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:: Volume 16, Issue 1 (3-2025) ::
IJOR 2025, 16(1): 0-0 Back to browse issues page
A new approach for solving fuzzy linear programming problems using a k-scale ordering method
Masomeh Gholizadeh , Babak Khabiri , Gohar Shakouri *
Rahman Institute of Higher Education, Ramsar, Iran , gshakoori2@gmail.com
Abstract:   (3 Views)
In this paper, we deal with a fully fuzzy linear programming (FFLP) when the constraints are described as equality and inequality. With respect to Hadi method which is a new and a comfortable ranking method for ordering the trapezoidal fuzzy numbers, we introduce a new ranking function. We show that this function has some smooth properties when we use it for new classes of the trapezoidal fuzzy numbers which we called them k-scale trapezoidal fuzzy numbers. The k- scale trapezoidal fuzzy numbers are in fact a generalization of symmetric trapezoidal fuzzy numbers. Based on this ranking function, a new method is proposed to find the fuzzy solution for solving k-scale FFLP. Numerical examples are providing to illustrate the method.

 
Keywords: Fully fuzzy linear programming, Trapezoidal fuzzy numbers, Hadi ranking method.
     
Type of Study: Applicable | Subject: Fuzzy Sets and Systems
Received: 2025/06/10 | Accepted: 2025/09/12 | Published: 2025/09/12
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 16, Issue 1 (3-2025) Back to browse issues page
مجله انجمن ایرانی تحقیق در عملیات Iranian Journal of Operations Research
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