A dynamic intuitionistic fuzzy group decision analysis for sustainability risk assessment in surface mining operation projects

• Autorzy: Borujeni Mohammad Panahi , Behzadipour Arash , Gitinavard Hossein

Identyfikatory

DOI

10.46873/2300-3960.1435

• Języki publikacji: EN

Abstrakty

EN

With the increasing advancement of technology and science in the fields of engineering, different industries have different benefits that can help the global community in areas related to social, environmental, and economic requirements. The mining industry is one of the suitable sources of wealth production in different societies, which leads different societies to appropriate profitability. In this regard, one of the challenges facing managers and decision-makers is not related to financial challenges and risks. This research uses the dynamic intuitionistic fuzzy entropy method to compute the criteria weights, and the dynamic intuitionistic fuzzy maximizing similarity (DIF-SM) approach to compute the DMs’ weights to establish consensus dynamic intuitionistic fuzzy group decision making (DIFGDM) and dynamic intuitionistic fuzzy weighting based ideal solution (DIF-WIS) method under dynamic and fuzzy conditions to calculate the ranking of the options. In order to assess the effectiveness of the introduced approach, a real case study was used in Iran. Then, a comparative analysis regarding the relevant studies was used to represent the effectiveness of the method. The results show the reliability of the introduced model, and the final ranking outcomes are the same for both methods.

Słowa kluczowe

EN

sustainable management; surface mining; group decision analysis; intuitionistic fuzzy set; financial risk assessment

PL

zrównoważone zarządzanie; górnictwo odkrywkowe; analiza decyzji grupowych; intuicyjny zbiór rozmyty; ocena ryzyka finansowego

• Wydawca: Elsevier ; Główny Instytut Górnictwa
• Czasopismo: Journal of Sustainable Mining
• Rocznik: 2025
• Tom: Vol. 24, iss. 1
• Strony: 15--31
• Opis fizyczny: Bibliogr. 34 poz.

Twórcy

autor

Borujeni Mohammad Panahi

• Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran

• https://orcid.org/0000-0002-1586-2661

autor

Behzadipour Arash

• Civil Engineering Department, University of Aveiro, Portugal

• https://orcid.org/0000-0003-0094-1479

autor

Gitinavard Hossein

• Faculty of Mechanical and Energy Engineering, Shahid Beheshti University, Tehran, Iran

