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Showing 3 results for Gholizadeh
Mrs. Mana Andarkhora, Dr. Amirhossein Azadnia, Dr. Saeid Gholizadeh, Dr. Pezhman Ghadimi,
Volume 10, Issue 1 (7-2019)
Abstract
One important step to achieve a sustainable transportation system is to control the impact and evaluate the effect of various influencing factors toward three dimensions of sustainability. Within this context, diverse analytical approaches have been developed to assess the sustainability level of various transportation systems, however, sustainability evaluation based on fuzzy multiple criteria decision-making approaches are still limited. In current research activity, an integrated quantitative evaluation technique is proposed to narrow the identified gap. The developed decision-making approach is consisted of two main phases. Firstly, fuzzy analytic hierarchy process is utilized to weigh the sustainability dimensions resulting in the incorporation of the experts’ knowledge along with the evaluation process. Then, a proposed fuzzy inference mechanism is proposed to provide an indication on the performance of an evaluated road transportation system. The developed approach is applied on a real-world case study. Finally, future works are presented together with some concluding remarks.
Masomeh Gholizadeh, Babak Khabiri, Gohar Shakouri,
Volume 16, Issue 1 (3-2025)
Abstract
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.
Masomeh Gholizadeh, Gohar Shakouri, Babak Khabiri,
Volume 17, Issue 1 (5-2026)
Abstract
In this research, a Multi-Objective Linear Programming model with fuzzy goals is addressed. We review two existing methods to _nd the solution for the Fuzzy Multi-Objective Linear Programming problem. We discuss some advantages and shortcomings of the solving methods; accordingly, we recommend the preferred model. More- over, we propose a revision of the conventional point of view about the process of finding the solution of these kinds of problems and present the results regarding the two mentioned methods. A numerical example is provided to illustrate our approach.
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