A　multiple　index　optimization　method　for　ERT　sensors　is　put　forward　which　combines　an　orthogonal　design　and　fuzzy　analysis.　This　method　first　establishes　a　scientific　and　proper　fuzzy　evaluation　method　using　fuzzy　mathematics　to　define　ERT　index　satisfaction　(ERTIS)　and　overall　ERT　index　satisfaction　(OERTIS)　and　to　construct　their　satisfaction　functions.　It　unifies　all　of　ERT　sensor　indices　into　a　single　comparable　satisfaction　value.　Then,　the　OERTIS　analysis　is　developed　which　allows　a　set　of　multiple　index　orthogonal　experiments　to　be　transferred　into　a　single　index　orthogonal　experiment.　Where,　the　uniformity　index　and　the　correlation　coefficient　index　of　the　ERT　sensor　are　set　as　the　optimization　objectives.　The　experiments　are　set　up　based　on　multi-index　orthogonal　design.　The　experimental　results　indicate　that　the　method　can　derive　an　evenly　distributed　sensitivity　field　and　a　better　image　with　the　optimized　sensors,　and　improve　the　OERTIS　of　the　ERT　sensors　by　13.75%.　(c)　2013　Elsevier　Ltd.　All　rights　reserved.