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How subjective information with AI for digital revolution
Journal of Intelligent & Fuzzy Systems ( IF 2 ) Pub Date : 2021-08-17 , DOI: 10.3233/jifs-211624
Shaopei Lin 1 , Wei Zhu 2
Affiliation  

This paper summarizes the relationship of subjective information with artificial intelligence (AI) technology and points out how the role of subjective information and its position in AI. Eventually, the characteristic of digital era is the “softening of the theories and hardening of the experiences”. Subjective information is widely used in digital revolution for transforming the qualitative estimations into quasi-quantitative solutions, such as the empirical methods in decision making for quantitative management, etc., it will be the transferor for realizing it. The theoretical formulation of how subjective information is digitized through “Fuzzy-AI Model” for digital revolution is presented in this paper; it has becoming a universal problem solver of utilizing AI technology for quantizing the degree uncertainties in decision-making and fuzzy estimation. Besides, the “Big Data” searching will heavily depend on the completeness of its source information, yet “subjective information” approach can directly predict human thinking or the internal law of complicated objective events into an explicit digital form, for the completeness of source information to make the correct and comprehensive “Big Data” prediction possible. Practical case studies are presented.

中文翻译:

人工智能如何利用主观信息进行数字革命

本文总结了主观信息与人工智能(AI)技术的关系,并指出了主观信息在人工智能中的作用及其地位。归根结底,数字时代的特征是“理论软化,体验硬化”。主观信息在数字革命中被广泛用于将定性估计转化为准定量解决方案,例如定量管理决策中的经验方法等,它将成为实现它的传递者。本文提出了通过“模糊人工智能模型”将主观信息数字化以实现数字革命的理论表述;它已成为利用人工智能技术量化决策和模糊估计中的不确定性程度的通用问题解决者。此外,“大数据”搜索在很大程度上依赖于其源信息的完整性,而“主观信息”方法可以直接将人的思维或复杂客观事件的内在规律预测为明确的数字形式,以保证源信息的完整性。使正确和全面的“大数据”预测成为可能。介绍了实际案例研究。源信息的完整性,使正确、全面的“大数据”预测成为可能。介绍了实际案例研究。源信息的完整性,使正确、全面的“大数据”预测成为可能。介绍了实际案例研究。
更新日期:2021-08-20
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