Application of Case-based Reasoning Methodology to Bingo Lottery Benchmark Model

The paper is dedicated to the problem of application the case based reasoning methodology to decision making problem under risk. As a benchmark problem the Bingo lottery problem has been considered. The attention is focused on the problem of modeling uncertainty parameters and similarity measure. General fuzzy trapezoidal numbers (GFTN) are proposed for modeling parameters with imprecise interval representation. The Shi-Jay-Chen similarity measure is applied for evaluating similarity of imprecise parameters. The spreadsheet simulation model has been implemented for verification of the proposed models. The similarity measure sensitivity analysis of interval size and confidence degree is done