WebAug 18, 2024 · With the rapid development of the theory and application of artificial intelligence, the intuitionistic fuzzy rough sets model is extended in this paper for the increasingly complex data in various problem fields in the real world and the problem of intelligent modeling. WebOct 15, 2024 · Fuzzy systems, artificial neural networks, and evolutionary computation are the main computational intelligence approaches used in applications. Rough set theory is one of the important fuzzy systems that have a significant role in extracting rough information from vague and uncertain knowledge.
An Introduction to Rough Set Theory and Its Applications
WebLower and upper approximations of a concept are the basis for rule acquisition and attribute reduction in rough set theory. To intuitively compute the approximations ... Pedrycz, W., Dang, C.: Positive approximation: An accelerator for attribute reduction in rough set theory. Artificial Intelligence 174(9-10), 597–618 (2010) CrossRef ... Webissues in the artificial intelligence field. In this paper, the basic concepts, operations ... in a sense, the rough set theory is a certain mathematical tool to solve the uncertain shopee fss opt out form
Rough set - Wikipedia
WebAug 24, 2024 · This paper presents a means to analyze the multidimensionality of human consciousness as it interacts with the brain by utilizing Rough Set Theory and Riemannian Covariance Matrices. We mathematically define the infantile state of a robot's operating system running artificial consciousness, which operates mutually exclusively to the … WebIn computer science, a rough set, first described by Polish computer scientist Zdzisław I. Pawlak, is a formal approximation of a crisp set (i.e., conventional set) in terms of a pair … WebKindly Increase volume of video with the help of speakers as volume is bit low.sorry for inconvenience. For Queries and pdf- Email: [email protected]... shopee fumo