My problem has two objectives. Both are conflicting with each other. But I have transformed them into minimizing type by taking the difference between the desired and the obtained.
Now from the set of solutions I have to find the optimal using fuzzy. Please help me in this even with any other alternative.
I think you could use the multi-criteria technic,
It refers to the analysis of a set of n decision variables in a problem with a set of k objective functions for optimization, and a set of constraints m. The objective functions and restrictions are functions of decision variables.
F (x) = [F1(x),F2 (x),...Fk(x)]
e(x) = [e1(x),e2 (x),...em(x)]≥0
where x = [x1,x2,….xn]ϵ X
y = [y1,y2,….yk]ϵ Y
have a look at this Thesis
https://www.researchgate.net/publication/272823617_PhD_Thesis_Alireza_Soroudi?ev=prf_pub
Data PhD Thesis Alireza Soroudi, Architecture des réseaux de dist...
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