Usulan Metode Penyelesaian Pemrograman Linear Fuzzy Menggunakan Informasi Metode Zimmermann

Fitriani Agustina, Lukman ., Entit Puspita

Abstract


ABSTRAK. Terdapat beberapa metode penyelesaian permasalahan pemrograman linear fuzzy yang diusulkan dan dikembangkan oleh para peneliti. Artikel ini membahas mengenai suatu usulan metode baru untuk menyelesaikan pemrograman linear fuzzy berdasarkan informasi dari metode Zimmermann. Penyelesaian pemrograman linear fuzzy menggunakan metode Zimmerman ini mempunyai kelemahan untuk penyelesaian kasus pemrograman linear fuzzy tanpa batas dan tidak ada kasus solusi. Untuk mengatasi kelemahan ini, peneliti mengusulkan metode alternatif untuk menyelesaikan pemrograman linear fuzzy dengan cara membangun fungsi keanggotaan dan menggunakan peringkat Thorani. Metode baru yang peneliti usulkan ini dinamakan metode Pengembangan Zimmermann. Hasil metode ini menunjukkan hasil yang lebih baik.

Kata Kunci: Fuzzy Linear Programming, Ranking Thorani, Zimmerman Method.

 

Proposed Solving Fuzzy Linear Programming Using Information From Zimmermann Method

ABSTRACT. There are several methods for solving fuzzy linear programming problems proposed and developed by researchers. This article discusses a proposed new method for solving fuzzy linear programming based on information from the Zimmermann method. The completion of fuzzy linear programming using the Zimmerman method has the disadvantage of resolving the case of boundless fuzzy linear programming and no case of solution. To overcome this weakness, researchers propose an alternative method to solve fuzzy linear programming by building membership functions and using Thorani ratings. The new method that the researchers propose is called Pengembangan Zimmermann method. The results of this method show better results.

Key words: Fuzzy Linear Programming, Ranking Thorani, Zimmerman Method.


Full Text:

PDF

References


. R. E., Bellman and L. A., Zadeh, Decision Making in a Fuzzy Envronment (Management Science, vol. 17, New York City, 1970), pp. 141-164. (Journal)

. H. Tanaka, Okuda and K. Asai, On fuzzy mathematical programming, Journal of Cybernetics, 3(4) (1974), 37-46. (Journal)

. Zimmermann H. J., Fuzzy Programming and Linear Programming with Several Objective Functions, Fuzzy Sets and Systems, 1 (1978) 45-55. (Journal)

. M. R. Safi, H.R. Maleki and E. Zaeimazad, A note on the Zimmermann Method for solving fuzzy linear programming problems, Iranian Journal of Fuzzy System Vol. 4, No. 2, (2007) pp. 31-45. (Journal)

. Y.I.P. Thorani and R. Shankar, Fuzzy assignment problem with generalized fuzzy numbers, Applied Mathematical Sciences, Vol. 7, 2013, no. 71, 3511-3537. (Journal)

. A. Kumar and N. Bhatia, Sensitivity Analysis for Interval-Valued Fully Fuzzy Linear Programming Problems, (Journal of Applied and Technology, vol. 10, Mexico, 2012), pp. 871-883. (Journal)

. Lukman, and Sufyani P., Sensitivity Analysis Of Linear Programming Model With Parameter Coefficients Of The Objective Function In The Form Of Triangular Fuzzy Numbers, in MSCEIS 2013 Proceeding, edited by Hertien, et.al. (Faculty of Mathematics and Science Education, Bandung, 2013), pp 45 – 50. (Proceeding)

. Thorani Y.I.P., Phani, and Ravi S., Ordering Generalized Trapezoidal Fuzzy Number, (Int. Math Sciences, vol.7, no 12, ----, 2012), pp. 555-573. (Journal)




DOI: https://doi.org/10.17509/jem.v6i2.14896

Refbacks

  • There are currently no refbacks.


Copyright (c) 2019 Fitriani Agustina, Lukman ., Entit Puspita



  

 Google Scholar Logo PNG vector in SVG, PDF, AI, CDR format