1 Introduction Consider that a customer looks for a hotel near to sea World hotels H= thi, h2, h3, h4 A={a1} attraction-site(e. g. Sea World) Spatial Layout Price Decision-Making table Hotel Distance-to- Price() Hotel Price (S h SeaWorld (km) 100 3.0 h3 is dominated by h1 1.0 250 00 a set of all"best"possible hotels 220 2.5 220 skyline: a set of hotels which are not Skyline thy, h2, h4l dominated by other hotels1. Introduction Hotel Price ($) h1 100 h2 250 h3 200 h4 220 6 H = {h1 , h2 , h3 , h4} A = {a1} hotels attraction-site (e.g., Sea World) h4 a1 h2 h3 h1 Spatial Layout Price Hotel Distance-to￾SeaWorld (km) Price ($) h1 3.0 100 h2 1.0 250 h3 4.0 200 h4 2.5 220 Decision-Making Table Consider that a customer looks for a hotel near to Sea World Skyline: a set of hotels which are not dominated by other hotels Skyline = {h1 , h2 , h4} h3 is dominated by h1 A set of all “best” possible hotels