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Solution to A-C-F-L-P Based on Fuzzy Structured Element

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Fuzzy Information and Engineering Volume 2

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 62))

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Abstract

In this paper, we construct a model of All-coefficient-fuzzy Linear Programming Based on Fuzzy Structured Element, in which all the objective function and constraint coefficients are triangular (or trapezoidal) fuzzy numbers. A new ranking criterion of fuzzy numbers is defined which is based on the method of structured element. According to this ranking criterion, fuzzy linear programming is transformed into classical linear programming, and then the rationality of the theory is proved. Compared with the other methods, the solution is superior to the other solutions and this method has fewer number of constraints. The calculation progress is simple, effectiveness and extensive application of this method. Finally, we give a numerical example to show the efficiency of this algorithm.

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References

  1. Rommelfanger, H.: Fuzzy linear programming and applications. Europan Journal of Operational Research 92, 512–527 (1996)

    Article  MATH  Google Scholar 

  2. Maleki, H.R., Tata, M., Mashinchi, M.: Linear programming with fuzzy variables. Fuzzy Sets and Systems 109, 21–33 (2001)

    Article  MathSciNet  Google Scholar 

  3. Rommelfanger, H., Hanuscheck, R., Wolf, J.: Linear programming with fuzzy objectives. Fuzzy Sets and Systems 29, 31–48 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  4. Wang, R.C., Liang, T.F.: Application of fuzzy multi-objective linear programming of aggregate production planning. Computers and Industrial Engineering 46, 17–41 (2004)

    Article  Google Scholar 

  5. Delgado, M., Verdegay, J.L., Vila: A general model for fuzzy linear programming. Fuzzy Sets and Systems 29, 21–29 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  6. Dubois, D., Prade, H.: Ranking of fuzzy numbers in the setting of possibility theory. Information Sciences 30, 183–224 (1983)

    Article  MATH  MathSciNet  Google Scholar 

  7. Tanaka, H., Asai, K.: A formulation of fuzzy linear programming based on comparison of fuzzy number. Control and Cybernet. 13, 185–194 (1984)

    MATH  MathSciNet  Google Scholar 

  8. Zhang, Z.K.: Application of automatization technology in fuzzy mathematics. Tsinghua University Press, Beijing (1997)

    Google Scholar 

  9. Li, R.J.: Theory and application of fuzzy multiple criteria decision making. Scientific Press, Beijing (2002)

    Google Scholar 

  10. Zeng, Q.N.: All coefficient fuzzy linear programming with equations. Fuzzy System and Mathematics (2000)

    Google Scholar 

  11. Song, Y.X., Jing, L.P., Chen, J.Y.: Fuzzy Optimal Interval Value for a Fuzzy Linear Programming Model. Fuzzy System and Mathematics (2002)

    Google Scholar 

  12. Guo, S.Z.: Homeomorphic property between fuzzy number space and family of standard bounded monotone function. Progress in Natural Science (2004)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Zhao, Hk., Guo, Sz. (2009). Solution to A-C-F-L-P Based on Fuzzy Structured Element. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_169

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  • DOI: https://doi.org/10.1007/978-3-642-03664-4_169

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03663-7

  • Online ISBN: 978-3-642-03664-4

  • eBook Packages: EngineeringEngineering (R0)

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