A New Fuzzy Model for Market Validation of Device Recycling Motor Oils

Abstract The market validation of any devices presents one of the most waste important tasks. There are many factors have a critical effect on market validation. These factors are defined by reverse logistic management team. In this paper, a new model for market validation of device for recycling is proposed which includes both quantitative and qualitative factors. In this paper, fuzzy pair-wise comparison matrix of the relative importance of factors is performed by reverse logistic team which use linguistic expressions. The factor weights are given by fuzzy AHP. The values of factor can be crisps and described by pre-defined linguistic expressions. All linguistic terms are modeled by triangular fuzzy numbers. The proposed model is verified through an illustrative example. The obtained results represent an input for future research which should include a good benchmark base for tested different devices which use in reverse logistic chains and their continuous improvement.