and regulations, experts' opinions obtained in informal meetings, and available relevant 110 data were considered in the development of the EISM.…”

“…In addition, landfills should not be located in areas susceptible to stream erosion or landslides. Many previous studies have taken topographical aspects into consideration (Gbanie et al 2013;Khan and Samadder 2015;Kharat et al 2016;Zhang et al 2016). In particular, we used the 150 geomorphological environmental indicators of (i) landslide risk and (ii) slope.…”

“…Climatic conditions significantly influence the SW decomposition and degradation process, which control the generation of the two main by-products of SW landfilling which are leachate and gas (Tchobanoglous, Theisen, and Vigil 1993;Yesiller, Hanson, and Liu 2005). Climatic aspects were also considered in previous investigations (Maanifar and 170 Fataei 2015;Chonattu, Prabhakar, and Harikumar 2016b AQ7 ; Eskandari, Homaee, and Falamaki 2016;Kharat et al 2016). In this study, we used the most significant climatic environmental indicators of (i) precipitation and (ii) temperature.…”

“…The AHP was developed by Saaty in the 1970s and consists of an assessment theory through pairwise comparison to help decision makers set priorities and choose the best decision (Kharat et al 2016). The AHP in combination with GIS has been widely used in the field of natural resources and environmental management (Jothibasu 225 and Anbazhagan 2016), first because it is easy to implement using map algebra operations and cartographic models, and second because the approaches are intuitively appealing to decision makers (Malczewski 2006).…”

Disposal Site Selection Using TOPSIS in Wonogiri District Central Java

“…Various approaches to decision making have been made by some previous researchers. Some use fuzzy method approach, such as the application of fuzzy inference (Ariasih, et al 2015), modified fuzzy utility (Singh & Dubey, 2012), fuzzy multi objective linear programming (Shaw, et al, 2012), and integrated fuzzy approach (Kharat, et al, 2016). Other approaches used is the analytical hierarchy process (Boskovic & Jovicic, 2015) and VIKOR (Opricovic & Tzeng, 2004;Liu, et al, 2014).…”