Abstract
Two dependent evidences can be viewed as resulted from orthogonal sum of one dependent original evidence and two independent original evidences, respectively. The original method has so many iterations and big calculation, based on these disadvantages, a fast combination method for dependent evidences in the framework of hyper-power sets is proposed in this paper. Equipollent classic Dezert-Smarandache (DSm) rule of combination can be got through importing the commonality function, according to the results of model analysis, theorem proving and example comparison show the feasibility and effectiveness of the proposed method.
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Jing, Z., Xin, G., Haiqiao, L. (2019). Fast Combination Method for Dependent Evidences in the Framework of Hyper-Power Sets. In: Zhang, X. (eds) The Proceedings of the 2018 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2018). APISAT 2018. Lecture Notes in Electrical Engineering, vol 459. Springer, Singapore. https://doi.org/10.1007/978-981-13-3305-7_166
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DOI: https://doi.org/10.1007/978-981-13-3305-7_166
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