International Journal of
Information and Education Technology

Abstract

This study proposes a pattern classification model for usage in the vendor selection problem. The usage of classification techniques has been an area of interest in decision sciences since ages. The major challenge in classification models is that they need huge amount of data points to train the models properly and hence are not suitable for adaptation in many business applications where the number of available data points to train similar decision support models is too less. A classification technique using fuzzy linear programming and fuzzy analytic hierarchy process has been proposed in this paper which addresses this challenge for providing decision support in the vendor selection problem where data availability is a challenge.