Use of a Combination of MRSS-ANP for Making an Innovative Landfill Siting Decision Model

Mohammad K. Younes, Noor Ezlin Ahmad Basri, Zulkifli Mohd Nopiah, Hassan Basri, Mohammed F M Abushammala

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Landfill siting is a complex, multicriteria decision-making problem that needs an extensive evaluation of environmental, social, land use, and operational criteria. Integration of a median ranked sample set (MRSS) and an analytic network process (ANP) has been implemented to rank the associated criteria and select a suitable landfill site. It minimizes the uncertainty and the subjectivity of human judgments. Four groups of experts with different backgrounds participated in this study, and each group contained four experts. The respondent preferences were ranked in a 4-by-4 matrix to obtain the judgment sets for the MRSS. These sets were subsequently analyzed using ANP to obtain the priorities in the landfill siting criteria. The results show that land topology and distance from surface water are the most influential factors, with priorities of 0.18 and 0.17, respectively. The proposed integrated model may become a promising tool for the environmental planners and decision makers.

Original languageEnglish
Article number381926
JournalMathematical Problems in Engineering
Volume2015
DOIs
Publication statusPublished - 2015

Fingerprint

Analytic Network Process
Ranked Set Sample
Decision Model
Land fill
Multicriteria Decision-making
Land Use
Integrated Model
Surface waters
Land use
Decision making
Topology
Minimise
Water
Uncertainty
Evaluation
Judgment

ASJC Scopus subject areas

  • Mathematics(all)
  • Engineering(all)

Cite this

Use of a Combination of MRSS-ANP for Making an Innovative Landfill Siting Decision Model. / Younes, Mohammad K.; Ahmad Basri, Noor Ezlin; Mohd Nopiah, Zulkifli; Basri, Hassan; Abushammala, Mohammed F M.

In: Mathematical Problems in Engineering, Vol. 2015, 381926, 2015.

Research output: Contribution to journalArticle

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