One　of　the　key　issues　in　the　theory　of　ordered　weighted　averaging　(OWA)　operators　is　the　determination　of　OWA　operator　weights.　In　this　paper,　a　minimax　disparity　approach　for　obtaining　OWA　operator　weights　is　proposed.　This　involves　the　formulation　and　solution　of　a　linear　programming　(LP)　model　for　a　given　degree　of　orness.　The　proposed　approach　generates　the　OWA　operator　weights　by　minimizing　the　maximum　difference　between　any　two　adjacent　weights.　A　numerical　example　is　provided　to　illustrate　the　application　of　the　proposed　approach　in　generating　viable　OWA　operator　weights　in　a　simple　and　effective　way.　©　2004　Elsevier　Inc.　All　rights　reserved.