104
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Decision making in two-layer supply chain with doubt fuzzy set

, ORCID Icon &
Article: 2134751 | Received 03 Aug 2022, Accepted 04 Oct 2022, Published online: 28 Oct 2022

References

  • Aggarwal, M. (2020). Representing uncertainty about fuzzy membership grade. Soft Computing. https://doi.org/10.1007/s00500-020-05050-z
  • Ali, M., & Smarandache, F. (2017). Complex neutrosophic set. Neural Computing and Applications, 28(7), 1817–1834. https://doi.org/10.1007/s00521-015-2154-y
  • Amjadian, A., & Gharaei, A. (2022). An integrated reliable five-level closed-loop supply chain with multi-stage products under quality control and green policies: Generalised outer approximation with exact penalty. International Journal of Systems Science: Operations & Logistics, 9(3), 429–449. https://doi.org/10.1080/23302674.2021.1919336
  • Askari, R., Sebt, M. V., & Amjadian, A. (2021). A multi-product EPQ model for defective production and inspection with single machine, and operational constraints: Stochastic programming approach. Communications in Computer and Information Science, Springer, Cham, 1458, 161–193. https://doi.org/10.1007/978-3-030-89743-7_10
  • Bhattacharya, K., & De, S. K. (2020). A robust two layer green supply chain modelling under performance based fuzzy game theoretic approach. Computers & Industrial Engineering, 152(8), https://doi.org/10.1016/j.cie.2020.107005
  • Bhattacharya, K., & De, S. K. (2021). Solution of a pollution sensitive EOQ model under fuzzy lock leadership game approach. Granular Computing, https://doi.org/10.1007/s41066-021-00289-9
  • Bhattacharya, K., De, S. K., Khan, A., & Nayak, P. K. (2020). Pollution sensitive global crude steel production–transportation model under the effect of corruption perception index. OPSEARCH, 58(9), https://doi.org/10.1007/s12597-020-00498-x
  • Braslow, M. D., Guerrattaz, J., Arkin, R. M., & Oleson, K. C. (2012). Self-doubt. Social and Personality Psychology Compass, 6(6), 470–482. https://doi.org/10.1111/j.1751-9004.2012.00441.x
  • Bushuev, M. A., Guiffrida, A., Jaber, M. Y., & Khan, M. (2015). A review of inventory lot sizing review papers. Management Research Review, 38(3), 283–298. https://doi.org/10.1108/MRR-09-2013-0204
  • Choudhury, M., De, S. K., & Mahata, G. C. (2021). Pollution-sensitive integrated production-inventory management for deteriorating items with quality loss and quantity loss with expiration date. International Journal of Systems Science: Operations & Logistics, 1–23. https://doi.org/10.1080/23302674.2021.1950863
  • Das, P., De, S. K., & Sana, S. S. (2014). An EOQ model for time dependent backlogging over idle time: A step order fuzzy approach. International Journal of Applied and Computational Mathematics, https://doi.org/10.1007/s40819-014-0001-y
  • Dat, L. Q., Thong, N. T., Son, L. H., Ali, M., Smarandache, F., Abdel-Basset, M., & Long, H. V. (2019). Linguistic approachs to interval complex neutrosophic sets in decision making. IEEE Access, https://doi.org/10.1109/ACCESS.2019.2902841
  • De, S. K. (2017). Triangular dense fuzzy lock sets. Soft Computing, https://doi.org/10.1007/s00500-017-2726-0
  • De, S. K. (2020a). On degree of fuzziness and fuzzy decision making. Cybernetics and Systems, https://doi.org/10.1080/01969722.2020.1723872
  • De, S. K. (2020b). Solving an EOQ model under fuzzy reasoning. Applied Soft Computing, https://doi.org/10.1016/j.asoc.2020.106892
  • De, S. K., & Beg, I. (2016). Triangular dense fuzzy sets and new defuzzification methods. Journal of Intelligent & Fuzzy Systems, 31(1), 469–477. https://doi.org/10.3233/IFS-162160
  • De, S. K., & Bhattacharya, K. (2022). A pollution sensitive marxian production inventory model with deterioration under fuzzy system. Journal of Optimization Theory and Applications, https://doi.org/10.1007/s10957-021-01979-9
  • De, S. K., & Mahata, G. C. (2017). Decision of a fuzzy inventory with fuzzy backorder model under cloudy fuzzy demand rate. International Journal of Applied and Computational Mathematics, 3, 1–17. https://doi.org/10.1007/s40819-016-0258-4
  • De, S. K., & Mahata, G. C. (2019). A production inventory supply chain model with partial backordering and disruption under triangular linguistic dense fuzzy lock set approach. Soft Computing, https://doi.org/10.1007/s00500-019-04254-2
  • De, S. K., Mahata, G. C., & Maity, S. (2021a). Carbon emission sensitive deteriorating inventory model with trade credit under volumetric fuzzy system. International Journal of Intelligent Systems, https://doi.org/10.1002/int.22599
  • De, S. K., Roy, B., & Bhattacharya, K. (2021b). Solving an EPQ model with doubt fuzzy set: A robust intelligent decision-making approach. Knowledge-Based Systems, https://doi.org/10.1016/j.knosys.2021.107666
  • Gharaei, A., & Almehdawe, E. (2020). Economic growing quantity. International Journal of Production Economics, 223, https://doi.org/10.1016/j.ijpe.2019.107517
  • Gharaei, A., & Almehdawe, E. (2021). Optimal sustainable order quantities for growing items. Journal of Cleaner Production, 307, https://doi.org/10.1016/j.jclepro.2021.127216
