人的量子图里亚姆四向认知分析

Prem Kumar Singh
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引用次数: 0

摘要

最近,Turiyam集被引入到真、假和不确定区域以外的数据集的表征中。这个集合能够表示人类量子认知的未知、未定义或导管隐喻。其中一个例子是,美俄冲突或冷战超出了输赢的描述。这完全是基于美国和俄罗斯的管道隐喻。在这种情况下,一组可能支持俄罗斯(Sr)的国家可以被表征为真正的地区。一组不支持俄罗斯(即支持美国)的国家可以被定性为虚假地区(Su)。一组国家在给定的情况下同时支持俄罗斯和美国。这些类型的国家和他们的投票是不确定的。第四种情况是印度、中国、阿联酋等一些国家不选择任何东西来实现他们的管道隐喻。它被称为Turiyam或四维认知。四维数据的表征及其图形化是当前研究人员的重要任务之一。为了解决这个问题,本文将尝试引入一种方法,通过定义的区间集来表征这种未定义的、未知的或Turiyam认知。目标是提供一种方法来探索它们在已知图(t),未知图(f),部分图(i)或未知图(l)的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Four Way Human Quantum Turiyam Cognition Analysis
Recently, the Turiyam set was introduced for characterization of data sets beyond true, false and uncertain regions. This set is able to represent unknown, undefined, or conduit metaphor of human quantum cognition. One of the examples is USA-Russia conflicts or Cold war is beyond the characterization of win, draw or loss. It is totally based on the conduit metaphor of USA and Russia. In this case, a set of countries may support Russia (Sr) can be characterized as true regions. A set of countries does not support Russia (i.e. supporting the USA) can be characterized as false regions (Su). A set of countries supports both Russia-USA based on the given situation. These types of countries and their vote is uncertain. The fourth case is some countries like India, China, UAE choose nothing to fulfill their conduit metaphor. It is called Turiyam or four dimension cognition. The characterization of this four dimension data and its graphical visualization is one of the crucial tasks for the current researchers. To tackle this issue, the current paper will try to introduce a method for characterization of this undefined, unknown or Turiyam cognition via a defined interval-set. The objective is to provide a way to explore them in known graph (t), not known graph (f), partial graph (i) or unknown graph (l) with an example. 
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CiteScore
8.70
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