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The classification process is a decision-making task. In order to obtain a good decision, the classification process needs to be conducted by following a standard framework or approach. The selection of a good parameterization method plays an important role in executing an effective parameterization process. The parameterization process will generate an optimized parameter reduction set that helps the classifier in generating a significant result. However, the size and characteristics of the dataset might also influence the generation of results in the classification process. The process of parameterization becomes more complex when the dataset is big and consists of uncertain and inconsistent data. Therefore, these problems need to be considered during the decision-making process. Many solutions have been provided recently by researchers, but most of the research works did not consider the highlighted issues …