Abstract
This chapter aims to describe a stock dependent memory concerned EOQ model in fuzzy uncertain situation. Before developing the EOQ model, a brief theory of fuzzy fractional linear homogeneous differential equation inspired by Caputo H differentiability has been established in this paper. In the fuzzy fractional linear homogeneous differential equation, both the co-efficient and the initial value are assumed to be fuzzy number.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Diethelm, K., Baleanu, D., Scalas, E.: Fractional Calculus: Models and Numerical Methods. World Scientific (2012)
Mainardi, F.: Fractional Calculus, Fractals and Fractional Calculus in Continuum Mechanics (1997)
Agila, A., Baleanu, D., Eid, R., Iranfoglu, B.: Applications of the extended fractional Euler-Lagrange equations model to freely oscillating dynamical systems. Rom. J. Phys. 61, 350–359 (2016)
Podlubny, I.: Fractional Differential Equations. Academic Press, San Diego, CA (1999)
Agarwal, R.P., Lakshmikantham, V., Nieto, JJ.: On the concept of solutions for fractional differential equations with uncertainty. Non Linear Annal. 72, 2859–2862 (2010)
Hoa, N.V., Lupulescu, V., Regan, D.O.: A note on initial value problems for fractional fuzzy differential equations. Fuzzy Sets Syst. (2017). https://doi.org/10.1016/j.fss.2017.10.002
Lupulescu, V., Hoa, N.V., Regan, D.O.: Solving interval valued fractional initial value problems under Caputo gH- fractional differentiability. Fuzzy Sets Syst. (2016). https://doi.org/10.1016/j.fss.2016.09.015
Allahviranloo, T., Ahmadi, M.B.: Fuzzy Laplace transforms. Soft. Comput. 14, 235–243 (2010). https://doi.org/10.1007/s00500-008-0397-6
Salahshour, S., Allahviranloo, T.: Applications of fuzzy Laplace transforms. Soft. Comput. 17, 145–158 (2013). https://doi.org/10.1007/s00500-012-0907-4
Salahshour, S., Allahviranloo, T., Abbasbandy, S.: Solving fuzzy fractional differential equations by fuzzy Laplace transforms. Commun Nonlinear Sci. Numer. Simulat. 17, 1372–1381 (2012)
Allahviranloo, T., Salahshour, S., Abbasbandy, S.: Explicit solutions of fractional differential equations with uncertainty. Soft Comput. https://doi.org/10.1007/s00500-011-0743-y
Mazandrarami, M., VahidianKamyad, A.: Modified fractional Euler method for solving fuzzy fractional initial value problem. Commun. Nonlinear Sci. Numer. Simul. 18, 12–21 (2013)
Salahshour, S., Allahviranloo, T., Abbasbandy, S., Baleanu, D.: Existence and uniqueness results for fractional differential equations with uncertainty. Adv. Diff. Equ. 112 (2012). https://doi.org/10.1186/1687-1847-2012-112
Salahshour, S., Ahmadian, A., Senu, N., Baleanu, D., Agarwal, P.: On analytical solutions of the fractional differential equations with uncertainty: application to the Basset problem. Entropy 17, 885–902 (2015). https://doi.org/10.3390/e17020885
Pakhira, R., Ghosh, U., Sarkar, S.: Application of memory effects in an inventory model with price dependent demand rate during shortage. Int. J. Educ. Manage. Eng. 3, 51–64 (2019)
Rahaman, M., Mondal, S.P., Shaikh, A.A., et al.: Arbitrary-order economic production quantity model with and without deterioration: generalized point of view. Adv. Differ. Equ. 2020, 16 (2020). https://doi.org/10.1186/s13662-019-2465-x
Rahaman, M., Mondal, S.P., Shaikh, A.A., et al.: Artificial bee colony optimization-inspired synergetic study of fractional-order economic production quantity model. Soft. Comput. (2020). https://doi.org/10.1007/s00500-020-04867-y
Chakraborty, A., Maity, S., Jain, S., Mondal, SP., Alam, S.: Hexagonal fuzzy number and its distinctive representation, ranking, defuzzification technique and application in production inventory management problem. Granular Comput. 1–15 (2020)
Chakraborty, A., Mondal, S.P., Alam, S., Ahmadian, A., Senu, N., De, D., Salahshour, S.: The pentagonal fuzzy number: its different representations, properties, ranking, defuzzification and application in game problems. Symmetry 11(2), 248 (2019)
Mondal, S.P., Mandal, M.: Pentagonal fuzzy number, its properties and application in fuzzy equation. Future Comput. Inf. J. 2(2), 110–117 (2017)
Mondal, S.P.: Differential equation with interval valued fuzzy number and its applications. Int. J. Syst. Assurance Eng. Manage. 7(3), 370–386 (2016)
Allahviranloo, T., Abbasbandy, S., Sedaghgatfar, O., Darabi, P.: A new method for solving fuzzy integro-differential equation under generalized differentiability. Neural Comput. Appl. 21, 191–196 (2012)
Hajighasemi, S., Allahviranloo. T., Khezerloo, M., Khorasany M., Salahshour S.: Existence and uniqueness of solutions of fuzzy volterra integro-differential equations. In: Communications in Computer and Information Science, Vol. 81, Part 2, 2010, pp. 491–500, 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010, Dortmund, Germany, 28 June 2010 through 2 July 2010, Code 98056 (Conference Paper)
Gouyandeh, Z., Allahviranloo, T., Abbasbandy, S.: A fuzzy solution of heat equation under generalized Hukuhara differentiability by fuzzy Fourier transform. Fuzzy Sets Syst. 309(15), 81–97 (2017)
