Nonlinear Problems Like This One Can Have a Lot of Different Types of Goals, But They All Have One
Thing In Common the Goal Is to Get the Rate of Two Quadratic Objective Functions, Which Are Both Subject To
Linear Constraints, to Be As High As Possible. When a Lot of Rates Have to Be Done at the Same Time For The
Optimization, There Are Problems. Among These Are Financial and Corporate Planning, Planning For A
Hospital and Health Care Plan As Well As For Production. In the Literature, Quadratic Fractional Optimization
Has Been Getting a Lot of Attention. It Is the Most Important Problem In Both Optimization Theory And
Practise. There Were a Lot of Different Results on Quadratic Fractional Optimization. Ranking Function Is
Used to Make the Nonlinear Problem into a Crisp One, and Then Fuzzy Programming Is Used to Solve The
Crisp Problem. 2014 Was the Year That Lachhwani Looked into a Multi-Objective Quadratic Fuzzy
Optimization Problem. This Is a Way to Make Sure That You're Getting the Best Out of a Lot of Di Fferent Goal
Functions, In the Form of a Numerator and Denominator Function. Abdulrahim (2013) Looked into How To
Solve a Quadratic Fuzzy Optimization Problem Through Feasible Direction Development and a Modified
Simplex Method. Sen (2013) Came Up With a Piecewise Linear Approximation Method That Could Help Solve
A Fuzzy Separable Quadratic Optimization Problem.