Logarithmic　and　geometric　least　squares　methods　(LLSM　and　GLSM)　are,　respectively,　applied　to　deal　with　the　group　decision　analysis　problems　with　fuzzy　preference　relations,　where　multiplicative　preference　relations,　if　any,　are　transformed　into　fuzzy　preference　relations　through　proper　transformation　technique.　Distance　between　any　two　fuzzy　preference　relations　and　the　average　distance　from　one　fuzzy　preference　relation　to　all　the　others　are　defined　and　used　to　measure　the　relative　importance　of　each　fuzzy　preference　relation.　A　numerical　example　involving　multiple　fuzzy　and　multiplicative　preference　relations　is　examined　using　the　proposed　methods.　It　is　shown　that　LLSM　and　GLSM　provide　two　analytical　and　effective　ways　of　modelling　multiple　fuzzy　preference　relations.　©　2007　Elsevier　Inc.　All　rights　reserved.