A new method to solve linear programming problems in the environment of picture fuzzy sets

Document Type : Research Paper

Authors

1 Department of Mathematics, University of the Punjab, New Campus, Lahore 4590, Pakistan

2 Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey

Abstract

Picture fuzzy set is characterized by neutral membership function along with the membership and non-membership functions, and is, therefore, more general than the intuitionistic fuzzy set which is only characterized by membership and non-membership functions. In this paper, first, we are going to point out a drawback and try to fix it by the existing trapezoidal picture fuzzy number. Furthermore, we define an $LR$ flat picture fuzzy number, which is a generalization of trapezoidal picture fuzzy numbers. We also discuss a linear programming model with $LR$ flat picture fuzzy numbers as parameters and variables and present a method to solve these type of problems using a generalized ranking function.

Keywords


[1] M. Akram, A. Habib, J. C. R. Alcantud, An optimization study based on Dijkstra algorithm for a network with trapezoidal picture fuzzy numbers, Neural Computing and Applications, 33 (2021), 1329-1342.
[2] M. Akram, I. Ullah, S. A. Edalatpanah, T. Allahviranloo, Fully Pythagorean fuzzy linear programming problems with equality constraints, Computational and Applied Mathematics, 40 (2021), 120.
[3] M. Akram, I. Ullah, S. A. Edalatpanah, T. Allahviranloo, LR-type Pythagorean fuzzy linear programming problems, Journal of Intelligent and Fuzzy Systems, 41(1) (2021), 1975-1992.
[4] T. Allahviranloo, Uncertain information and linear systems, Studies in Systems, Decision and Control, Springer, 2020.
[5] T. Allahviranloo, F. H. Lotfi, M. K. Kiasary, N. A. Kiani, L. A. Zadeh, Solving fully fuzzy linear programming problem by the ranking function, Applied Mathematical Sciences, 2(1) (2008), 19-32.
[6] P. P. Angelov, Optimization in an intuitionistic fuzzy environment, Fuzzy Sets and Systems, 86(3) (1997), 299-306.
[7] K. T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20 (1986), 87-96.
[8] R. E. Bellman, L. A. Zadeh, Decision making in a fuzzy environment, Management Science, 17 (1970), 141-164.
[9] B. C. Cuong, Picture fuzzy sets-first results, Part 1, In: Seminar neuro-fuzzy systems with applications. Preprint 03/2013. Institute of Mathematics, Vietnam Acadmy of Science and Technology, Hanoi-Vietnam, 2013.
[10] B. Farahbakhsh, S. H. Moosavirad, Y. Asadi, A. Amirbeig, Developing a fuzzy programming model for improving outpatient appointment scheduling, Iranian Journal of Fuzzy Systems, 18(4) (2021), 169-184.
[11] J. Kaur, A. Kumar, Mehar’s method for solving fully fuzzy linear programming problems with LR fuzzy parameters, Applied Mathematical Modelling, 37 (2013), 7142-7153.
[12] J. Kaur, A. Kumar, An introduction to fuzzy linear programming problems, Springer Science and Business Media LLC, 2016.
[13] A. Kumar, J. Kaur, Fuzzy optimal solution of fully fuzzy linear programming problems using ranking function, Journal of Intelligent and Fuzzy Systems, 26 (2014), 337-344.
[14] F. H. Lotfi, T. Allahviranloo, M. A. Jondabeh, L. A. Zadeh, Solving a full fuzzy linear programming using lexicography method and fuzzy approximate solution, Applied Mathematical Modelling, 33(7) (2009), 3151-3156.
[15] B. Pérez-Cańedo, E. R. Concepción-Morales, On LR-type fully intuitionistic fuzzy linear programming with inequality constraints: Solutions with unique optimal values, Expert Systems with Applications, 128 (2019), 246-255.
[16] B. Pérez-Cańedo, E. R. Concepción-Morales, S. A. Edalatpanah, A revised version of a lexicographical-based method for solving fully fuzzy linear programming problems with inequality constraints, Fuzzy Information and Engineering, (2020), 1-20. DOI:10.1080/16168658.2020.1761511.
[17] M. Qiyas, S. Abdullah, S. Ashraf, S. Khan, A. Khan, Triangular picture fuzzy linguistic induced ordered weighted aggregation operators and its application on decision making problems, Mathematical Foundations of Computing, 2(3) (2019), 183-201.
[18] V. Singh, S. P. Yadav, Development and optimization of unrestricted LR-type intuitionistic fuzzy mathematical programming problems, Expert Systems with Applications, 80 (2017), 147-161.
[19] H. Tanaka, T. Okudu, K. Asai, On fuzzy-mathematical programming, Journal of Cybernetics, 3(4) (1973), 37-46.
[20] L. A. Zadeh, Fuzzy sets, Information and Control, 8 (1965), 338-353.
[21] M. Zangiabadi, H. R. Maleki, Fuzzy goal programming technique to solve multiobjective transportation problems with some non-linear membership functions, Iranian Journal of Fuzzy Systems, 10(1) (2013), 61-74.
[22] H. J. Zimmerman, Fuzzy programming and linear programming with several objective functions, Fuzzy Sets and Systems, 1(1) (1978), 45-55.