Article ID: | iaor20021914 |
Country: | Japan |
Volume: | 44 |
Issue: | 3 |
Start Page Number: | 220 |
End Page Number: | 229 |
Publication Date: | Sep 2001 |
Journal: | Journal of the Operations Research Society of Japan |
Authors: | Tanaka Hideo, Guo Peijun, Entani Tomoe |
Keywords: | decision, information, programming: linear |
In this paper, multi-source possibilistic information is represented by a set of possibilistic constraints to characterize decision variables from different information aspects. Possibilistic linear programming is used to integrate multi-source possibilistic information into the upper and lower possibility distributions of decision vector.