Allahviranloo, T., Abbasbandy, S., Rouhparvar, H.: The exact solutions of fuzzy wave-like equations with variable coefficients by a variational iteration method. Appl. Soft Comput. J. 11(2), 2186–2192 (2011)
Chehlabi, M., Allahviranloo, T.: Concreted solutions to fuzzy linear fractional differential equations. Appl. Soft Comput. J. 44, 108–116 (2016)
Allahviranloo, T., Lotfi, F.H., Kiasari, M.K., Khezerloo, M.: On the fuzzy solution of LR fuzzy linear systems. Appl. Math. Model. 37(3), 1170–1176 (2013)
Allahviranloo, T., Amirteimoori, A., Khezerloo, M., Khezerloo, S.: A new method for solving fuzzy Volterra integro-differential equations. Aust. J. Basic Appl. Sci. 5(4), 154–164 (2011)
Allahviranloo, T., Salahshour, S.: Fuzzy symmetric solutions of fuzzy linear systems. J. Comput. Appl. Math. 235(16), 4545–4553 (2011)
Allahviranloo, T., Salahshour, S., Khezerloo, M.: Maximal- and minimal symmetric solutions of fully fuzzy linear systems. J. Comput. Appl. Math. 235(16), 4652–4662 (2011)
Allahviranloo, T., Ahmady, E., Ahmady, N.: Nth-order fuzzy linear differential equations. Inf. Sci. 178(5), 1309–1324 (2008)
Allahviranloo, T., Abbasbandy, S., Ahmad, N., Ahmady, E.: Improved predictor-corrector method for solving fuzzy initial value problems. Inf. Sci. 179(7), 945–955 (2009)
Abbasbandy, S., Allahviranloo, T.: Method applied to the Fuzzy system of Fredholm integral equations of the second kind. Int. J. Uncertain. Fuzz. Knowl. Based Syst. 14(1), 101–110 (2006)
Salahshour, S., Ahmadian, A., Ismail, F., Baleanu, D., Senu, N.: A new fractional derivative for differential equation of fractional order under interval uncertainty. Adv. Mech. Eng. 7(12), 1–11 (2015)
Ahmadian, A., Chan, S., Salahshour, S., Vaitheeswaran V.: FTFBE: a numerical approximation for fuzzy time-fractional Bloch equation. In: IEEE International Conference on Fuzzy Systems, 4 September 2014, Article number 6891696, pp 418–423, 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014, Beijing, China, 6 July 2014 through 11 July 2014, Category number CFP14FUZ-ART, Code 114802
Salahshour, S., Ahmadian, A., Ismail, F., Baleanu, D.: A fractional derivative with non-singular kernel for interval-valued functions under uncertainty. Optik 130(1), 273–286 (2017)
Ahmadian, A., Salahshour, S., Ali-Akbari, M., Ismail, F., Baleanu, D.: A novel approach to approximate fractional derivative with uncertain conditions. Chaos, Solitons Fractals 104, 68–76 (2017)
Salahshour, S., Ahmadian, A., Chan, C.S.: Successive approximation method for Caputo q-fractional IVPs. Commun. Nonlinear Sci. Numer. Simul. 24(1–3), 153–158 (2015)
Rabiei, F., Ismail, F., Ahmadian, A., Salahshour S.: Numerical solution of second-order fuzzy differential equation using improved Runge-kutta nystrom method. Math. Prob. Eng., Article number 803462 (2013)
Shahriyar, M.R.B, Ismail, F., Aghabeigi, S., Ahmadian, A., Salahshour, S.: An eigenvalue-eigenvector method for solving a system of fractional differential equations with uncertainty. Math. Prob. Eng., Article number 579761 (2013)
Allahviranloo, T., Khezerloo, M., Sedaghatfar, O., Salahshour, S.: Toward the existence and uniqueness of solutions of second-order fuzzy Volterra integro-differential equations with fuzzy kernel. Neural Comput. Appl. 22(SUPPL 1), 133–141 (2013)
Allahviranloo, T., Salahshour, S.: A new approach for solving first order fuzzy differential equation. In: Communications in Computer and Information Science, vol. 81, Part 2, 2010, pp. 522–531, 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010, Dortmund, Germany, 28 June 2010 through 2 July 2010, Code 98056
Salahshour, S., Ahmadian, A., Senu, N., Baleanu, D., Agarwal, P.: On analytical solutions of the fractional differential equation with uncertainty: application to the basset problem. Entropy 17(2), 885–902 (2015)
Allahviranloo, T., Abbasbandy, S., Salahshour, S., Hakimzadeh, A.: A new method for solving fuzzy linear differential equations. Computing (Vienna/New York) 92(2), 181–197 (2011)
Salahshour, S., Ahmadian, A., Pansera, B., Ferrara, M.: Uncertain inverse problem for fractional dynamical systems using perturbed collage theorem. Commun. Nonlin. Sci. Numer. Simul. 94, Article number 105553 (2021)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Rahaman, M., Mondal, S.P., El Allaoui, A., Alam, S., Ahmadian, A., Salahshour, S. (2022). Solution Strategy for Fuzzy Fractional Order Linear Homogeneous Differential Equation by Caputo-H Differentiability and Its Application in Fuzzy EOQ Model. In: Allahviranloo, T., Salahshour, S. (eds) Advances in Fuzzy Integral and Differential Equations. Studies in Fuzziness and Soft Computing, vol 412. Springer, Cham. https://doi.org/10.1007/978-3-030-73711-5_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-73711-5_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-73710-8
Online ISBN: 978-3-030-73711-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)