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A fuzzy-based recommendation system for cloud accounting service

As an emerging cloud service, cloud accounting can offer accounting solution and save much operation cost, which becomes popular among enterprises of all sizes. Facing with different cloud accounting providers, consumers with little domain knowledge have difficulties in choosing the suitable provider that can match their requirements. Therefore, developing a recommendation system can be a good way to differentiate various suppliers. While there is little history purchasing information in the newly-developed cloud accounting market, the paper proposes a reclusive-approach recommendation system, using only preference information of user of interest. This personalized recommendation system is able to measure and rate the alternative cloud accounting providers in terms of the ability to satisfy the certain consumer preferences. In the proposed system, triangular fuzzy set is used to help both consumers express their preferences and experts evaluate provider ability. Example results show that the system is feasible and reliable.