Priority　ranking　and　aggregation　are　two　major　concerns　of　fuzzy　preference　relations.　This　paper　focuses　on　the　aggregation　of　fuzzy　preference　relations　and　presents　two　optimization　aggregation　approaches　to　determine　the　relative　weights　of　individual　fuzzy　preference　relations　so　that　they　can　be　aggregated　into　a　collective　fuzzy　preference　relation　in　an　additively　optimal　manner.　Multiplicative　preference　relations　can　also　be　incorporated　into　the　two　optimization　aggregation　approaches,　but　need　to　be　transformed　into　fuzzy　format　using　appropriate　transformation　techniques.　The　proposed　two　approaches　are　tested　and　examined　with　two　numerical　examples　and　prove　to　be　simple,　effective　and　practical.　(c)　2007　Elsevier　Ltd.　All　rights　reserved.