The papers in this special section focus on applications of fuzzy systems in data science and Big Data. In the era of Big Data, intelligent as well as fuzzy tools have become very important to understanding our changing Internet-of-Things-driven data-centric world. Extracting “intelligence” from massive amounts of data has allowed us to support decision making processes in many fields, ranging from common fields like medicine and engineering to more lucrative industries such as vehicular technology and environmental stressors. In line with the shift in many industries to analyzing big data, has added in the fuzzy perspective to allow new ways of reasoning. Examples include interpretability of computing schemes, which have become more and more complex. Yet, successful applications of biomathematical modeling in a fuzzy environment have shown a good alternative to mere common black-box tools. In the call for papers of this special issue, we had devoted our interest in research pertaining to the current state-of-the-art research in the application of fuzzy systems regarding data science and big data analytics. We actively solicited recent results mainly concerned with recent advances and challenges in the theory and applications of fuzzy systems in the fields of data sciences and big data environments.

中文翻译：

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社论：模糊系统在数据科学和大数据中的应用


本专题部分的论文重点关注模糊系统在数据科学和大数据中的应用。在大数据时代，智能和模糊工具对于理解不断变化的物联网驱动的以数据为中心的世界变得非常重要。从大量数据中提取“情报”使我们能够支持许多领域的决策过程，从医学和工程等常见领域到车辆技术和环境压力源等更有利可图的行业。随着许多行业向分析大数据的转变，添加了模糊视角以允许新的推理方式。例子包括计算方案的可解释性，它已经变得越来越复杂。然而，生物数学建模在模糊环境中的成功应用已经表明，它是普通黑盒工具的良好替代方案。在本期特刊征稿中，我们致力于研究数据科学和大数据分析方面模糊系统应用的最新研究成果。我们积极征集最新成果，主要涉及数据科学和大数据环境领域模糊系统理论和应用的最新进展和挑战。