With increasing advancements in the field of telecommunication, the attainment of a higher data transfer rate is essentially a greater need to meet high-performance communication. The exploitation of the fuzzy system in the wireless telecommunication systems, especially in Fifth Generation Mobile Networks (or) 5G networks is a vital paradigm in telecommunication markets. A comprehensive survey is dealt in the paper, where it initially reviews the basic understanding of fuzzy systems over 5G telecommunication. The literature studies are collected from various repositories that include reference materials, Internet, and other books. The collection of articles is based on empirical or evidence-based from various peer-reviewed journals, conference proceedings, dissertations, and theses. Most of the existing soft computing models are streamlined to certain applications of 5G networking. Firstly, it is hence essential to provide the readers to find research gaps and new innovative models on wide varied applications of 5G. Secondly, it deals with the scenarios in which the fuzzy systems are developed under the 5G platform. Thirdly, it discusses the applicability of fuzzy logic systems on various 5G telecommunication applications. Finally, the paper derives the conclusions associated with various studies on the fuzzy systems that have been utilized for the improvement of 5G telecommunication systems.
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As a result of this, most soft computing strategies concentrate on training data that include ambiguous or incomplete information. In a sense, the human mind serves as a model for soft computing. There are three principles that guide software development: utilize tolerance for ambiguity, uncertainty, and partial truth for tractability and low-cost solution. When used in conjunction with other soft computing approaches such as visualization, this technique can be quite useful because of the complementary nature of them. The two can work together to solve issues that traditional mathematical methods cannot handle because they are either too intricate or noisy. 2ff7e9595c
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