Abstract:In this paper a Large-Scale three level fractional problem is considered with random rough coefficient in objective function, in order to solve this problem, The intervals technique used to convert rough nature in objective into equivalent crisp , Then Tailor Series transformation is used to convert the Large-Scale three level fractional to an equivalent three level linear programming problem , then a Traditional Method used to constructed solution of the three-level programming problem, then we will use Decom… Show more
“…A three level fractional programming problem with a random rough coefficient in constraints was considered [7]. At the first phase of the solution approaches and to avoid the complexity of the problem, fractional programming problems were converted into a linear model problem using Charnes & Cooper method.…”
Section: On Solving Three Level Fractional Programming Problem With Rough Coefficient In Constraintsmentioning
confidence: 99%
“…where solves A solution algorithm to solve the TLFPRIC problems ( ) -( ) is described in a series of steps as follows [7]:…”
Section: Problem Formulation and Solution Conceptmentioning
confidence: 99%
“…Omran et al [7] presented an algorithm for solving a three level fractional programming problem with rough coefficient in constraints.…”
This research states a survey on formulation of linear programming problems with rough intervals coefficients in the objective functions and constraints, basic preliminaries about rough intervals, interval method and trust probability constraints for transforming rough intervals to crisp nature and fully rough intervals problems. Finally, presents different operational research models that contain rough intervals coefficients.
“…A three level fractional programming problem with a random rough coefficient in constraints was considered [7]. At the first phase of the solution approaches and to avoid the complexity of the problem, fractional programming problems were converted into a linear model problem using Charnes & Cooper method.…”
Section: On Solving Three Level Fractional Programming Problem With Rough Coefficient In Constraintsmentioning
confidence: 99%
“…where solves A solution algorithm to solve the TLFPRIC problems ( ) -( ) is described in a series of steps as follows [7]:…”
Section: Problem Formulation and Solution Conceptmentioning
confidence: 99%
“…Omran et al [7] presented an algorithm for solving a three level fractional programming problem with rough coefficient in constraints.…”
This research states a survey on formulation of linear programming problems with rough intervals coefficients in the objective functions and constraints, basic preliminaries about rough intervals, interval method and trust probability constraints for transforming rough intervals to crisp nature and fully rough intervals problems. Finally, presents different operational research models that contain rough intervals coefficients.
Due to the importance of the multi-level fully rough interval linear programming (MLFRILP) problem to address a wide range of management and optimization challenges in practical applications, such as policymaking, supply chain management, energy management, and so on, few researchers have specifically discussed this point. This paper presents an easy and systematic roadmap of studies of the currently available literature on rough multi-level programming problems and improvements related to group procedures in seven basic categories for future researchers and also introduces the concept of multi-level fully rough interval optimization. We start remodeling the problem into its sixteen crisp linear programming LP problems using the interval method and slice sum method. All crisp LPs can be reduced to four crisp LPs. In addition, three different optimization techniques were used to solve the complex multi-level linear programming issues. A numerical example is also provided to further clarify each strategy. Finally, we have a comparison of the methods used for solving the MLFRILP problem.
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