RT - Journal Article
T1 - A NEW APPROACH FOR SOLVING FULLY FUZZY QUADRATIC PROGRAMMING PROBLEMS
JF - IUST
YR - 2020
JO - IUST
VO - 10
IS - 2
UR - http://ijoce.iust.ac.ir/article-1-437-en.html
SP - 333
EP - 344
K1 - Fully Fuzzy Quadratic
K1 - L-R Fuzzy Numbers
K1 - Taylor Series
K1 - Fully Fuzzy Linear Programming
K1 - Ranking Function
K1 - Linear Programming
K1 - Fuzzy Optimal Solution.
AB - 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.
LA eng
UL http://ijoce.iust.ac.ir/article-1-437-en.html
M3
ER -