A real-life application faces various kinds of inherent uncertainties which occurs simultaneously. To find solution, formulating real world problem into mathematical programming model is challenging. Uncertain parameters in a problem model can be characterized as vagueness, ambiguous and random of the information. Such uncertainties make the existing multi-objective model incapable of handling such situations. Thus, in this paper we present the multi-objective decision model from the perspective of possibilistic programming approach to scrutinize the uncertainties in the decision making. The proposed concept can be used to build model for multi-objective problem which is exposed with various types of uncertainties. We include an illustrative example to explain the model, and highlight its advantages.
|ホスト出版物のタイトル||IEEE International Conference on Fuzzy Systems|
|出版ステータス||Published - 2013|
|イベント||2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013 - Hyderabad|
継続期間: 2013 7月 7 → 2013 7月 10
|Other||2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013|
|Period||13/7/7 → 13/7/10|
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