FUZZY PARAMETER ESTIMATION VIA FUZZY WEIGHTS AND LINEAR PROGRAMMING

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.

DANESH SEDIGHEH; FARNOOSH RAHMAN; RAZZAGHNIA TAHEREH

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

Journal Paper

Paper Information

Journal: ADVANCES IN MATHEMATICAL MODELING Year:2016 | Volume:6 | Issue:1 Page(s): 61-80

Download Full-Text

Persian Verion

View:

1,324

Download:

Cites:

Information Journal Paper

Title

FUZZY PARAMETER ESTIMATION VIA FUZZY WEIGHTS AND LINEAR PROGRAMMING

Author(s)

DANESH SEDIGHEH | FARNOOSH RAHMAN | RAZZAGHNIA TAHEREH | Issue Writer Certificate

Keywords

FUZZY REGRESSIONQ2

LINEAR PROGRAMMINGQ2

QUADRATIC PROGRAMMINGQ2

ADAPTIVE NEURO FUZZY INFERENCE SYSTEMQ1

Abstract

FUZZY REGRESSION represents the relation between variables. FUZZY REGRESSION analysis is one of the most widely used statistical techniques. In this study, FUZZY REGRESSION is considered with the crisp input and the fuzzy output. A hybrid algorithm based on fuzzy weights and LINEAR PROGRAMMING is designed for the fuzzy nonparametric regression model prediction that function form is assumed unknown and in cases low data. In proposed method, the objective function minimizes the spread of outputs. Finally, the performance of the suggested method is compared with LINEAR PROGRAMMING (LP) and QUADRATIC PROGRAMMING (QP) methods using the numerical examples. The results demonstrate that the proposed method has more accurate than the LP and QP methods. Also, it is verified in cases of low data.

Cites

No record.

References

No record.

Cite

APA: Copy

DANESH, SEDIGHEH, FARNOOSH, RAHMAN, & RAZZAGHNIA, TAHEREH. (2016). FUZZY PARAMETER ESTIMATION VIA FUZZY WEIGHTS AND LINEAR PROGRAMMING. ADVANCES IN MATHEMATICAL MODELING, 6(1), 61-80. SID. https://sid.ir/paper/243913/en

Vancouver: Copy

DANESH SEDIGHEH, FARNOOSH RAHMAN, RAZZAGHNIA TAHEREH. FUZZY PARAMETER ESTIMATION VIA FUZZY WEIGHTS AND LINEAR PROGRAMMING. ADVANCES IN MATHEMATICAL MODELING[Internet]. 2016;6(1):61-80. Available from: https://sid.ir/paper/243913/en

IEEE: Copy

SEDIGHEH DANESH, RAHMAN FARNOOSH, and TAHEREH RAZZAGHNIA, “FUZZY PARAMETER ESTIMATION VIA FUZZY WEIGHTS AND LINEAR PROGRAMMING,” ADVANCES IN MATHEMATICAL MODELING, vol. 6, no. 1, pp. 61–80, 2016, [Online]. Available: https://sid.ir/paper/243913/en

Related Journal Papers