Fuzzy Hungarian MODI Algorithm to Solve Fully Fuzzy Transportation Problems

被引:15
|
作者
Dhanasekar, S. [1 ]
Hariharan, S. [2 ]
Sekar, P. [3 ]
机构
[1] Bharathiar Univ, VIT Univ Chennai, Sch Adv Sci, Madras, Tamil Nadu, India
[2] Amrita Univ, Amrita Vishwa Vidyapeetham, Amrita Sch Engn Coimbatore, Dept Math, Coimbatore, Tamil Nadu, India
[3] CKN Coll, Madras, Tamil Nadu, India
关键词
Fuzzy number; Triangular fuzzy number; Trapezoidal fuzzy number; Fuzzy arithmetic operations; Fuzzy transportation problems; Fuzzy optimal solution; EXTENSION PRINCIPLE;
D O I
10.1007/s40815-016-0251-4
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a new method is proposed to solve fully fuzzy transportation problems using the approach of the Hungarian and MODI algorithm. The objective of the proposed algorithm, namely, fuzzy Hungarian MODI algorithm, is to obtain the solution of fully fuzzy transportation problems involving triangular and trapezoidal fuzzy numbers. The introduced method together with Yager's ranking technique gives the optimal solution of the problem. It also satisfies the conditions of optimality, feasibility, and positive allocation of cells using the elementwise subtraction of fuzzy numbers. A comparative study of the proposed method with existing procedure reveals that the solution of the proposed method satisfies the necessary conditions of a Transportation Problem (TP) to be an optimal solution in which the other methods do not guarantee. The proposed method is the extension of the Hungarian MODI method with fuzzy values. It is easy to understand and implement, as it follows the standard steps of the regular transportation problems. The method can be extended to other kinds of fuzzy transportation problems, such as unbalanced fuzzy TP, fuzzy degeneracy problem, fuzzy TP with prohibited routes, and many more.
引用
收藏
页码:1479 / 1491
页数:13
相关论文
共 50 条
  • [1] Fuzzy Hungarian MODI Algorithm to Solve Fully Fuzzy Transportation Problems
    S. Dhanasekar
    S. Hariharan
    P. Sekar
    [J]. International Journal of Fuzzy Systems, 2017, 19 : 1479 - 1491
  • [2] A note on "Fuzzy Hungarian MODI algorithm to solve fully fuzzy transportation problems"
    Mishra, Akansha
    Kumar, Amit
    Khan, Meraj Ali
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 35 (01) : 659 - 662
  • [3] Fuzzy zero suffix algorithm to solve fully fuzzy transportation problems by using element-wise operations
    [J]. Dhanasekar, S. (dhanasekar.sundaram@vit.ac.in), 1600, Forum-Editrice Universitaria Udinese SRL (43):
  • [4] Fuzzy zero suffix algorithm to solve fully fuzzy transportation problems by using element-wise operations
    Dhanasekar, S.
    Hariharan, S.
    Gururaj, David Maxim
    [J]. ITALIAN JOURNAL OF PURE AND APPLIED MATHEMATICS, 2020, (43): : 256 - 267
  • [5] A method to solve Pythagorean fuzzy transportation problems
    Bhatia, Tanveen Kaur
    Kumar, Amit
    Appadoo, S. S.
    Sharma, M. K.
    [J]. INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2023, 14 (05) : 1847 - 1854
  • [6] A method to solve Pythagorean fuzzy transportation problems
    Tanveen Kaur Bhatia
    Amit Kumar
    S. S. Appadoo
    M. K. Sharma
    [J]. International Journal of System Assurance Engineering and Management, 2023, 14 : 1847 - 1854
  • [7] Interval Valued Intuitionistic Fuzzy Diagonal Optimal Algorithm to Solve Transportation Problems
    Rani, J. Jansi
    Manivannan, A.
    Dhanasekar, S.
    [J]. INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2023, 25 (04) : 1465 - 1479
  • [8] Interval Valued Intuitionistic Fuzzy Diagonal Optimal Algorithm to Solve Transportation Problems
    J. Jansi Rani
    A. Manivannan
    S. Dhanasekar
    [J]. International Journal of Fuzzy Systems, 2023, 25 : 1465 - 1479
  • [9] A new algorithm to solve fully fuzzy linear programming problems using the MOLP problem
    Ezzati, R.
    Khorram, E.
    Enayati, R.
    [J]. APPLIED MATHEMATICAL MODELLING, 2015, 39 (12) : 3183 - 3193
  • [10] An algorithmic approach to solve unbalanced triangular fuzzy transportation problems
    S. Muthuperumal
    P. Titus
    M. Venkatachalapathy
    [J]. Soft Computing, 2020, 24 : 18689 - 18698