Özet:

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.

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