EDP Sciences logo
Subscriber Authentication Point
Search
Menu
All issues Volume 55 (2021) Supplement RAIRO-Oper. Res., 55 (2021) S2923-S2952 References
Free Access
Issue
RAIRO-Oper. Res.
Volume 55, 2021
Regular articles published in advance of the transition of the journal to Subscribe to Open (S2O). Free supplement sponsored by the Fonds National pour la Science Ouverte
Page(s) S2923 - S2952
DOI https://doi.org/10.1051/ro/2020129
Published online 02 March 2021
  • R.M.R. Allah, A.E. Hassanien and M. Elhoseny, A multi-objective transportation model under neutrosophic environment. Comput. Electr. Eng. 69 (2018) 705–719. [Google Scholar]
  • P. Anukokila, B. Radhakrishnan and A. Anju, Goal programming approach for solving multi-objective fractional transportation problem with fuzzy parameters. RAIRO:OR 53 (2019) 157–178. [Google Scholar]
  • A.N. Balaji, J.M. Nilakantan, I. Nielsen, N. Jawahar and S.G. Ponnambalam, Solving fixed-charge transportation problem with truck load constraint using metaheuristics. Ann. Oper. Res. 273 (2019) 207–236. [Google Scholar]
  • S.K. Das and S.K. Roy, Effect of variable carbon emission in a multi-objective transportation-p-facility location problem under neutrosophic environment. Comput. Ind. Eng. 132 (2019) 311–324. [Google Scholar]
  • S.K. Das, S.K. Roy and G.W. Weber, Application of type-2 fuzzy logic to a multi-objective green solid transportation-location problem with dwell time under carbon emission tax, cap and offset policy: Fuzzy vs. Non-fuzzy techniques, IEEE Trans. Fuzzy Syst. 28 (2020) 2711–2725. [Google Scholar]
  • A. Ebrahimnejad, A simplified new approach for solving fuzzy transportation problem with generalized trapezoidal fuzzy numbers. Appl. Soft Comput. 19 (2014) 171–176. [Google Scholar]
  • A. Ebrahimnejad, New method for solving fuzzy transportation problems with LR flat fuzzy numbers. Inf. Sci. 357 (2016) 108–124. [Google Scholar]
  • A. Ebrahimnejad, A method for solving linear programming with interval-valued trapezoidal fuzzy variables. RAIRO:OR 52 (2018) 955–979. [Google Scholar]
  • Y. Gao and S. Kar, Uncertain solid transportation problem with product blending. Int. J. Fuzzy Syst. 19 (2017) 1916–1926. [Google Scholar]
  • M. Ghaznavi, N. Hoseinpoor and F. Soleimani, A Newton method for capturing Pareto optimal solutions of fuzzy multi-objective optimization problems. RAIRO:OR 53 (2019) 867–886. [Google Scholar]
  • N. Hashmi, S.A. Jalil and S. Javaid, A model for two-stage fixed-charge transportation problem with multiple objectives and fuzzy linguistic preferences. Soft Comput. 23 (2019) 12401–12415. [Google Scholar]
  • W.M. Hirsch and G.B. Dantzig, The fixed-charge problem. Nav. Res. Logistics Q. 15 (1968) 413–424. [Google Scholar]
  • F.L. Hitchcock, The distribution of a product from several sources to numerous localities. J. Math. Phys. 20 (1941) 224–230. [Google Scholar]
  • P. Kaur, V. Verma and K. Dahiya, Capacitated two-stage time minimization transportation problem with restricted flow. RAIRO:OR 51 (2017) 447–467. [Google Scholar]
  • L. Li and K.K. Lai, A fuzzy approach to the multi-objective transportation problem. Comput. Oper. Res. 27 (2000) 43–57. [Google Scholar]
  • B. Liu, Theory and Practice of Uncertain Programming. Springer, Berlin-Heidelberg (2009). [Google Scholar]
  • B. Liu, Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty. Vol. 300 of Studies in Computational Intelligence Springer, Berlin-Heidelberg (2010). [Google Scholar]
  • B. Liu and Y.K. Liu, Expected value of the fuzzy variable and fuzzy expected value models. IEEE Trans. Fuzzy Syst. 10 (2002) 445–450. [Google Scholar]
  • G. Maity, S.K. Roy and J.L. Verdegay, Multi-objective transportation problem with cost reliability under uncertain environment. Int. J. Comput. Intell. Syst. 9 (2016) 839–849. [Google Scholar]
