دوره 10، شماره 2 - ( 2-1399 )                   جلد 10 شماره 2 صفحات 344-333 | برگشت به فهرست نسخه ها

XML English Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Abd El-Wahed Khalifa H. A NEW APPROACH FOR SOLVING FULLY FUZZY QUADRATIC PROGRAMMING PROBLEMS. International Journal of Optimization in Civil Engineering 2020; 10 (2) :333-344
URL: http://ijoce.iust.ac.ir/article-1-437-fa.html
A NEW APPROACH FOR SOLVING FULLY FUZZY QUADRATIC PROGRAMMING PROBLEMS. عنوان نشریه. 1399; 10 (2) :333-344

URL: http://ijoce.iust.ac.ir/article-1-437-fa.html


چکیده:   (9256 مشاهده)
Quadratic programming (QP) is an optimization problem wherein one minimizes (or maximizes) a quadratic function of a finite number of decision variable subject to a finite number of linear inequality and/ or equality constraints. In this paper, a quadratic programming problem (FFQP) is considered in which all cost coefficients, constraints coefficients, and right hand side are characterized by L-R fuzzy numbers. The FFQP problem is converted into the fully fuzzy linear programming using the Taylor series and hence into a linear programming problem which may be solved by applying GAMS Software. Finally, an example is given to illustrate the practically and the efficiency of the method.
متن کامل [PDF 541 kb]   (3805 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: Optimal analysis
دریافت: 1398/12/29 | پذیرش: 1398/12/29 | انتشار: 1398/12/29

ارسال نظر درباره این مقاله : نام کاربری یا پست الکترونیک شما:
CAPTCHA

بازنشر اطلاعات
Creative Commons License این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است.

کلیه حقوق این وب سایت متعلق به دانشگاه علم و صنعت ایران می باشد.

طراحی و برنامه نویسی : یکتاوب افزار شرق

© 2024 CC BY-NC 4.0 | Iran University of Science & Technology

Designed & Developed by : Yektaweb