Abstract
MOP and CP works efficiently for moderate size problems defined within a well structured environment. However for large size problems defined within complex contexts, this kind of approach has very little interest and it becomes necessary to resort to more flexible decisional approaches. Goal Programming (GP) emerges within this pragmatic line.
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© 1998 Springer Science+Business Media New York
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Ballestero, E., Romero, C. (1998). Satisficing MCDM Approaches: Goal Programming. In: Multiple Criteria Decision Making and its Applications to Economic Problems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2827-9_3
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DOI: https://doi.org/10.1007/978-1-4757-2827-9_3
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5053-6
Online ISBN: 978-1-4757-2827-9
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