Cite
An integrated interval-valued intuitionistic fuzzy AHP-TOPSIS methodology to determine the safest route for cash in transit operations: a real case in Istanbul.
MLA
Yildiz, Aslihan, et al. “An Integrated Interval-Valued Intuitionistic Fuzzy AHP-TOPSIS Methodology to Determine the Safest Route for Cash in Transit Operations: A Real Case in Istanbul.” Neural Computing & Applications, vol. 34, no. 18, Sept. 2022, pp. 15673–88. EBSCOhost, https://doi.org/10.1007/s00521-022-07236-y.
APA
Yildiz, A., Guneri, A. F., Ozkan, C., Ayyildiz, E., & Taskin, A. (2022). An integrated interval-valued intuitionistic fuzzy AHP-TOPSIS methodology to determine the safest route for cash in transit operations: a real case in Istanbul. Neural Computing & Applications, 34(18), 15673–15688. https://doi.org/10.1007/s00521-022-07236-y
Chicago
Yildiz, Aslihan, Ali Fuat Guneri, Coskun Ozkan, Ertugrul Ayyildiz, and Alev Taskin. 2022. “An Integrated Interval-Valued Intuitionistic Fuzzy AHP-TOPSIS Methodology to Determine the Safest Route for Cash in Transit Operations: A Real Case in Istanbul.” Neural Computing & Applications 34 (18): 15673–88. doi:10.1007/s00521-022-07236-y.