Abstract
In this paper, the concepts of supremum and infimum of bounded Fuzzy integer set are given, their existence is proved, and their expressions formula in level set form are set up. Then some fixed point theorems for Fuzzy integer value mapping are obtained, and a balance problem is proposed. And then, using the new theories established by us about Fuzzy integers and Fuzzy integer value mappings, we give two examples (one is about the protection of some animal species whose surviving numbers are declining year by year, and the other one is about sustainable production problems to some kind of renewable energy) to show the optimal management method for the proposed balance problem.
Similar content being viewed by others
References
Abbasa, M., Turkoglub, D.: Fixed point theorem for a generalized contractive Fuzzy mapping. J. Intell. Fuzzy Syst. 26, 33–36 (2014)
Aǧak, K., Zolfaghari, S.: Mathematical models for parallel two-sided assembly line balancing problems and extensions. Int. J. Prod. Res. 53(4), 1242–1254 (2015)
Arotaritei, D., Ionescu, F.: Fuzzy Voronoi diagram for disjoint Fuzzy numbers of dimension two. J. Intell. Fuzzy Syst. 26, 1253–1262 (2014)
Casasnovas, J., Riera, J.V.: Discrete Fuzzy numbers defined on a subset of natural numbers. Theor. Adv. Appl. Fuzzy Logic Soft Comput Adv. Soft Comput. 42, 573–582 (2007)
Casasnovas, J., Riera, J.V.: Extension of discrete t-norms and t-conorms to discrete Fuzzy numbers. Fuzzy Sets Syst. 167(1), 65–81 (2011)
Chang, S.S.L., Zadeh, L.A.: On Fuzzy mappings and control. IEEE Trans. Syst. Man Cybern. 2, 30–34 (1972)
Chang, C., Huang, G., Lin, B., Chuah, C.: LEISURE: load-balanced network-wide traffic measurement and monitor placement. IEEE Trans. Parallel Distrib. Systemsvol. 26(4), 1059–1070 (2015)
Coroianu, L., Gagolewski, M., Grzegorzewski, P.: Nearest piecewise linear approximation of Fuzzy numbers. Fuzzy Sets Syst. 233, 26–51 (2014)
Gupta, A., Pandey, N.: Common fixed point theorems for four Fuzzy mappings. Int. J. Anal. Appl. 6(1), 97–112 (2014)
Hamta, N., Shirazi, M.A., Ghomi, S.M.T.F., Behdad, S.: Supply chain network optimization considering assembly line balancing and demand uncertainty. Int. J. Prod. Res. 53(10), 2970–2994 (2015)
Kim, J.H., Lall, S.: Explicit solutions to separable problems in optimal cooperative control. IEEE Trans. Autom. Control 60(5), 1304–1319 (2015)
Kulkarni, A.A., Coleman, T.P.: An optimizers approach to stochastic control problems with nonclassical information structures. IEEE Trans. Autom. Control 60(4), 937–949 (2015)
Lin, X., Cassandras, C.G.: An optimal control approach to the multi-agent persistent monitoring problem in two-dimensional spaces. IEEE Trans. Autom. Control 60(6), 1659–1664 (2015)
Massanet, S., Riera, J.V., Torrens, J., Viedma, E.H.: A new linguistic computational model based on discrete Fuzzy numbers for computing with words. Inf. Sci. 258, 277–290 (2014)
Mosadegha, H., Ghomia, S.M.T.F., Zandieh, M.: Simultaneous solving of balancing and sequencing problems in mixed-model assembly line systems. Int. J. Prod. Res. 50(18), 4994–5016 (2012)
Nahir, A., Orda, A., Raz, D.: Replication-based load balancing. IEEE Trans. Parallel Distrib. Syst. doi:10.1109/TPDS.2015.2400456
Nan, J.X., Zhang, M.J., Li, D.F.: Intuitionistic Fuzzy programming models for matrix games with payoffs of trapezoidal intuitionistic Fuzzy numbers. Int. J. Fuzzy Syst. 16(4), 444–456 (2014)
