Applying interval-valued data and methods, researchers have made solid accomplishments in information processing and uncertainty management. Although interval-valued statistics and probability are available for interval-valued data, current inferential decision making schemes rely on point-valued statistic and probabilistic measures mostly. To enable direct applications of these point-valued schemes on interval-valued datasets, we present point-valued variational statistics, probability, and entropy for interval-valued datasets. Related algorithms are reported with illustrative examples.
CITATION STYLE
Hu, C., & Hu, Z. H. (2020). On Statistics, Probability, and Entropy of Interval-Valued Datasets. In Communications in Computer and Information Science (Vol. 1239 CCIS, pp. 407–421). Springer. https://doi.org/10.1007/978-3-030-50153-2_31
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