Refueling problem of alternative fuel vehicles under intuitionistic fuzzy refueling waiting times: a fuzzy approach

Ferdowsi, F.; Maleki, H. R.; Niroomand, S.

doi:10.22111/ijfs.2019.4644

شماره های تماس اداره نشریات و مجلات علمی دانشگاه

نام مجله پژوهش های تاریخی به پژوهش های تاریخی ایران و اسلام تغییر یافت.

تعداد نشریات	33
تعداد شماره‌ها	758
تعداد مقالات	7,346
تعداد مشاهده مقاله	12,171,798
تعداد دریافت فایل اصل مقاله	8,314,785

	Refueling problem of alternative fuel vehicles under intuitionistic fuzzy refueling waiting times: a fuzzy approach
Iranian Journal of Fuzzy Systems
مقاله 5، دوره 16، شماره 3، مرداد و شهریور 2019، صفحه 47-62 اصل مقاله (600.58 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22111/ijfs.2019.4644
نویسندگان
F. Ferdowsi^* ¹؛ H. R. Maleki¹؛ S. Niroomand²
¹Faculty of Mathematics, Shiraz University of Technology, Shiraz, Iran
²Department of Industrial Engineering, Firouzabad Institute of Higher Education, Firouzabad, Fars, Iran
چکیده
Using alternative fuel vehicles is one of the ways to reduce the consumption of fossil fuels which have many negative environmental effects. An alternative fuel vehicle needs special planning for its refueling operations because of some reasons, e.g. limited number of refueling stations, uncertain refueling queue times in the stations, variable alternative fuel prices among the stations, etc. In this paper, a new problem as refueling an alternative fuel vehicle on a given path is formulated to minimize the cost of refueling and waiting times in the stations for refueling operations, simultaneously. To be more close to real-world situations, the waiting times are considered as intuitionistic fuzzy numbers in order to reflect uncertainty as well as hesitation due to various uncontrollable factors. To cope with the uncertainty of the problem, an intuitionistic fuzzy chance constrained method based on credibility measure is proposed to convert the fuzzy formulation to a crisp model. In order to tackle the bi-objective crisp formulation, a new interactive fuzzy solution method is proposed. A computational study on a real case from Turkey shows that the performance of the presented method is either better or the same as the approaches of the literature. }
کلیدواژه‌ها
Refueling problem؛ Alternative fuel vehicle؛ Multi-objective programming؛ Intuitionistic fuzzy number؛ Credibility Measure

