Single and multiple attribute fuzzy pareto models

Pareto (ABC) analysis is a well-known technique for inventory planning and control. It divides stock-keeping units into three classes according to annual dollar usage. This paper aims at proposing single and multiple attribute fuzzy models using Pareto analysis under incomplete and vague information. A single criterion ABC analysis and two multicriteria ABC analyses based on fuzzy analytical hierarchy process (AHP) and fuzzy TOPSIS are included. Numerical examples for both single criterion and multicriteria ABC analyses are given. The problems in these examples are solved for both fuzzy and crisp cases.