• https://orcid.org/0000-0002-8130-1408

Bibliografia

• [1] Aven T. Foundations of risk analysis. John Wiley & Sons; 2012.
• [2] Mihai A, Marincea A, Ekenberg L. A MCDM analysis of the Rosia Montana gold mining project. Sustainability 2015;7(6): 7261e88.
• [3] Shariati S, Yazdani-Chamzini A, Salsani A, Tamosaitien_e J. Proposing a new model for waste dump site selection: case study of Ayerma Phosphate Mine. Eng Econ 2014;25(4):410e9.
• [4] Sustainability assessment of Angouran lead and zinc mining complex. In: Heidari M, Osanloo M, editors. Proceedings of the 27th international symposium on mine planning and equipment selection-MPES 2018. Springer; 2019.
• [5] Spanidis P-M, Roumpos C, Pavloudakis F. A fuzzy-AHP methodology for Planning the risk management of Natural hazards in surface mining projects. Sustainability 2021;13(4): 2369.
• [6] MonjeziM, Dehghani H, Singh TN, Sayadi AR, Gholinejad A. Application of TOPSIS method for selecting the most appropriate blast design. Arabian J Geosci 2012;5(1):95.
• [7] Gul M, Ak MF, Guneri AF. Pythagorean fuzzy VIKOR-based approach for safety risk assessment in mine industry. J Saf Res 2019;69:135e53.
• [8] Rouhani S, Ravasan AZ. Multi-objective model for intelligence evaluation and selection of enterprise systems. Int J Bus Inf Syst 2015;20(4):397e426.
• [9] Karmaker CL, Al Aziz R, Palit T, Bari AM. Analyzing supply chain risk factors in the small and medium enterprises under fuzzy environment: implications towards sustainability for emerging economies. Sustain Technol Entrep 2023;2(1): 100032.
• [10] Zimmermann H-J. Fuzzy set theorydand its applications. Springer Science & Business Media; 2011.
• [11] Atanassov K. Intuitionistic fuzzy sets. Int J Bioautomation 2016;20:1.
• [12] Evaluation of logistics service providers with uncertain dynamic intuitionistic fuzzy sets. Intelligent and fuzzy techniques in big data analytics and decision making. In: Aydõn S, editor. Proceedings of the INFUS 2019 conference, Istanbul, Turkey. Springer; July 23-25, 2019; 2020.
• [13] Naghadehi MZ, Mikaeil R, Ataei M. The application of fuzzy analytic hierarchy process (FAHP) approach to selection of optimum underground mining method for Jajarm Bauxite Mine, Iran. Expert Syst Appl 2009;36(4):8218e26.
• [14] Wang Q, Wang H, Qi Z. An application of nonlinear fuzzy analytic hierarchy process in safety evaluation of coal mine. Saf Sci 2016;86:78e87.
• [15] Kant R, Sen P, Paul P, Kher AA. A review of approaches used for the selection of optimum stoping method in hard rock underground mine. Int J Appl Eng Res 2016;11(11):7483e90.
• [16] Samantra C, Datta S, Mahapatra SS. A risk-based decision support framework for selection of appropriate safety measure system for underground coal mines. Int J Inj Control Saf Promot 2017;24(1):54e68.
• [17] Verma S, Chaudhari S. Fuzzy AHP approach for risk assessment in manganese mines of India. Int J Decis Sci Risk Manag 2017;7(3):169e89.
• [18] Gitinavard H. Strategic evaluation of sustainable projects based on hybrid group decision analysis with incomplete information. J Qual Eng Prod Optim 2019;4(2):17e30.
• [19] Amirshenava S, Osanloo M. Mine closure risk management: an integration of 3D risk model and MCDM techniques. J Clean Prod 2018;184:389e401. 30 JOURNAL OF SUSTAINABLE MINING 2025;24:15e31 RESEARCH
• [20] Banda W. An integrated framework comprising of AHP, expert questionnaire survey and sensitivity analysis for risk assessment in mining projects. Int J Manag Sci Eng Manag 2019;14(3):180e92.
• [21] Yari M, Bagherpour R, Khoshouei M, Pedram H. Investigating a comprehensive model for evaluating occupational and environmental risks of dimensional stone mining. Rudarsko-Geolosko-Naftni Zb 2020;35(1).
• [22] Cui C-q, Wang B, Zhao Y-x, Zhang Y-J, Xue L-m. Risk management for mine closure: a cloud model and hybrid semi-quantitative decision method. Int J Miner Metall Mater 2020;27:1021e35.
• [23] Liang W, Dai B, Zhao G, Wu H. Assessing the performance of green mines via a hesitant fuzzy ORESTEeQUALIFLEX method. Mathematics 2019;7(9):788.
• [24] Banda W. A fuzzy techno-financial methodology for selecting an optimal mining method. Nat Resour Res 2020;29(5): 3047e67.
• [25] Bakhtavar E, Aghayarloo R, Yousefi S, Hewage K, Sadiq R. Renewable energy based mine reclamation strategy: a hybrid fuzzy-based network analysis. J Clean Prod 2019;230:253e63.
• [26] Saleh BI, Anwar C, Abidin RZ, Radyawanto AS. Analytical hierarchy process for enhancing procurement decisionmaking in project phase: a case study in the gold mining project. ComTech: Comput Math Eng Appl 2020;11(1):43e56.
• [27] Jiskani IM, Shah SAA, Qingxiang C, Zhou W, Lu X. A multicriteria based SWOT analysis of sustainable planning for mining and mineral industry in Pakistan. Arabian J Geosci 2020;13:1e16.
• [28] Hajmohammad S, Klassen RD, Vachon S. Managing supplier sustainability risk: an experimental study. Supply Chain Manag 2024;29(1):50e67.
• [29] Xu Z, Yager RR. Dynamic intuitionistic fuzzy multiattribute decision making. Int J Approx Reason 2008;48(1): 246e62.
• [30] Gitinavard H, Shirazi MA, Zarandi MHF. Sustainable feedstocks selection and renewable products allocation: a new hybrid adaptive utility-based consensus model. J Environ Manag 2020;264:110428.
• [31] Askari Lasaki A, Adlparvar MR, Shahbazi MS. An integrated soft computing method based on intuitionistic fuzzy environment to appraise the urban bridge maintenance models. Adv Ind Eng 2021;55(3):307e22.
• [32] Ortiz-Barrios M, Cabarcas-Reyes J, Ishizaka A, Barbati M, Jaramillo-Rueda N, de Jesús Carrascal-Zambrano G. A hybrid fuzzy multi-criteria decision making model for selecting a sustainable supplier of forklift filters: a case study from the mining industry. Ann Oper Res 2021;307: 443e81.
• [33] Baloyi VD, Meyer L. The development of a mining method selection model through a detailed assessment of multi-criteria decision methods. Results Eng 2020;8: 100172.
• [34] Mishra AR, Rani P, Pandey K, Mardani A, Streimikis J, Streimikiene D, et al. Novel multi-criteria intuitionistic fuzzy SWARAeCOPRAS approach for sustainability evaluation of the bioenergy production process. Sustainability 2020;12(10): 4155. JOURNAL OF SUSTAINABLE MINING 2025;24:15e31 31 RESEARCH ARTICLE

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).