  • G. Maity, S.K. Roy and J.L. Verdegay, Time variant multi-objective interval valued transportation problem in sustainable development. Sustainability 11 (2019) 6161. [Google Scholar]
  • A.H. Marbini, P.J. Agrell, M. Tavana and A. Emrouznejad, A stepwise fuzzy linear programming model with possibility and necessity relations. J. Intell. Fuzzy Syst. 25 (2013) 81–93. [Google Scholar]
  • A. Menni and D. Chaabane, A possibilistic optimization over an integer efficient set within a fuzzy environment. RAIRO:OR 54 (2020) 1437–1452. [Google Scholar]
  • S. Midya and S.K. Roy, Solving single-sink, fixed-charge, multi-objective, multi-index stochastic transportation problem. Am. J. Math. Manage. Sci. 33 (2014) 300–314. [Google Scholar]
  • S. Midya and S.K. Roy, Analysis of interval programming in different environments and its application to fixed-charge transportation problem. Dis. Math. Algorithms App. 9 (2017) 1750040. [Google Scholar]
  • S. Midya and S.K. Roy, Multi-objective fixed-charge transportation problem using rough programming. Int. J. Oper. Res. 37 (2020) 377–395. [Google Scholar]
  • S. Midya, S.K. Roy and V.F. Yu, Intuitionistic fuzzy multi-stage multi-objective fixed-charge solid transportation problem in a green supply chain. To appear in: Int. J. Mach. Learn. Cybern. (2020) DOI: 10.1007/s13042-020-01197-1. [Google Scholar]
  • D.J. Papageorgiou, A. Toriello, G.L. Nemhauser and M.W.P. Savelsbergh, Fixed-charge transportation with product blending. Transp. Sci. 46 (2012) 281–295. [Google Scholar]
  • Z. Pawlak, Rough sets. Int. J. Comput. Inf. Sci. 11 (1982) 341–356. [Google Scholar]
  • S.K. Roy and S. Midya, Multi-objective fixed-charge solid transportation problem with product blending under intuitionistic fuzzy environment. Appl. Intell. 49 (2019) 3524–3538. [Google Scholar]
  • S.K. Roy, A. Ebrahimnejad, J.L. Verdegay and S. Das, New approach for solving intuitionistic fuzzy multi-objective transportation problem. Sadhana 43 (2018) 3. [Google Scholar]
  • S.K. Roy, S. Midya and V.F. Yu, Multi-objective fixed-charge transportation problem with random rough variables. Int. J. Univ. Fuzziness Knowl.-Based Syst. 26 (2018) 971–996. [Google Scholar]
  • S.K. Roy, S. Midya and G.W. Weber, Multi-objective multi-item fixed-charge solid transportation problem under two-fold uncertainty. Neural Comput. App. 31 (2019) 8593–8613. [Google Scholar]
  • F. Smarandache, A unifying field in logics. Neutrosophy: Neutrosophic Probability, Set and Logic. American Research Press, Rehoboth (1999). [Google Scholar]
  • D. Sengupta, A. Das and U.K. Bera, A gamma type-2 defuzzification method for solving a solid transportation problem considering carbon emission. Appl. Intell. 48 (2018) 3995–4022. [Google Scholar]
  • J. Xu and Z. Tao, Rough Multiple Objective Decision Making. Taylor and Francis Group CRC Press (2012). [Google Scholar]
  • J. Xu and L. Yao, A class of multi-objective linear programming models with random rough coefficients. Math. Comput. Modell. 49 (2009) 189–206. [Google Scholar]
  • J. Xu and X. Zhou, Fuzzy-like Multiple Objective Decision Making. Vol. 263 of Studies in Fuzziness and Soft Computing Springer, Berlin (2011). [CrossRef] [Google Scholar]
  • L.A. Zadeh, Fuzzy sets. Inf. Control 8 (1965) 338–353. [Google Scholar]
  • G. Zhao and D. Pan, A transportation planning problem with transfer cost in uncertain environment. Soft Comput. 24 (2019) 2647–2653. [Google Scholar]
  • T. Zhimiao and J. Xu, A class of rough multiple objective programming and its application to solid transportation problem. Inf. Sci. 188 (2012) 215–235. [Google Scholar]
  • H.J. Zimmermann, Fuzzy programming and linear programming with several objective functions. Fuzzy Sets Syst. 1 (1978) 45–55. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.