An Algorithm for Solving Fuzzy Relation Programming with the Max-T Composition Operator

Volume: 5 Number: 1 June 1, 2015
  • A. A. Molai
EN

An Algorithm for Solving Fuzzy Relation Programming with the Max-T Composition Operator

Abstract

This paper studies the problem of minimizing a linear objective functionsubject to max-T fuzzy relation equation constraints where T is a special class of pseudot-norms. Some sufficient conditions are presented for determination of its optimal solutions. Some procedures are also suggested to simplify the original problem. Somesufficient conditions are given for uniqueness of its optimal solution. Finally, an algorithm is proposed to Şnd its optimal solution

Keywords

References

  1. Abbasi Molai, A. and Khorram, E., (2008), An algorithm for solving fuzzy relation equations with max-T composition operator, Inform. Sci., 178, pp. 1293-1308.
  2. Czogala, E. and Predrycz, W., (1981), On identiŞcation in fuzzy systems and its applications in control problems, Fuzz. Sets Syst., 6, pp. 73-83.
  3. Fang, S.C. and Li, G., (1999), Solving fuzzy relation equations with a linear objective function, Fuzz. Sets Syst., 103, pp. 107-113.
  4. Guu, S.M. and Wu, Y.K., (2002), Minimizing a linear objective function with fuzzy relation equation constraints, Fuzz. Optim. Decis. Mak., 1(4), pp. 347-360.
  5. Guu, S.M. and Wu, Y.K., (2010), Minimizing a linear objective function under a max-t-norm fuzzy relational equation constraint, Fuzz. Sets Syst., 161, pp. 285-297.
  6. Han, S.C. and Li, H.X., (2005), Notes on ”Pseudo-t-norms and implication operators on a complete
  7. Brouwerian lattice” and ”Pseudo-t-norms and implication operators: direct products and decomposi- tions”, Fuzz. Sets Syst., 153, pp. 289-294. Han, S.-C., Li, H.-X. and Wang, J.-Y., (2006), Resolution of Şnite fuzzy relation equations based on strong pseudo-t-norms, Appl. Math. Let., 19, pp. 752-757.
  8. Klir, G.J. and Folger, T.A., (1988), Fuzzy sets, uncertainty, and information, Prentice Hall, New Jersey.

Details

Primary Language

English

Subjects

-

Journal Section

-

Authors

A. A. Molai This is me

Publication Date

June 1, 2015

Submission Date

-

Acceptance Date

-

Published in Issue

Year 2015 Volume: 5 Number: 1

APA
Molai, A. A. (2015). An Algorithm for Solving Fuzzy Relation Programming with the Max-T Composition Operator. TWMS Journal of Applied and Engineering Mathematics, 5(1), 21-29. https://izlik.org/JA57XK25CB
AMA
1.Molai AA. An Algorithm for Solving Fuzzy Relation Programming with the Max-T Composition Operator. JAEM. 2015;5(1):21-29. https://izlik.org/JA57XK25CB
Chicago
Molai, A. A. 2015. “An Algorithm for Solving Fuzzy Relation Programming With the Max-T Composition Operator”. TWMS Journal of Applied and Engineering Mathematics 5 (1): 21-29. https://izlik.org/JA57XK25CB.
EndNote
Molai AA (June 1, 2015) An Algorithm for Solving Fuzzy Relation Programming with the Max-T Composition Operator. TWMS Journal of Applied and Engineering Mathematics 5 1 21–29.
IEEE
[1]A. A. Molai, “An Algorithm for Solving Fuzzy Relation Programming with the Max-T Composition Operator”, JAEM, vol. 5, no. 1, pp. 21–29, June 2015, [Online]. Available: https://izlik.org/JA57XK25CB
ISNAD
Molai, A. A. “An Algorithm for Solving Fuzzy Relation Programming With the Max-T Composition Operator”. TWMS Journal of Applied and Engineering Mathematics 5/1 (June 1, 2015): 21-29. https://izlik.org/JA57XK25CB.
JAMA
1.Molai AA. An Algorithm for Solving Fuzzy Relation Programming with the Max-T Composition Operator. JAEM. 2015;5:21–29.
MLA
Molai, A. A. “An Algorithm for Solving Fuzzy Relation Programming With the Max-T Composition Operator”. TWMS Journal of Applied and Engineering Mathematics, vol. 5, no. 1, June 2015, pp. 21-29, https://izlik.org/JA57XK25CB.
Vancouver
1.A. A. Molai. An Algorithm for Solving Fuzzy Relation Programming with the Max-T Composition Operator. JAEM [Internet]. 2015 Jun. 1;5(1):21-9. Available from: https://izlik.org/JA57XK25CB