Ohtsuka, T.: A recursive elimination method for finite-horizon optimal control problems of discrete-time rational systems. IEEE Trans. Autom. Control 59(11), 3081–3086 (2014)
Özceylan, E., Paksoy, T.: Fuzzy mathematical programming approaches for reverse supply chain optimization with disassembly line balancing problem. J. Intell. Fuzzy Syst. 26, 1969–1985 (2014)
Paksoy, T., Güngör, A., Özceylan, E., Hancilar, A.: Mixed model disassembly line balancing problem with Fuzzy goals. Int. J. Prod. Res. 51(20), 6082–6096 (2013)
Rai, R.N., Devi, V.M.: General contractive mapping condition of Fuzzy meiric spaces in fixed point theorem. J. Math. Stat. 10(1), 65–72 (2014)
Riera, J.V., Torrens, J.: Residual implications on the set of discrete Fuzzy numbers. Inf. Sci. 247, 131–143 (2013)
Riera, J.V., Torrens, J.: Aggregation functions on the set of discrete Fuzzy numbers defined from a pair of discrete aggregations. Fuzzy Sets Syst. 241, 76–93 (2014)
Shukla, S., Chauhan, S.: Fuzzy cyclic contraction and fixed point theorems. J. Egypt. Math. Soc. 23, 139–143 (2015)
Turkoglu, D., Sangurlub, M.: Fixed point theorems for Fuzzy \(\psi -\)contractive mappings in Fuzzy metric spaces. J. Intell. Fuzzy Syst. 26, 137–142 (2014)
Voxman, W.: Canonical representations of discrete Fuzzy numbers. Fuzzy Sets Syst. 118, 457–466 (2001)
Wang, G., Wang, J.: Trapezoid and triangle Fuzzy integers and their applications. ICIC Express Lett. 9(2), 365–370 (2015)
Wang, G., Shi, P., Messenger, P.: Representation of uncertain multichannel digital signal spaces and study of pattern recognition based on metrics and difference values on Fuzzy cell number spaces. J. IEEE Trans. Fuzzy Systemsvol. 17(2), 421–439 (2009)
Wang, G., Shi, P., Wen, C.: Fuzzy approximation relations on Fuzzy n-cell number space and their applications in classification. Inf. Sci. 181, 3846–3860 (2011)
Wang, G., Shi, P., Wang, B., Zhang, J.: Fuzzy-ellipsoid numbers and representations of uncertain multichannel digital information. J. IEEE Trans. Fuzzy Syst. 22(5), 1113–1126 (2014)
Wang, G., Nan Q., Li, J.: Fuzzy integers and methods of constructing them to represent uncertain or imprecise integer information. Int. J. Innov. Comput. Inf. Control. 11(4), 1483-1494 (2015)
Wang, G., Shi, P., Xie, Y., Shi, Y.: Two-dimensional discrete Fuzzy numbers and applications. Inf. Sci. 326, 258–269 (2016)
Wang, G., Wu, Z., Xiong, J.: A linear-quadratic optimal control problem of forward-backward stochastic differential equations with partial information. IEEE Trans. Autom. Control. doi:10.1109/TAC.2015.2411871
Zhao, J., Yang, K., Wei, X., Ding, Y., Hu, L., Xu, G.: A heuristic clustering-based task deployment approach for load balancing using bayes theorem in cloud environment. IEEE Trans. Parallel Distrib. Syst. doi:10.1109/TPDS.2015.2402655
Acknowledgments
This work is partially supported by the Nature Science Foundation of China (Nos. 61433001 and 61273077).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Wang, G., Han, Y. & Li, X. Fixed Point Theorems of Fuzzy Integer Value Mappings and Optimization Management to Balance Problem. Int. J. Fuzzy Syst. 19, 829–837 (2017). https://doi.org/10.1007/s40815-016-0211-z
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40815-016-0211-z