Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9663796 | European Journal of Operational Research | 2005 | 12 Pages |
Abstract
To formulate a fuzzy compromise programming problem from a possibilistic multiobjective linear programming problem the fuzzy ideal solution concept is introduced. This concept is based on soft preference and indifference relationships and on canonical representation of fuzzy numbers by means of their α-cuts. The accuracy between the ideal solution and the objective values is evaluated handling the fuzzy parameters through their expected intervals and a definition of discrepancy between intervals is introduced in our analysis.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
M. Arenas Parra, A. Bilbao Terol, B. Pérez Gladish, M.V. RodrıÌguez UrıÌa,