TY - JOUR
JF - IUST
JO -
VL - 10
IS - 2
PY - 2020
Y1 - 2020/4/01
TI - A NEW APPROACH FOR SOLVING FULLY FUZZY QUADRATIC PROGRAMMING PROBLEMS
TT -
N2 - 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.
SP - 333
EP - 344
AU - Abd El-Wahed Khalifa, H.
AD -
KW - Fully Fuzzy Quadratic
KW - L-R Fuzzy Numbers
KW - Taylor Series
KW - Fully Fuzzy Linear Programming
KW - Ranking Function
KW - Linear Programming
KW - Fuzzy Optimal Solution.
UR - http://ijoce.iust.ac.ir/article-1-437-en.html
ER -