Architecting a fully fuzzy information model for multi-level quadratically constrained quadratic programming problem

OPSEARCH ◽  
2019 ◽  
Vol 56 (2) ◽  
pp. 367-389 ◽  
Author(s):  
Hawaf AbdAlhakim ◽  
O. E. Emam ◽  
A. A. Abd El-Mageed
2016 ◽  
Vol 15 (5) ◽  
pp. 6738-6748 ◽  
Author(s):  
Usama Emam

This paper proposes an algorithm to solve multi-level multi-objective quadratic programming problem with fuzzy parameters in the objective functions, This algorithm uses the tolerance membership function concepts and multi-objective optimization at each level to develop a fuzzy Max-Min decision model for generating satisfactory solution after applying linear ranking method on trapezoidal fuzzy numbers in the objective functions, An illustrative example is included to explain the results.


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