Presentation New Approaches to Improve the Determination of Feasible Solutions of the Interval Linear Fractional Programming Problem

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Salary Pour Sharif Abad F.; ALLAHDADI M.; MISHMAST NEHI H.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Operational Research in its Applications Year:2021 | Volume:18 | Issue:3 (70) Page(s): 31-48

Download Full-Text

Persian Verion

View:

140

Download:

Cites:

Information Journal Paper

Title

Presentation New Approaches to Improve the Determination of Feasible Solutions of the Interval Linear Fractional Programming Problem

Author(s)

Salary Pour Sharif Abad F. | ALLAHDADI M. | MISHMAST NEHI H. | Issue Writer Certificate

Keywords

Interval Linear Fractional Programming

Feasibility

Uncertainty

Optimal Solution Set

Abstract

In this research, the Interval Linear Fractional Programming model is considered. Since this model is an interval model, hence we are looking for methods where an Optimal Solution Set is obtained. In this paper, we suggest two methods for the determination Optimal Solution Set of the ILFP model so that these methods are formed from two sub-models. The obtained solutions solving these two sub-models form a region that we consider it as Optimal Solution Set of the ILFP. If the obtained solution satisfies in largest region of interval constraints of the ILFP model, the solution is called feasible. In the first method, we gain an Optimal Solution Set that some of its points may not satisfy some constraints of the largest region, hence we use an alternative method to improve the Optimal Solution Set such that we will able to remove the infeasible part of the Optimal Solution Set of the first method by an alternative method and obtain a feasible Optimal Solution Set. In the second method, to ensure that the Optimal Solution Set is completely feasible, we add a supplementary constraint to the second sub-model and we obtain a feasible Optimal Solution Set.

Cites

No record.

References

No record.

Cite

APA: Copy

Salary Pour Sharif Abad, F., ALLAHDADI, M., & MISHMAST NEHI, H.. (2021). Presentation New Approaches to Improve the Determination of Feasible Solutions of the Interval Linear Fractional Programming Problem. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), 18(3 (70) ), 31-48. SID. https://sid.ir/paper/950537/en

Vancouver: Copy

Salary Pour Sharif Abad F., ALLAHDADI M., MISHMAST NEHI H.. Presentation New Approaches to Improve the Determination of Feasible Solutions of the Interval Linear Fractional Programming Problem. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)[Internet]. 2021;18(3 (70) ):31-48. Available from: https://sid.ir/paper/950537/en

IEEE: Copy

F. Salary Pour Sharif Abad, M. ALLAHDADI, and H. MISHMAST NEHI, “Presentation New Approaches to Improve the Determination of Feasible Solutions of the Interval Linear Fractional Programming Problem,” JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), vol. 18, no. 3 (70) , pp. 31–48, 2021, [Online]. Available: https://sid.ir/paper/950537/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops