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Probabilistic models considering dependent relation in reasoning for decision-making

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Abstract

This paper proposes a fuzzy dependence-index for construction of the probabilistic models considering dependent relation for solving the reasoning problem. It is important for constructing the joint probability-distribution to consider the dependency of events. We consider that some vagueness is included in the dependency. Because causal relationship of among events is uncertain, it is difficult to express dependency as definite value. In this paper, we classify the dependent relations, and apply the fuzzy probability to calculation of the dependence-index. Then, the fuzzy dependence-index is defined to consider dependency with fuzziness. Using the fuzzy dependence-index, we calculate the joint probability of multi-events for constructing the probabilistic model.

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Correspondence to Rumiko Azuma.

Additional information

This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008

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Azuma, R., Miyagi, H. Probabilistic models considering dependent relation in reasoning for decision-making. Artif Life Robotics 13, 228–233 (2008). https://doi.org/10.1007/s10015-008-0551-3

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  • DOI: https://doi.org/10.1007/s10015-008-0551-3

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