Abstract
A bipolar fuzzy set is a powerful tool for depicting fuzziness and uncertainty. This model is more flexible and practical as compared to the fuzzy model. In this paper, we define certain notions, including a bipolar fuzzy number in the parametric form, the distance between two bipolar fuzzy number and bipolar fuzzy arithmetic. We illustrate these concepts with examples. We discuss the system of linear equations and its solution process with the right-hand side as parametric bipolar fuzzy numbers, and obtain the strong solution of the system. Further, we analyze our new approach to find the solutions of a fully bipolar fuzzy linear system of equations (FBFLSE) which is based on \((-1,1)\)-cut expansion. Moreover, by utilizing the proposed method, we determine the maximal and minimal symmetric solutions of the FBFLSEs which are based on a tolerable solution set and a controllable solution set, respectively. We also present numerical examples of our proposed FBFLSE.





Similar content being viewed by others
References
Abbasbandy S, Jafarian A (2006) Steepest descent method for system of fuzzy linear equations. Appl Math Comput 175:823–833
Abbasbandy S, Ezzati R, Jafarian A (2006) \(LU\) decomposition method for solving fuzzy system of equations. Appl Math Comput 172:633–643
Akram M (2011) Bipolar fuzzy graphs. Inf Sci 181:5548–5564
Akram M, Arshad M (2018) A novel trapezoidal bipolar fuzzy TOPSIS method for group decision-making. Group Decis Negot. https://doi.org/10.1007/s10726-018-9606-6
Alghamdi MA, Alshehri NO, Akram M (2018) Multi-criteria decision-making methods in bipolar fuzzy environment. Int J Fuzzy Syst 20(6):2057–2064
Allahviranloo T (2003) A comment on fuzzy linear systems. Fuzzy Sets Syst 140:559
Allahviranloo T (2005) Successive over relaxation iterative method for fuzzy system of linear equations. Appl Math Comput 162:189–196
Allahviranloo T, Kermani MA (2006) Solution of a fuzzy system of linear equation. Appl Math Comput 175:519–531
Allahviranloo T, Salahshour S (2011) Fuzzy symmetric solutions of fuzzy linear systems. J Comput Appl Math 235(16):4545–4553
Allahviranloo T, Ahmady E, Ahmady N, Alketaby KS (2006) Block Jacobi two-stage method with Gauss–Sidel inner iterations for fuzzy system of linear equations. Appl Math Comput 175:1217–1228
Allahviranlooa T, Salahshour S, Khezerlooa M (2011) Maximal-and minimal symmetric solutions of fully fuzzy linear systems. J Comput Appl Math 235:4652–4662
Congxin W, Ming M (1991) On embedding problem of fuzzy number spaces. Fuzzy Sets Syst 44:33–38
Dubois D, Prade H (1978) Operations on fuzzy numbers. Int J Syst Sci 9:613–626
Dubois D, Prade H (1987) Fuzzy number: an overview. In: Bezdek JC (ed) The analysis of fuzzy information, 1: mathematics. CRC Press, Boca Raton, pp 3–39
Friedman M, Ming M, Kandel A (1998) Fuzzy linear system. Fuzzy Sets Syst 96:209–261
Friedman M, Ming M, Kandel A (1998) Fuzzy linear systems. Fuzzy Sets Syst 96:201–209
Ghomashi A, Salahshour S, Hakimzadeh A (2014) Approximating solutions of fully fuzzy linear systems: a financial case study. J Intell Fuzzy Syst 26(1):367–378
Goetschel R, Voxman W (1986) Elementary calculus. Fuzzy Sets Syst 18:31–43
Kearfott RB (1996) Rigorous global search: continuous problems. Kluwer Academic Publishers, Amsterdam
Lee KM (2000) Bipolar-valued fuzzy sets and their basic operations. In: Proceedings of the international conference, Bangkok, pp 307–317
Lee KM (2004) Comparison of interval-valued fuzzy sets, intuitionistic fuzzy sets, and bipolar-valued fuzzy sets. J Fuzzy Logic Intell Syst 14:125–129
Ma M, Friedman M, Kandel A (1999) A new fuzzy arithmetic. Fuzzy Sets Syst 108:83–90
Mizumoto M, Tanaka K (1976) The four operations of arithmetic on fuzzy numbers. Syst Comput Controls 7(5):73–81
Mizumoto M, Tanaka K (1979) Some properties of fuzzy numbers. In: Gupta MM, Ragade RK, Yager RR (eds) Advances in fuzzy set theory and applications. North-Holland, Amsterdam, pp 156–164
Moghadam KG, Ghanbari R, Amiri NM (2017) Duality in bipolar triangular fuzzy number quadratic programming problems. In: Proceedings of the international conference on intelligent sustainable systems, pp 1236–1238
Nahmias S (1978) Fuzzy variables. Fuzzy Sets Syst 1:97–111
Puri ML, Ralescu D (1983) Differential for fuzzy function. J Math Anal Appl 91:552–558
Tahmasbpour A, Borzooei RA (2016) Chromatic number of bipolar fuzzy graphs. J Appl Math Inform 34:49–60
Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353
Zhang WR (1994) Bipolar fuzzy sets and relations: a computational framework for cognitive modeling and multiagent decision analysis. In: Proceedings of IEEE conference, pp 305–309
Zhang WR (1998) Bipolar fuzzy sets. In: Proceedings of FUZZ-IEEE, pp 835–840
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest regarding the publication of the research article.
Additional information
Communicated by Marcos Eduardo Valle.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Akram, M., Muhammad, G. & Allahviranloo, T. Bipolar fuzzy linear system of equations. Comp. Appl. Math. 38, 69 (2019). https://doi.org/10.1007/s40314-019-0814-8
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s40314-019-0814-8
Keywords
- Bipolar fuzzy linear system
- Fully bipolar fuzzy linear system
- Controllable solution set (CSS)
- Tolerable solution set (TSS)
- United solution set (USS)