An Enhanced Interval Rough Numbers-Based Outranking Technique for Evaluation of Technology for Sustainable Mining

[1] Z. Akram, U. Ahmad, J. C. R. Alcantud, Multi-criteria decision-making for the selection of best airport ground
access mode with a new fuzzy rough-entropy based method, Engineering Applications of Artificial Intelligence, 135
(2024), 108843. https://doi.org/10.1016/j.engappai.2024.108843

[2] M. Akram, S. Azam, M. M. A. Al-Shamiri, D. Pamucar, An outranking method for selecting the best gate security
system using spherical fuzzy rough numbers, Engineering Applications of Artificial Intelligence, 138 (2024), 109411.https://doi.org/10.1016/j.engappai.2024.109411

[3] M. Akram, F. Ilyas, M. Deveci, Interval rough integrated SWARA-ELECTRE model: An application to machine
tool remanufacturing, Expert Systems with Applications, 238 (2024), 122067. https://doi.org/10.1016/j.eswa.
2023.122067

[4] R. Benayoun, B. Roy, B. Sussman, ELECTRE: Une m´ethode pour guider le choix en pr´esence de points de vue
multiples, Note de Travail 49, Sema-Metra International, Direction Scientifique, 1966.

[5] M. Deveci, E. ¨ Ozcan, R. John, D. Pamucar, H. Karaman, Offshore wind farm site selection using interval rough
numbers based Best-Worst Method and MARCOS, Applied Soft Computing, 109 (2021), 107532. https://doi.
org/10.1016/j.asoc.2021.107532

[6] F. Ecer, D. Pamucar, A. Mardani, M. Alrasheedi, Assessment of renewable energy resources using new interval
rough number extension of the level based weight assessment and combinative distance-based assessment, Renewable
Energy, 170 (2021), 1156-1177. https://doi.org/10.1016/j.renene.2021.02.004

[7] J. R. Figueira, V. Mousseau, B. Roy, ELECTRE methods, In: S. Greco, M. Ehrgott, J. Figueira, (eds) Multiple
criteria decision analysis, International Series in Operations Research and Management Science, 233 (2016), 155-185.
https://doi.org/10.1007/0-387-23081-5_4

[8] S. Ghosh, S. Chakraborty, S. Chakraborty, An integrated IRN-SWARA-MABAC-based approach for evaluation
of tourism websites of the Indian states, OPSEARCH, 59 (2022), 974-1017. https://doi.org/10.1007/
s12597-022-00583-3

[9] J. Grolleau, J. Tergny, Manuel de r´eference du programme ELECTRE II, Document de Travail 24, Sema-Metra
International, Direction Scientifique, 1971.

[10] M. Iordache, D. Pamucar, M. Deveci, D. Chisalita, Q. Wu, I. Iordache, Prioritizing the alternatives of the natural
gas grid conversion to hydrogen using a hybrid interval rough based Dombi MARCOS model, International Journal
of Hydrogen Energy, 47(19) (2022), 10665-10688. https://doi.org/10.1016/j.ijhydene.2022.01.130

[11] H. F. Li, J. J. Wang, An improved ranking method for ELECTRE III, International Conference on Wireless
Communications, Networking and Mobile Computing, (2007), 6659-6662. doi:10.1109/WICOM.2007.1634

[12] J. C. L. Lopez, E. Solares, J. R. Figueira, An evolutionary approach for inferring the model parameters of the
hierarchical ELECTRE III method, Information Sciences, 607 (2022), 705-726. https://doi.org/10.1016/j.ins.
2022.06.014

[13] D. Mardanya, G. Maity, S. K. Roy, V. F. Yu, Solving the multi-modal transportation problem via the rough interval
approach, RAIRO Operations Research, 56(4) (2022), 3155-3185. https://doi.org/10.1051/ro/2022131

[14] R. E. Moore, Interval analysis, Englewood Cliffs, New Jersey: Prentice-Hall, 1966.

