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From Equilibrium-Based Business Intelligence to Information Conservational Quantum-Fuzzy Cryptography —A Cellular Transformation of Bipolar Fuzzy Sets to Quantum Intelligence Machinery
IEEE Transactions on Fuzzy Systems ( IF 11.9 ) Pub Date : 2018-04-01 , DOI: 10.1109/tfuzz.2017.2687408
Wen-Ran Zhang

A cellular transformation of bipolar fuzzy sets to quantum intelligence (QI) machinery is presented based on an axiomatic formulation of equilibrium-based business intelligence (EBBI) and information conservational quantum-fuzzy cryptography (ICQFC). It is proven that any active bipolar cognitive map can be normalized to a bipolar quantum-fuzzy cognitive map—the logical equivalent of an information conservational bipolar quantum-fuzzy logic gate for equilibrium-based quantum cellular rebalancing. Such rebalancing leads to EBBI and ICQFC—an unexpected combination with unexpected synergy. Applicability of one EBBI algorithm and two ICQFC algorithms are illustrated. Information theoretic security and scalability of ICQFC are proved as a computational intelligence testbed for postquantum cryptography. It is argued that, while the illogical aspect of quantum mechanics prevents quantum computing from lending itself as an analytical paradigm, EBBI and ICQFC constitute a cellular transformation of bipolar fuzzy sets to high precision QI machinery—an equilibrium-based analytical paradigm for ubiquitous quantum modeling and quantum-digital compatible computing. A QI architecture is drafted. A QI transfer protocol is illustrated with ICQFC for EBBI. QI is, thus, distinguished by its ubiquitous, analytical, transferable, and quantum-digital compatible properties. It is asserted that QI as the most generic genre of intelligence underpins artificial and biological intelligence with mathematical, philosophical, and scientific distinctions. It is expected that through QI the research field of fuzzy sets and systems is destined to advance to the forefront of modern science including but not limited to brain science and quantum information science.

中文翻译:

从基于均衡的商业智能到信息守恒量子模糊密码学——双极模糊集到量子智能机器的细胞转换

基于基于平衡的商业智能 (EBBI) 和信息守恒量子模糊密码学 (ICQFC) 的公理公式,提出了双极模糊集到量子智能 (QI) 机器的细胞转换。事实证明,任何活跃的双极认知图都可以归一化为双极量子模糊认知图——信息守恒双极量子模糊逻辑门的逻辑等价物,用于基于平衡的量子细胞再平衡。这种重新平衡导致了 EBBI 和 ICQFC——一种意想不到的组合与意想不到的协同作用。说明了一种 EBBI 算法和两种 ICQFC 算法的适用性。ICQFC 的信息论安全性和可扩展性被证明是后量子密码学的计算智能测试平台。有说法认为,虽然量子力学的不合逻辑方面阻止了量子计算本身作为一种分析范式,但 EBBI 和 ICQFC 构成了双极模糊集到高精度 QI 机器的细胞转换——一种基于平衡的分析范式,用于无处不在的量子建模和量子数字兼容计算。起草了 QI 架构。使用用于 EBBI 的 ICQFC 说明了 QI 传输协议。因此,QI 以其无处不在、可分析、可转移和量子数字兼容的特性而著称。有人断言,QI 作为最通用的智能类型,以数学、哲学和科学的区别支撑了人工智能和生物智能。
更新日期:2018-04-01
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