We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

Fuzzy Multi Objective Assignment Linear Programming Problem based on L-R fuzzy Numbers

by Y. L. P.thorani, N. Ravi Shankar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 63 - Number 5
Year of Publication: 2013
Authors: Y. L. P.thorani, N. Ravi Shankar
10.5120/10466-5185

Y. L. P.thorani, N. Ravi Shankar . Fuzzy Multi Objective Assignment Linear Programming Problem based on L-R fuzzy Numbers. International Journal of Computer Applications. 63, 5 ( February 2013), 38-49. DOI=10.5120/10466-5185

@article{ 10.5120/10466-5185,
author = { Y. L. P.thorani, N. Ravi Shankar },
title = { Fuzzy Multi Objective Assignment Linear Programming Problem based on L-R fuzzy Numbers },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 63 },
number = { 5 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 38-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume63/number5/10466-5185/ },
doi = { 10.5120/10466-5185 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:13:23.959999+05:30
%A Y. L. P.thorani
%A N. Ravi Shankar
%T Fuzzy Multi Objective Assignment Linear Programming Problem based on L-R fuzzy Numbers
%J International Journal of Computer Applications
%@ 0975-8887
%V 63
%N 5
%P 38-49
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Transportation and assignment models play significant role in logistics and supply chain management for reducing cost and time, for better service. In this paper, a fuzzy multi objective assignment problem using linear programming model is developed. The reference functions of L-R fuzzy numbers of fuzzy multi objective assignment problem are considered being linear and non-linear functions. This paper develops a procedure to derive the fuzzy objective value of the fuzzy multi objective assignment problem, in that the fuzzy cost coefficients, the fuzzy time and fuzzy quality are L-R fuzzy numbers. The method is illustrated with an example by various cases.

References
  1. Hiller, S. F. , Liberman, J. G. (2001). Introduction to Operation Research, 7th ed. , Mcgraw Hill, Boston.
  2. Taha, A. H. (1992). Operation Research, an introduction, 5th ed. , Macmillan, Basingstoke Hampshire.
  3. Murthy, P. R. (2007). Operation Research, 2nd ed. , New Age International Limited, New Delhi.
  4. Swarup, K. , Gupta, P. K. , and Mohan, M. (2003). Operation Research, 11th ed. , Sultan Chand and sons, New Delhi.
  5. Ravindran, A. , Don T. Phillips and Tames J. Solberg. (1987). Operation Research 2nd edition, John Wiley and Sons.
  6. Ravindran, A. and Ramaswamy,V. (1977). On the bottleneck assignment problem, Journal of Optimization Theory and Applications, 21, 451-458.
  7. Bao, C. P. , and Tasi, M. (2007). A new approach to study the multi objective assignment problem. WHAMPOA-An Interdisciplinary Journal, 53, 123-132.
  8. Lin, J. C. , Wen, P. U. (2004). A labeling algorithm for the fuzzy assignment problem. Fuzzy Sets and Systems, 142, 373-391.
  9. Chen, M. S. (1985). On a fuzzy assignment problem. Tamkang Journal, 22, 407-411.
  10. Wang, X. (1987) Fuzzy optimal assignment problem. Fuzzy Mathematics, 3,101-108.
  11. Mukherjee, S. , Basu, K. (2010). Application of fuzzy ranking method for solving assignment problem with fuzzy costs. International Journal of Computational and Applied Mathematics, 5(3), 359-368.
  12. Yager, R. R. (1981). A procedure for ordering fuzzy subsets of the unit interval. Information Sciences, 24, 143- 161.
  13. Geetha, S. , Nair, K. P. K. (1993). A variation of assignment problem. European Journal of Operation Research, 68, 422-426.
  14. Bit, A. K. , Biswal, M. P. and Alam, S. S. (1992). Fuzzy programming approach to multi criteria decision making transportation problem, Fuzzy Sets and Systems, 50, 135-141.
  15. Tsai, C. H. , Wei, C. C. , and Cheng, C. L. (1999). Multi objective fuzzy deployment of manpower. International Journal of the Computer, the Internet and Management, 7(2), 1-7.
  16. Kagade, K. L. , Bajaj, V. H. (2009). Fuzzy approach with linear and some non-linear membership functions for solving multi-objective assignment problems. Advances in Computational Research, 1(2), 14-17.
  17. Kagade, K. L. , Bajaj, V. H. (2010). Fuzzy method for solving multi objective assignment problem with interval cost. Journal of Statistics and Mathematics, 1(1), 01-09.
  18. Verma , R. , Biswal M. P. and Biswas, A. (1997). Fuzzy programming technique to solve multi-objective transportation problems with some non-linear membership functions, Fuzzy Sets and Systems, 91,37-43.
  19. Dhingra A. K. and Moskowitz H. (1991). Application of fuzzy theories to multiple objective decision making in system design, European Journal of Operational Research, 55, 348-361.
  20. Dubois D, Prade H. (1980). Fuzzy sets and systems: theory and applications. Academic Press, New York.
Index Terms

Computer Science
Information Sciences

Keywords

Multi objective assignment Yager's ranking index L-R fuzzy numbers linear programming.