Dumlupınar Üniversitesi Sosyal Bilimler Dergisi

Öz

For last 60-70 years, in academic and
practice areas, more efficient and applicable solutions have been tried to be
obtained by developing fuzzy / possibilistic mathematical programming methods.
instead of deterministic ones. Compromise solutions for specific
satisfaction levels can be found with Multiple Objective Decision Making
approaches in uncertain environment, Decision maker can also point out the changes
in satisfaction levels of goals and compromise solutions according to usage of
resources with Interactive Multiple Objective Decision Making approaches and thus
has many alternatives in trade-off decisions related to the changes and a possibility
for more flexible decision making. In this
paper, an overview to “Interactive Fuzzy / Possibilistic Single / Multiple
Objective Mathematical Programming” approaches is presented. At the same time,
the need and advantages of these major approaches which can be used in various
combinations are pointed out with their justifications and the issue of that
why decision makers have to consider and use them in real-world is emphasized. There
is a lack on real-world based studies integrating fuzzy / possibilistic
uncertainty with interactive and multiple objective approaches. In this
context, it is evaluated that important contributions can be made with
different field / sector applications.