Sensitivity analysis of fuzzy-analytic hierarchical process (FAHP) decision-making model in selection of underground metal mining method

• Autorzy: Balusa Bhanu Chander , Gorai Amit Kumar

Identyfikatory

DOI

10.1016/j.jsm.2018.10.003

• Języki publikacji: EN

Abstrakty

EN

This study aims to analyse the sensitivity in decision-making which results in the selection of the appropriate underground metal mining method using the fuzzy-analytical hierarchy process (FAHP) model. The proposed model considers sixteen criteria for the selection of the most appropriate mining method out of the seven. The model consists of three-layer viz. the first layer represents the criteria (factors which influence the mining method), the second layer represents the sub-criteria (categorisation of the factors) and the third layer represents the alternatives (mining methods). The priority of the different mining methods was determined based on global weights. The global weights of seven mining method were determined using a different fuzzification factor under different decision-making attitudes (optimistic, pessimistic and unbiased). The sensitivity of the decision-making results was analysed in order to understand the robustness of the model.

Słowa kluczowe

EN

decision-making; mining methods; fuzzy AHP; sensitivity analysis

PL

podejmowanie decyzji; metody wydobycia; rozmyty analityczny proces hierarchiczny; analiza wrażliwości

• Wydawca: Elsevier ; Główny Instytut Górnictwa
• Czasopismo: Journal of Sustainable Mining
• Rocznik: 2019
• Tom: Vol. 18, iss. 1
• Strony: 8--17
• Opis fizyczny: Bibliogr. 21 poz.

Twórcy

autor

Balusa Bhanu Chander

• Department of Mining Engineering, National Institute of Technology, Rourkela, 769008, India

autor

Gorai Amit Kumar

• Department of Mining Engineering, National Institute of Technology, Rourkela, 769008, India

Bibliografia

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Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).