Skip to content
IJAMR International Journal of Applied Mathematical Research E-ISSN 2227-4324

Bi-Level Multi-Objective Absolute-Value Fractional programming Problems: A Fuzzy Goal Programming approach

Authors and Affiliations

  • Mansour Saraj
  • Sadegh Sadeghi

About this article

Download PDF

Abstract

In this paper we propose a fuzzy goal programming method for obtaining a satisfactory solution to a bi-level multi-objective absolute-value fractional programming (BLMO-A-FP) problems. In the proposed approach, the membership functions for the de ned fuzzy goals of all objective functions at the two levels as well as the membership functions for vector of fuzzy goals of the decision variables controlled by upper level decision maker (ULDM) are developed in the model formulation of the problem. Then fuzzy goal programming technique is used for achieving highest degree of each of the membership goals by minimizing negative and positive deviational variables. The method of variable change on the under- and over-deviational variables of the membership goals associated with the fuzzy goals of the model is introduced to solve the problem eciently by using linear goal programming methodology. Theoretical results is illustrated with the help of a numerical.

References

[1] W. Candler, R. Townsley, A linear two-level programming problem, Computer and Operations Research 9 (1982) 59–76.

[2] A. Charnes, W.W. Cooper, Management Models of Industrial Applications of Linear Programming (Appendix B), , John Wiley and Sons, New York Vol. 1(1961).

[3] W. T. Lin, A survey of goal programming applications. Omega 8 (1980) 115–117.

[4] R. H. Mohamed, The relationship between goal programming and fuzzy programming, Fuzzy Sets and Systems, 89(1997), 215–222.

[5] B.B. Pal, B.N Moitra, A goal programming procedure for multiple objective fuzzy linear fractional programming problem , Applicable Mathematics Its Perspectices and Challenges, Narosa Pub, New Delhi (2000) 347–362.

View more references (8)

[6] B.B Pal, B.N Moitra, A goal programming procedure for solving problems with multiple fuzzy goals using dynamic programming , European Journal of Operational Research, (2001)

[7] M. A. Abo-Sinha, A bi-level non-linear multi-objective decision making under fuzziness, Operation Research Society of India (OPSEARCH), 38(5)(2001) 484–495.

[8] I. A. Baky, Fuzzy goal programming algorithm for solving decentralized bi-level multi-objective programming problems, Fuzzy Sets Systems, 160(2009) 2701–2713.

[9] C. T. Chang, Fractional programming with absolute-value functions: a fuzzy goal programming approach, Applied Mathematics and Computation 167 (2005) 508-515

[10] Y.J. Lai, C.L. Hwang, Fuzzy Mathematical ProgrammingMethods and Applications, Springer, Berlin, 1993.

[11] S. Pramanik, T. Kumar Roy, Fuzzy goal programming approach to multilevel programming problems, European Journal of Operational Research 176 (2006) 1151-1166.

[12] S. Sinha, Fuzzy programming approach to multi-level programming problems, Fuzzy Sets and Systems 136 (2003) 189-202. 354 M. Saraj, S. Sadeghi

[13] C. T. Chang, An eficient linearization approach for mixedinteger problems, European Journal of Operational Research 123 (2000) 652-659.


How to Cite

Saraj, M., & Sadeghi, S. (2012). Bi-Level Multi-Objective Absolute-Value Fractional programming Problems: A Fuzzy Goal Programming approach. International Journal of Applied Mathematical Research, 1(3), 342-354. https://doi.org/10.14419/ijamr.v1i3.185