用模糊认知图建模黑钱与贫困的智能方案

S. Das, M. Sanyal, Debamoy Datta
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引用次数: 1

摘要

世界经济,它与贫穷和黑钱的联系,一直是一个不为人知的故事,曾经在塑造我们的社会方面做出了重大贡献,但在过去的几个世纪里,只有很少的科学分析。近十年来,人们再次将注意力转向这些话题,并对迄今为止发展的数学模型无法准确描述的各种问题进行了深入研究。形成这门科学的主要工具是模糊认知地图。它已被应用于广泛的领域,包括决策、管理和研究不同的复杂过程,其中测量不可用或不精确。这个工具可以用来模拟一个在实验上不可行的非常复杂的过程。目前的研究围绕着这样一个事实,即使用FCM以及过程背后的直觉,可以开发出高度精确的模型,以非常小的不确定性准确预测未来。与经济相关的各种概念已经被用来发展这个模型,结果是惊人的,基于这个结果,解决当今的问题也被提出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling an Intelligent Schemes for Black Money versus Poverty Using Fuzzy Cognitive Map
The economy of the world, its association with poverty and black money has been a long untold story that used to have a major contribution in shaping our society but only a little scientific analysis was available in past centuries. In the present decade, the focus has again been diverted to these topics and an in-depth study has been made on various issues that can’t be described exactly by the mathematical models developed so far. The major tool in shaping this science is Fuzzy Cognitive maps. It has been applied to wide areas including decision-making, managing, and study of the different complicated processes where measurements are not available or imprecise. This tool can be used to simulate a very complicated process that is experimentally infeasible. The present study revolves around the fact that using FCM along with the intuition behind the process, highly accurate models can be developed that exactly predicts the future with a very minimal degree of uncertainty. Various concepts related to the economy has been used to develop this model and results are astounding, based on the results solution to the present-day problems has also been proposed.
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