Data　envelopment　analysis　(DEA)　methodology　has　recently　been　applied　to　weight　derivation　in　the　analytic　hierarchy　process　(AHP).　This　paper　proposes　a　cross-weight　evaluation　technique,　which　is　similar　to　the　cross-efficiency　evaluation　in　DEA,　for　priority　determination　in　the　AHP.　The　cross-weight　evaluation　produces　true　weights　for　perfectly　consistent　pairwise　comparison　matrices　and　logical　weights　for　inconsistent　pairwise　comparison　matrices.　Numerical　examples　are　examined　to　illustrate　the　advantages　and　potential　applications　of　the　cross-weight　evaluation　in　priority　determination　in　the　AHP.