Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Industrial Engineering and Engineering Management |
| Publisher | IEEE Computer Society |
| Pages | 2204-2208 |
| Number of pages | 5 |
| ISBN (Print) | 9781467329453 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | 2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012 - Hong Kong Duration: 2012 Dec 10 → 2012 Dec 13 |
Other
| Other | 2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012 |
|---|---|
| City | Hong Kong |
| Period | 12/12/10 → 12/12/13 |
Keywords
- fuzzy random coefficient
- Multi-objective evaluation
- necessity measure
- possibilistic programming
ASJC Scopus subject areas
- Business, Management and Accounting (miscellaneous)
- Industrial and Manufacturing Engineering
- Safety, Risk, Reliability and Quality