A decision support system using analytical hierarchy process (AHP) for the optimal environmental reclamation of an open-pit mine

Başçetin, Ataç

doi:10.1007/s00254-006-0495-7

Cited by 101 publications

(54 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In most weight profiles, the weight assigned to costs was less than 0.2 (Fig. 7), the mean weight was 0.14 (median 0.12) and the highest weight 0.56 (Bascetin, 2006). The weight of the costs objective was slightly higher when it was a main objective (mean 0.15, n=127) than a sub-objective (mean 0.10, n=29).…”

Section: Costs Objectivementioning

confidence: 98%

Are objectives hierarchy related biases observed in practice? A meta-analysis of environmental and energy applications of Multi-Criteria Decision Analysis

Marttunen

Belton

Lienert

2018

European Journal of Operational Research

View full text Add to dashboard Cite

Procedural and behavioural biases have received little attention in recent Multi-Criteria Decision Analysis (MCDA) research. Our literature review shows that most research on biases was done 15-30 years ago.This study focuses on biases that are introduced at an early stage of MCDA when building objectives hierarchies and their effect on the weights. The main objective is to investigate whether prior findings regarding such biases, which were mostly based on laboratory experiments, can be found in real-world applications. We conducted a meta-analysis of the objectives hierarchies and weight elicitation procedures in 61 environmental and energy MCDA cases. Relationships between the structural characteristics of the objectives hierarchy and assigned objectives' weights were analysed with statistical tests. Our main research questions were: (i) how does hierarchy size and structure affect the objectives' weights? (ii) how are weights distributed across economic, social and environmental objectives? (iii) is there support for the equalising bias? Our findings are mostly aligned with earlier research and suggest that the hierarchy structure and content can substantially influence weight distributions. For example, hierarchical weighting seems to be sensitive to the asymmetry bias, which can occur when a hierarchy has branches that differ in the number of sub-objectives. We found no evidence for the equalising bias. We highlight issues deserving more attention when developing objectives hierarchies and eliciting weights.The research demonstrates the potential to use meta-analysis, which has not previously been used in this way in the MCDA field, to learn from a collection of applications.

show abstract

Section: Costs Objectivementioning

confidence: 98%

Are objectives hierarchy related biases observed in practice? A meta-analysis of environmental and energy applications of Multi-Criteria Decision Analysis

Marttunen

Belton

Lienert

2018

European Journal of Operational Research

View full text Add to dashboard Cite

show abstract

“…Researchers have used MCDA, e.g., to choose among alternative land uses (Fontana et al, 2013;Restrepo Estrada and Alvia Ramirez, 2013;Borgogno-Mondino et al, 2015), to select among a number of flood protection options in watersheds (Porthin et al, 2013), to locate sites suitable for new landfills (Sener et al, 2006;El Baba et al, 2015), to establish sustainable industrial areas (Ruiz et al, 2012), to develop tourism, including ecotourism (Erfani et al, 2015), to assess the sustainability of alternative cropping systems (Sadok et al, 2008(Sadok et al, , 2009, to optimize the reclamation and redevelopment of brownfields and open pit mines (Bascetin, 2007;Morio et al, 2013), or to assess and map land degradation (Bojorquez-Tapia et al, 2013).…”

Section: Multi-criteria Decision Analysis and Soil Servicesmentioning

confidence: 99%

Soil “Ecosystem” Services and Natural Capital: Critical Appraisal of Research on Uncertain Ground

Baveye

Gowdy

2016

Front. Environ. Sci.

302

168

View full text Add to dashboard Cite

“…Metode Analytical Hierarchy Process telah banyak digunakan dalam mendukung pengambilan keputusan dengan hasil yang cukup baik. Penelitian yang menerapkan metode AHP dalam mendukung keputusan diantaranya yaitu untuk penerimaan karyawan [2] [3], optimasi reklamasi lingkungan [4], pemilihan proyek pengiriman [5], pemilihan paket internet [6], dan pemilihan lokasi seminar [7].…”

Section: Pendahuluanunclassified

Sistem Pendukung Keputusan Penyaluran Calon Tenaga Kerja Pada Bursa Kerja Khusus (Bkk) Menggunakan Metode Analytical Hierarchy Process

Prihantoko¹,

sutikno²

2018

klik

View full text Add to dashboard Cite

show abstract

A decision support system using analytical hierarchy process (AHP) for the optimal environmental reclamation of an open-pit mine

Cited by 101 publications

References 7 publications

Are objectives hierarchy related biases observed in practice? A meta-analysis of environmental and energy applications of Multi-Criteria Decision Analysis

Are objectives hierarchy related biases observed in practice? A meta-analysis of environmental and energy applications of Multi-Criteria Decision Analysis

Soil “Ecosystem” Services and Natural Capital: Critical Appraisal of Research on Uncertain Ground

Sistem Pendukung Keputusan Penyaluran Calon Tenaga Kerja Pada Bursa Kerja Khusus (Bkk) Menggunakan Metode Analytical Hierarchy Process

Contact Info

Product

Resources

About