Akademik Veri Yönetim Sistemi
4th International Conference on Pure and Applied Sciences: Renewable Energy, İstanbul, Türkiye, 23 - 25 Kasım 2017, cilt.1
Abstract
It seems that most
approaches to the solution of multi-objective linear or non-linear programming
problems, except fuzzy approaches, take into account the knowledge, experience
or preferences of the decision maker. In this case, decision maker gives
weights to every objectives and multi-objective programming is reduced to a
single-purpose programming problem with the sum of weights. Appropriate
solutions are selected by the decision maker from the optimal solutions
obtained by solving the single-objective programming problem. In many cases however
decision makers can’t determine weights when uncertainty exist in information
or decision maker can compare their weights that determined to weights that calculated by
proposed in this study. Determining the weights can be a separate problem .
In this study, in order
to solve the multi-objective programming problem, we have proposed an approach
that determines weights of objectives to lead the way to the decision maker
preferences. We have given through-provoking examples for the effectiveness of
the approach that we have suggested.
Key words:
Multi-objective Programming, Weights, Decision Making