¹Department of Information Management, National Formosa University, Yunlin, 63201, Taiwan
²Department of Mathematics, Central Michigan University, Mt. Pleasant, Michigan 48859, USA
³Department of Mathematics & Computer Science, Chicago State University, Chicago, IL 60628, USA

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Abstract—The concept of discernibility thresholds in the variable precision model (VP-model) is presented to classify sets in a nonempty finite universe. Analysis of inconsistent decision table is obtained by using the tools in VP-model. The tools are obtained by the interplay among inclusion error, discernibility threshold dependency and consistency as well as lower and upper approximation with thresholds. We also provide the relationships between the inclusion errors and lower approximations with threshold.

Index Terms—Inconsistent decision tables, lower and upper approximations, discernibility, rough sets, variable precision rough set models.

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Cite: Yu-Ru Syau, En-Bing Lin, Lixing Jia, "Discernibility Thresholds and Approximate Dependency in Analysis of Decision Tables," Journal of Computers vol. 10, no. 6, pp. 412-417, 2015.