面向可解释性人工智能与大数据的模糊系统发展展望

doi:10.11959/j.issn.2096-6652.201937

Abstract

Abstract:

As a universal approximator with strong interpretability,fuzzy system has been widely used in various fields.Although the current theoretical research on fuzzy system is not mature enough,there are still many problems such as too many rules,optimization difficulties,dimension curse,which make it difficult to deal with high-dimensional large data.Although deep neural network has made remarkable progress and can process large data such as image and voice very well,its interpretability is not good and it is difficult to be used in important security-related occasions.Therefore,it is necessary to study an interpretable artificial intelligence algorithm based on fuzzy system.Combining the advantages of deep neural network and fuzzy system,it is possible to solve the problem of high dimensional and large data by studying the deep fuzzy system and its algorithm.The development history and research progress of fuzzy system separately was mainly reviews,and its future development direction according to its existing problems was pointed out,and the summary of this article and the prospect for further research about the problems were given.

Key words: fuzzy system, interpretable artificial intelligence, high-dimensional big data, deep fuzzy system, neuro fuzzy system

CLC Number:

TP391.41，TP273

Dewang CHEN,Jijie CAI,Yunhu HUANG. Development prospect of fuzzy system oriented to interpretable artificial intelligence and big data[J]. Chinese Journal of Intelligent Science and Technology, 2019, 1(4): 327-334.

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References 51

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第二次兴起代表人物	第二次兴起代表人物
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Development prospect of fuzzy system oriented to interpretable artificial intelligence and big data

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