A feedback analyzer system for interval valued responses on cloud services

Audience feedback measurement system is a highly researched field in the scientific and marketing community. Therefore, it is an important task to know what the customer feels about their services or goods. It is also interest to other users who want information and feedback on their services. Cloud Services are essential for up and coming entrepreneurs who want to expand their enterprises without expending too much capital on infrastructure. For this purpose, a cloud ranking or recommendation system is highly necessary to choose a cloud service provider as per their needs. Usually, available rating systems give crisp values as their output, which fails to capture the intrinsic vagueness and uncertainty naturally present while users give their feedback. The main aim of this paper is to minimize uncertainty and vagueness in fuzzy logic systems. Therefore, we propose a general type-2 fuzzy set to interval-valued responses of user ratings on cloud services. The proposed method captures the uncertainty which is present in all ratings that crisp or absolute ratings fail to capture. Specifically, we convert the type-1 fuzzy set to general type-2 fuzzy sets and extract the Z slices which represent the feedback of the users with no loss of data. In particular, we gather data from users over a period of 3 weeks and ascertain the intra- and inter-user agreement on the cloud services.