LAUSR

Interval-valued fuzzy soft set-based decision making and the related parameter reduction algorithms were proposed. However, up to the present, few documents have focused the entire model for evaluation and decision making on real-life applications of interval-valued fuzzy soft set. Accordingly, we propose a new and complete model based on interval-valued fuzzy soft set for evaluation systems, which consists of four parts: data collection and preprocess, decision making, parameter reduction, combination of data sets and further decision making, and apply it to three real-life evaluation systems, such as the Sydney Apartment Evaluation System, Lanzhou’s University Evaluation System, and Australia Universities Evaluation System. From the experimental result, the proposed model is a good solution for real-life evaluation systems.