Fuzzy Computing in Data Science: Applications and Challenges

The book provides information about fundamental aspects of the field and explores the myriad applications of fuzzy logic techniques and methods. It presents basic conceptual considerations and case studies of applications of fuzzy computation. It covers the fundamental concepts and techniques for system modeling, information processing, intelligent system design, decision analysis, statistical analysis, pattern recognition, automated learning, and system control and identification. The book also discusses the combination of fuzzy computation techniques with other computational intelligence approaches such as neural and evolutionary computation.

這本書提供了有關該領域基本概念的資訊，並探討了模糊邏輯技術和方法的眾多應用。它介紹了基本的概念考量和模糊計算應用案例。書中涵蓋了系統建模、資訊處理、智能系統設計、決策分析、統計分析、模式識別、自動學習以及系統控制和識別的基本概念和技術。此外，本書還討論了將模糊計算技術與其他計算智能方法（如神經網絡和演化計算）結合的方法。

Sachi Nandan Mohanty, PhD, received his doctorate from IIT Kharagpur in 2015 and his PostDoc from IIT Kanpur in 2019. He has recently joined as an associate professor at VIT-AP University, Andhra Pradesh. He has edited 24 books and published more than 100 research papers in international journals and has been elected as Fellow of the Institute of Engineers and Senior member of IEEE Computer Society Hyderabad chapter. His research areas include data mining, big data analysis, cognitive science, fuzzy decision-making, brain-computer interface, and computational intelligence.

Prasenjit Chatterjee, PhD, is an associate professor in the Mechanical Engineering Department at MCKV Institute of Engineering, India. He has more than 80 research papers in various international SCI journals. Dr. Chatterjee is one of the developers of a new multiple-criteria decision-making method called Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS).

Bui Thanh Hung, PhD, is the Director of Artificial Intelligence Laboratory, Faculty of Information Technology, Ton Duc Thang University, Vietnam, and received his doctorate from Japan Advanced Institute of Science and Technology (JAIST) in 2013. He has published numerous research articles in international journals and conferences as well as 14 book chapters. His main research interests are natural language processing, machine learning, machine translation, text processing, data analytics, computer vision, and artificial intelligence.

Sachi Nandan Mohanty博士於2015年在印度理工學院卡拉格普爾分校獲得博士學位，並於2019年在印度理工學院坎普爾分校進行博士後研究。他最近加入了安得拉邦的VIT-AP大學擔任副教授。他編輯了24本書籍，在國際期刊上發表了100多篇研究論文，並當選為工程師學會會士和IEEE計算機學會海得拉巴分會的高級會員。他的研究領域包括數據挖掘、大數據分析、認知科學、模糊決策、腦-電腦界面和計算智能。

Prasenjit Chatterjee博士是印度MCKV工程學院機械工程系的副教授。他在各種國際SCI期刊上發表了80多篇研究論文。Chatterjee博士是一種名為MARCOS（Measurement of Alternatives and Ranking according to Compromise Solution）的新多準則決策方法的開發者之一。

Bui Thanh Hung博士是越南頓德薩大學資訊技術學院人工智能實驗室的主任，並於2013年在日本先進科學技術研究所（JAIST）獲得博士學位。他在國際期刊和會議上發表了大量研究論文，並撰寫了14章書籍。他的主要研究興趣包括自然語言處理、機器學習、機器翻譯、文本處理、數據分析、計算機視覺和人工智能。