Selection of internet assessment vendor using TOPSIS method in fuzzy environment

In recent days an explosion in demand is being resulted for internet-based assessment solutions. The number of internet assessment vendors has increased dramatically, and they differ widely in offerings, capabilities, technology, assessment expertise, customer support and other factors. Choosing an appropriate vendor capable of fulfilling various needs and become a value-added partner can seem somewhat daunting. Conventional approaches for selection and evaluation of vendors separately tend to be less effective in dealing with the imprecise of attributes assessment individually. Hence, this study aims to propose an effective integrated fuzzy multi-attribute group decision making (FMAGDM) approach to deal both qualitative and quantitative attributes associated with internet assessment vendor selection criteria’s. In this paper, a technique for order preference by similarity to ideal solution (TOPSIS) method has been adopted in a fuzzy environment for selection and ranking of internet assessment vendor based on decision makers’ linguistic viewpoint on various criteria attributes. Generalised trapezoidal fuzzy numbers are used to express linguistic variables that consider making a fuzzy decision matrix. A numerical illustration has been reported to illustrate the procedural hierarchy of fuzzy-TOPSIS method in relation to a vendor selection problem.