مراجع
[1] K. T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20(1) (1986), 87-96. [2] I. Capar, M. Kuby, An efficient formulation of the flow refueling location model for alternative-fuel stations, IIE Trans, 44(8) (2011), 622-636. [3] C. Carlsson, R. Fuller, Compound interdependences in MOP, Proceedings of the Fourth European Congress on Intelligent Techniques and Soft Computing, (1996), 2-5. [4] C. Carlsson, R. Fuller, Decision problems with interdependent objectives, International Journal of Fuzzy Systems, 2(2) (2000), 98-107. [5] C. Carlsson, R. Fuller, On possibilistic mean value and variance of fuzzy numbers, Fuzzy Sets and Systems, 122(2) (2001), 315-326. [6] D. Chakraborty, D. K. Jana, T. K. Roy, A new approach to solve intuitionistic fuzzy optimization problem using possibility, necessity, and credibility measures, International Journal of Engineering Mathematics, 2014(593185) (2014), 1-12. [7] L. Coroianu, M. Gagolewski, P. Grzegorzewski, Nearest piecewise linear approximation of fuzzy numbers, Fuzzy Sets and Systems, 233 (2013), 26-51. [8] L. Coroianu, L. Stefanini, A note on fuzzy-transform approximation of fuzzy numbers, Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing, (2015). [9] K. Demirli, A. D. Yimer, Fuzzy scheduling of a build-to-order supply chain, International Journal of Production Research, 46 (2008), 3931-3958. [10] A. Dimitropoulos, P. Rietveld, J. Ommeren, Consumer valuation of changes in driving range: A meta-analysis, Transportation Research Part A: Policy and Practice, 55 (2013), 27-45. [11] F. Ferdowsi, H. R. Maleki, S. Niroomand, A credibility-based hybrid fuzzy programming approach for a bi-objective refueling alternative fuel vehicles problem under uncertainty, Journal of Intelligent & Fuzzy Systems, 34(4) (2018a), 2385-2399. [12] F. Ferdowsi, H. R. Maleki, S. Rivaz, Air refueling tanker allocation based on a multi-objective zero-one integer programming model, Oper Res Int J., https://doi.org/10.1007/s12351-018-0402-5 (2018b), In pressed. [13] R. Fuller, On stability in possibilistic linear equality systems with lipschitzian fuzzy numbers, Fuzzy Sets and Systems, 34(3) (1990), 347-353. [14] R. Fuller, P. Majlender, On weighted possibilistic mean and variance of fuzzy numbers, Fuzzy sets and Systems, 136(3) (2003), 363-374. [15] X. He, Y. Wu, Y. Dejian, Intuitionistic fuzzy multi-criteria decision making with application to job hunting: A comparative perspective, Journal of Intelligent & Fuzzy Systems, 30(4) (2016), 1935-1946. [16] M. J. Hodgson, A flow capturing location-allocation model, Geographical Analysis, 22(3) (1990), 270-279. [17] A. Hoen, M. J. Koetse, A choice experiment on alternative fuel vehicle preferences of private car owners in the Netherlands, Transportation Research Part A: Policy and Practice, 61 (2014), 199-215. [18] J-G. Kim, M. Kuby, The deviation- flow refueling location model for optimizing a network of refueling stations, International Journal of Hydrogen Energy, 37(6) (2012), 5406-5420. [19] J. Kim, M. Kuby, A network transformation heuristic approach for the deviation flow refueling location model, Computers Operations Research, 40(4) (2013), 1122-1131. [20] M. Kuby, I. Capar, J. G. Kim, Efficient and equitable transnational infrastructure planning for natural gas trucking in the european union, European Journal of Operational Research, 257(3) (2016), 979-991. [21] M. Kuby, S. Lim, The flow-refueling location problem for alternative-fuel vehicles, Socio-Econom. Planning Sciences, 39(2) (2005), 125-145. [22] P. S. Kumar, R. J. Hussain, A systematic approach for solving mixed intuitionistic fuzzy transportation problems, International Journal of Pure and Applied Mathematics, 92(2) (2014), 181-190. [23] S. Li, Y. Huang, Heuristic approaches for the flow-based set covering problem with deviation paths, Transportation Research Part E: Logistics and Transportation Review, 72 (2014), 144-158. [24] S. Lim, M Kuby, Heuristic algorithms for siting alternative fuel stations using the flow-refueling location model, European Journal of Operational Research, 204(1) (2010), 51-61. [25] M. Miralinaghi, Y. Lou, B. Keskin, A. Zarrinmehr, R. Shabanpour, Refueling station location problem with traffic deviation considering route choice and demand uncertainty, International Journal of Hydrogen Energy, 42(5) (2017), 3335-3351. [26] S. A. MirHassani, R. Ebrazi, A exible reformulation of the refueling-station location problem, Transportation Science, 47(4) (2013), 617-628. [27] S. Mosallaeipour, A. Mahmoodirad, S. Niroomand, B. Vizvari, Simultaneous selection of material and supplier under uncertainty in carton box industries: a fuzzy possibilistic multicriteria approach, Soft Computing, 22(9) (2017), 2891-2905 . [28] V. Nayagam, S. Jeevaraj, S. Geetha, Total ordering for intuitionistic fuzzy numbers, Complexity, 21(S2) (2016), 54-66. [29] M. S. Pishvaee, S. A. Torabi, A possibilistic programming approach for closed-loop supply chain network design under uncertainty, Fuzzy Sets and Systems, 161 (2010), 2668-2683. [30] A. Shukla, J. Pekny, V. Venkatasubramanian, An optimization framework for cost effective design of refueling station infrastructure for alternative fuel vehicles, Computers and Chemical Engineering, 35(10) (2011), 1431-1438. [31] S. K.Singh, S. P. Yadav, A new approach for solving intuitionistic fuzzy transportation problem of type-2, Annals of Operations Research, 243(1-2) (2016), 349-363. [32] S. K. Singh, S. P. Yadav, Intuitionistic fuzzy multi-objective linear programming problem with various membership functions, Annals of Operations Researc, 269(1-2) (2017), 693-707 . [33] M. Tavana, F. J. Santos-Arteaga, S. Mohammadi, M. Alimohammadi, A fuzzy multi-criteria spatial decision support system for solar farm location planning, Energy Strategy Reviews, 18 (2017), 93-105. [34] M. Tavana, M. Zareinejad, F. J. Santos-Arteaga, An intuitionistic fuzzy-grey superiority and inferiority ranking method for third-party reverse logistics provider selection, International Journal of Systems Science: Operations and Logistics, 5(2) (2016), 175-194 . [35] S. A. Torabi, E. Hassini, An interactive possibilistic programming approach for multiple objective supply chain master planning, Fuzzy Sets and Systems, 159 (2008), 193-214. [36] Y. W.Wang, C. C. Lin, Locating road-vehicle refueling stations, Transportation Res. Part E: Logist. Transportation Rev., 45(5) (2009), 821-829. [37] H. J. Zimmermann, Fuzzy programming and linear programming with several objective functions, Fuzzy Sets and Systems, 1 (1978), 45-55.
آمار تعداد مشاهده مقاله: 1,120 تعداد دریافت فایل اصل مقاله: 426

سامانه مدیریت نشریات علمی. طراحی و پیاده سازی از سیناوب

پیوندهای مفید

اخبار و اعلانات

آمار

Refueling problem of alternative fuel vehicles under intuitionistic fuzzy refueling waiting times: a fuzzy approach