Volume 10, Issue 2 (4-2020)
IJOCE 2020, 10(2): 333-344 |
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Abd El-Wahed Khalifa H. A NEW APPROACH FOR SOLVING FULLY FUZZY QUADRATIC PROGRAMMING PROBLEMS. IJOCE 2020; 10 (2) :333-344
URL: http://ijoce.iust.ac.ir/article-1-437-en.html
URL: http://ijoce.iust.ac.ir/article-1-437-en.html
Abstract: (10233 Views)
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.
Keywords: Fully Fuzzy Quadratic, L-R Fuzzy Numbers, Taylor Series, Fully Fuzzy Linear Programming, Ranking Function, Linear Programming, Fuzzy Optimal Solution.
Type of Study: Research |
Subject:
Optimal analysis
Received: 2020/03/19 | Accepted: 2020/03/19 | Published: 2020/03/19
Received: 2020/03/19 | Accepted: 2020/03/19 | Published: 2020/03/19
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