[15] D. Pamucar, M. Deveci, I. Gokasar, P. R. Brito-Parada, L. Martinez, Evaluation of process technologies for sustainable
mining using interval rough number based Heronian and power averaging functions, Knowledge-Based Systems,
289 (2024), 111494. https://doi.org/10.1016/j.knosys.2024.111494

[16] D. Pamucar, I. Gokasar, A. E. Torkayesh, M. Deveci, L. Martinez, Q.Wu, Prioritization of unmanned aerial vehicles
in transportation systems using the integrated stratified fuzzy rough decision-making approach with the Hamacher
operator, Information Sciences, 622 (2023), 374-404. https://doi.org/10.1016/j.ins.2022.11.143

[17] D. Pamucar, M. Mihajlovi´c, R. Obradovi´c, P. Atanaskovi´c, Novel approach to group multi-criteria decision making
based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model, Expert Systems with Applications, 88
(2017), 58-80. https://doi.org/10.1016/j.eswa.2017.06.037

[18] D. Pamucar, ˇZ. Stevi´c, E. K. Zavadskas, Integration of interval rough AHP and interval rough MABAC methods
for evaluating university web pages, Applied Soft Computing, 67 (2018), 141-163. https://doi.org/10.1016/j.
asoc.2018.02.057

[19] Z. Pawlak, Rough sets, International Journal of Computer and Information Sciences, 11(5) (1982), 341-356. http:
//dx.doi.org/10.1007/BF01001956

[20] M. Rasoulzadeh, S. A. Edalatpanah, M. Fallah, S. E. Najafi, A hybrid model for choosing the optimal stock
portfolio under intuitionistic fuzzy sets, Iranian Journal of Fuzzy Systems, 21(2) (2024), 161-179. 10.22111/ijfs.
2024.45118.7968

[21] B. Roy, ELECTRE III: Un algorithme de classements fond´e sur une repr´esentation floue des pr´ef´erences en
pr´esence de crit`eres multiples, Cahiers du Centre D’´etudes de Recherche Operationnelle, 20(1) (1978), 3-24.

[22] B. Roy, The outranking approach and the foundation of ELECTRE methods, Theory Decision, 31 (1991), 49-73.
https://doi.org/10.1007/BF00134132

[23] B. Roy, J. R. Figueira, J. Almeida-Dias, Discriminating thresholds as a tool to cope with imperfect knowledge in
multiple criteria decision aiding: Theoretical results and practical issues, Omega, 43 (2014), 9-20. https://doi.
org/10.1016/j.omega.2013.05.003

[24] M. Sarwar, Decision making model for design concept evaluation based on interval rough integrated cloud VIKOR,
Journal of Ambient Intelligence and Humanized Computing, 14 (2023), 3875-3897. https://doi.org/10.1007/
s12652-022-04459-8

[25] M. Sarwar, G. Ali, S. Shahzadi, L. Xiao, Dual interval rough integrated cloud COPRAS method: A novel hybrid
assessment model for remanufacturing system selection, Soft Computing, (2023). https://doi.org/10.1007/
s00500-023-09327-x

[26] ˇZ. Stevi´c, E. Durmi´c, M. Gaji´c, D. Pamucar, A. Pu´ska, A novel multi-criteria decision-making model: Interval
rough SAW method for sustainable supplier selection, Information, 14(7) (2023), 383. https://doi.org/10.3390/
info10100292

[27] M. Sultan, M. Akram, An extended multi-criteria decision-making technique for hydrogen and fuel cell supplier
selection by using spherical fuzzy rough numbers, Journal of Applied Mathematics and Computing, (2024). https:
//doi.org/10.1007/s12190-024-02298-8

[28] E. Takeda, A method for multiple pseudo-criteria decision problems, Computers and Operations Research, 28(14)
(2001), 1427-1439. https://doi.org/10.1016/S0305-0548(00)00050-2

[29] M. Yazdani, P. Chatterjee, D. Pamucar, S. Chakraborty, Development of an integrated decision making model for
location selection of logistics centers in the Spanish autonomous communities, Expert System with Applications,
148 (2020), 113208. https://doi.org/10.1016/j.eswa.2020.113208

[30] L. A. Zadeh, Fuzzy sets, Information and Control, 8(3) (1965), 338-353. https://doi.org/10.1016/
S0019-9958(65)90241-X

[31] M. ˇZiˇzovi´c, D. Pamucar, New model for determining criteria weights: Level based weight assessment (LBWA)
model, Decision Making: Applications in Management and Engineering, 2(2) (2019), 126-137. https://doi.org/
10.31181/dmame1902102z