  • Gharaei, A., Amjadian, A., Amjadian, A., Shavandi, A., Hashemi, A., Taher, M., & Mohamadi, N. (2022). An integrated lot-sizing policy for the inventory management of constrained multi-level supply chains: Null-space method. International Journal of Systems Science: Operations & Logistics, https://doi.org/10.1080/23302674.2022.2083254
  • Gharaei, A., Amjadian, A., & Shavandi, A. (2021a). An integrated reliable four-level supply chain with multi-stage products under shortage and stochastic constraints. International Journal of Systems Science: Operations & Logistics, https://doi.org/10.1080/23302674.2021.1958023
  • Gharaei, A., Karimi, M., & Shekarabi, S. A. H. (2020). Joint economic lot-sizing in multi-product multi-level integrated supply chains: Generalized benders decomposition. International Journal of Systems Science: Operations & Logistics, 7(4), 309–325. https://doi.org/10.1080/23302674.2019.1585595
  • Gharaei, A., Karimi, M., & Shekarabi, S. A. H. (2021b). Vendor-managed inventory for joint replenishment planning in the integrated qualitative supply chains: Generalised benders decomposition under separability approach. International Journal of Systems Science: Operations & Logistics, https://doi.org/10.1080/23302674.2021.1962428
  • Gharaei, A., Shekarabi, S. A. H., & Karimi, M. (2021c). Optimal lot-sizing of an integrated EPQ model with partial backorders and re-workable products: An outer approximation. International Journal of Systems Science: Operations & Logistics, https://doi.org/10.1080/23302674.2021.2015007
  • Gharaei, A., Shekarabi, S. A. H., Karimi, M., Pourjavad, E., & Amjadian, A. (2021d). An integrated stochastic EPQ model under quality and green policies: Generalised cross decomposition under the separability approach. International Journal of Systems Science: Operations & Logistics, 8(2), 119–131. https://doi.org/10.1080/23302674.2019.1656296
  • Joshi, R. (2022a). Multi-criteria decision making based on novel fuzzy knowledge measures. Granular Computing, https://doi.org/10.1007/s41066-022-00329-y
  • Joshi, R. (2022b). Multi-criteria decision-making based on bi-parametric exponential fuzzy information measures and weighted correlation coefficients. Granular Computing, 7(1), 49–62. https://doi.org/10.1007/s41066-020-00249-9
  • Joshi, R., & Kumar, S. (2018). An (R, S)-norm fuzzy information measure with its applications in multiple-attribute decision-making. Computational and Applied Mathematics, 37(3), 2943–2964. https://doi.org/10.1007/s40314-017-0491-4
  • Karmakar, S., De, S. K., & Goswami, A. (2017). A pollution sensitive dense fuzzy economic production quantity model with cycle time dependent production rate. Journal of Cleaner Production, 154. https://doi.org/10.1016/j.jclepro.2017.03.080
  • Karmakar, S., De, S. K., & Goswami, A. (2018). A pollution sensitive remanufacturing model with waste items: Triangular dense fuzzy lock set approach. Journal of Cleaner Production, 187. https://doi.org/10.1016/j.jclepro.2018.03.161
  • Kumaranayake, A. R. (2017). Review of the current status of the studies on personality traits. Int. J. of Applied Research, 3(11), 38–45.
  • Maity, S., Chakraborty, A., De, S. K., Mondal, S. P., & Alam, S. (2018). A comprehensive study of a backlogging EOQ model with nonlinear heptagonal dense fuzzy environment. RAIRO-Oper. Res, https://doi.org/10.1051/ro/201811
  • Maity, S., De, S. K., & Mondal, S. P. (2019). A study of a backorder EOQ model for cloud-type intuitionistic dense fuzzy demand rate. International Journal of Fuzzy Systems, https://doi.org/10.1007/s40815-019-00756-1
  • Misu, N. B., & Madaleno, M. (2020). Assessment of bankruptcy risk of large companies: European countries evolution analysis. Journal of Risk and Financial Management, https://doi.org/10.3390/jrfm13030058
  • Shekarian, E., Kazemi, N., Abdul-Rashid, S. H., & Olugu, E. U. (2017, March 8–10). Fuzzy inventory models: A comprehensive review. Applied Soft Computing, 55, 588–621. https://doi.org/10.1016/j.asoc.2017.01.013
  • Shekarian, E., Olugu, U., Hanim, S., & Kazemi, N. (2016). Analyzing optimization techniques in inventory models: The case of fuzzy economic order quantity problems. Conference: Proceedings of the 2016 International Conference on Industrial Engineering and Operation Management, At: Kuala Lumpur, Malaysia.
  • Smarandache, F. (2017). Neutrosophic overset, neutrosophic underset, and neutrosophic offset, florentin smarandache similarly for neutrosophic over-/under-/off-logic. Probability and Statistics. https://doi.org/10.485500/arXiv.1607.00234
  • Taleizadeh, A. A., Safaei, A. Z., Bhattacharya, A., & Amjadian, A. (2022). Online peer-to-peer lending platform and supply chain finance decisions and strategies. Annals of Operations Research, 315(1), 397–427. https://doi.org/10.1007/s10479-022-04648-w
  • Yang, L., Zhao, Y., Wang, Y., Liu, L., Zhang, X., Li, B., & Cui, R. (2015). The effects of psychological stress on depression. Current Neuropharmacology, 13(4), 494–504. https://doi.org/10.2174/1570159X1304150831150507

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.