Article Details

A Study of Algorithmic Approaches for Fuzzy Pattern Quadratic Fraction | Original Article

Akshay Deshmukh*, Jaya Singh Kushwah, in Journal of Advances and Scholarly Researches in Allied Education | Multidisciplinary Academic Research

ABSTRACT:

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.