Categorical Analytics Based On Consensus Theory
Main Article Content
Keywords
Consensus theory, uncertainty, information theory, category, entropy, evidence, combination of evidence, structured analytics, Dempster’s rule
Abstract
Categorical analytics is an admixture of computational methods with the express purpose of facilitating the multifaceted process of unstructured decision making. The complex subject is based on consensus theory and includes structured analytics, categories, entropy, and the combination of evidence. The methodology is applicable to a wide range of business, economic, social, political, and strategic decisions. The paper includes an election application to demonstrate the concepts.
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