Cognitive and Non-cognitive States in Romeo and Juliet’s Love Model and Its Chaotic Behaviors by Complex Fuzzy Numbers

IF 3.6 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Jin Hee Yoon, Youngchul Bae
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引用次数: 0

Abstract

When a person feels some emotion such as happiness, sadness, or love, the person consciously knows that such feelings appear, or it is done unconsciously, and sometimes it appears as a compound result of the two. In this paper, these two are defined as cognition and noncognition. By applying these two to the fuzzy love model using complex fuzzy numbers, we observe the chaotic behavior that appears in this model. We verify chaotic behaviors in the love model with fuzzy triangular and trapezoidal external forces using phase portrait and bifurcation diagram. The love model is known as the differential equation that can represent how a person feels love with respect to the time when the positive or negative external force is changed. Because love is a person’s feeling that includes vagueness and ambiguity of human emotion. Even more the external force also can express some external influence that is also can be human’s response. Because a person’s feeling is vague and ambiguous, fuzzy valued sinusoidal functions and Gaussian have been used to express those feelings and external forces.

Abstract Image

罗密欧与朱丽叶爱情模型中的认知和非认知状态及其复杂模糊数的混沌行为
当一个人感受到某种情感,如快乐、悲伤或爱时,他会有意识地知道这种情感的出现,或者是在无意识的情况下进行的,有时它是作为两者的复合结果出现的。本文将这两者定义为认知和非认知。通过将这两者应用到使用复杂模糊数的模糊爱情模型中,我们观察到了该模型中出现的混沌行为。我们利用相位图和分岔图验证了带有模糊三角形和梯形外力的爱情模型中的混沌行为。爱情模型被称为微分方程,可以表示一个人在正或负外力变化时对爱情的感受。因为爱情是一个人的感觉,包含了人类情感的模糊性和暧昧性。此外,外力还可以表示一些外部影响,也可以是人的反应。由于人的感觉是模糊和含糊的,因此模糊正弦函数和高斯函数被用来表达这些感觉和外力。
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来源期刊
International Journal of Fuzzy Systems
International Journal of Fuzzy Systems 工程技术-计算机:人工智能
CiteScore
7.80
自引率
9.30%
发文量
188
审稿时长
16 months
期刊介绍: The International Journal of Fuzzy Systems (IJFS) is an official journal of Taiwan Fuzzy Systems Association (TFSA) and is published semi-quarterly. IJFS will consider high quality papers that deal with the theory, design, and application of fuzzy systems, soft computing systems, grey systems, and extension theory systems ranging from hardware to software. Survey and expository submissions are also welcome.
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