Soft Computing and Machine Learning: A Fuzzy and Neutrosophic View of Reality
暫譯: 軟計算與機器學習：模糊與中立視角的現實觀

這本參考書涵蓋了軟計算和機器學習的理論與應用，並向讀者介紹了在經典建模方法無法使用的情況下所需的智能模糊和中立邏輯規則，例如當手頭有不完整、不清晰或不精確的信息或數據不足時。它進一步闡述了圖像處理和電力系統分析等主題。

這本書：

- 討論了包括模糊邏輯、粗集、中立集、神經網絡、生成對抗網絡和進化計算等軟計算技術。
- 檢視了軟計算、模糊計算、中立計算和機器學習系統領域中的新穎和當代進展，以及它們在現實生活中的應用。
- 作為一個全面的參考，應用機器學習和中立集於智慧城市、醫療保健和物聯網等現實應用中。
- 涵蓋了圖像處理、生物信息學、自然語言處理、供應鏈管理和控制論等主題。
- 說明了中立機器學習的分類、中立強化學習，以及中立機器學習在新興產業中的應用。

本書是為電機工程、電子與通信工程、計算機科學與工程以及信息技術領域的高年級本科生、研究生和學術研究人員撰寫的。

Mohd Anas Wajid is a Postdoctoral Research Associate in Data Science at the Institute for the Future of Education, TEC de Monterrey, Mexico. He is also Assistant Professor at Galgotias University, Greater Noida, India, in the Department of Computer Science and Application. He received his PhD degree in Computer Science from Aligarh Muslim University, India. He was awarded with the MITACS- SICI Globalink Research Award by Mitacs in collaboration with HRD ministry, Government of India to do a project at the University of Athabasca, Edmonton, Alberta, Canada. ACM India Council named him an ACM India Anveshan Setu Fellow, and he received a fellowship to conduct a part of his research at IIIT- Delhi. He was also a recipient of Maulana Azad National Fellowship (SRF) from UGC, Government of India. He qualified various prestigious national exams such as UGC- NET and GATE multiple times. His contribution to Neutrosophic research earned him a Diploma from the Neutrosophic Science International Association (NSIA), University of New Mexico, United States (USA). He has several research papers to his credit in refereed journals and conferences of international repute such as Journal of Cloud Computing, Nature Scientific Reports, Journal of Computational Intelligence & Neuroscience, and Neutrosophic Sets & Systems, etc. He has co-authored one book and two patents. He has keen interest in Soft Computing, Machine Learning, Data Science, Information Retrieval, and Neutrosophy. He has academic as well as industrial experience.

Prof. Aasim Zafar is a Senior Professor at Computer Science Department, Aligarh Muslim University, Aligarh, India. He holds a master's in computer science and applications and obtained the degree of PhD in Computer Science from Aligarh Muslim University, Aligarh, India. His research areas and special interests include Mobile Ad hoc and Sensor Networks, Software Engineering, Information Retrieval, E-Systems, e-Security, Virtual Learning Environment, Neuro-Fuzzy and Soft Computing, Knowledge Management Systems and Web Mining. His areas of teaching interest include Computer Networks, Network Security, Software Engineering, E-Systems, Database Management Systems and Computer Programming. He has presented many papers in National and International Conferences and published various research papers in jour-nals of international repute.

Mohammad Saif Wajid received bachelor's degree in computer science and engineering from Dr. A.P.J. Abdul Kalam Technical University, India, and Master's Degree from BBD University, India. He received his Full-Time PhD degree from Tecnologico de Monterrey, Monterrey Campus, Mexico. He also worked as a Visiting Research Scholar at the University of Texas, San Antonio, USA. For the past eight years, he has been working as an Assistant Professor in Computer Science and Engineering and worked as a Software Engineer for a year in India. His research jumps around the potential applications of Digital Twin, Knowledge Graph, Machine Learning, Computer Vision, NLP, and Neutrosophy, touching areas such as Violence Detection, Healthcare Systems, Dense Captioning of images/videos, and DTWIN for Smart cities. He is passionate about digital learning, real- time and asynchronous, and an early adopter of emerging software and hardware solutions to facilitate teaching and research. His other favored tool is LaTeX, which he likes to use for all academic writings and presentations. He has published over 25 research papers in international journals, conferences, and one book. He has supervised eight master's thesis.

Akib Mohi Ud Din Khanday has completed his PhD from Department of Computer Sciences, Baba Ghulam Shah Badshah University, Rajouri, India. He has received his master's degree in information technology from Islamic University of Science and Technology, Jammu and Kashmir, India. The author has qualified UGC-NET (December 2020) in Computer Science and Applications. He has worked as an Assistant Professor in PG Department of Information Technology, Cluster University Srinagar for the year 2022. He is currently associated with United Arab Emirates University Al Ain, UAE as a post-doctoral researcher. His research interests are Computational Social Sciences, Computations for Social Good, NLP and Machine/Deep Learning. He has authored many research arti-cles in the reputed journals indexed in SCOPUS and Web of Science. He has presented his work in many international conferences. His research has been cited by many researchers around the Globe. He has served as a reviewer in reputed journals over the years like Scientific Reports, Journal of Social Science and Humanities, IEEE Access, Processes, etc. He has also served as the TPC member of various reputed International Conferences.

Pronaya Bhattacharya is currently employed as an Associate Professor in the Department of Computer Science and Engineering, Amity School of Engineering and Technology and Research and Innovation Cell, Amity University, Kolkata, West Bengal, India. He completed his PhD in Optical Networks from Dr. A. P. J Abdul Kalam Technical University in 2021. He has over ten years of teaching experience and 2 years of Industrial experience. He has authored or co-authored more than 110 research papers in leading SCI/SCIE journals and top core IEEE COMSOC A* conferences. Some of his top-notch findings are published in reputed SCI journals. He has an H-index of 22 and an i10-index of 46 as per Google Scholar. His research interests include healthcare analytics, optical switching and networking, federated learning, blockchain, and the IoT. Four of his works on COVID-19 have been added by the World Health Organization (WHO) in its research database for the technical novelty of proposed solutions which orients the societal aspect. He has been granted three international patents in the fields of healthcare, blockchain, and network communications. He has been appointed in the capacity of a Keynote Speaker, Technical Committee Member, Program Chair, and the Session Chair across the globe. He was awarded nine best paper awards in Springer ICRIC-2019, IEEE-ICIEM-2021, IEEE- ECAI-2021, Springer COMS2-2021, and IEEE-ICIEM-2022. He has three interna-tionally granted patents to his credit. He is a Reviewer of 25 reputed SCI journals, such as IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, IEEE Transactions of Vehicular Technology, IEEE Journal of Biomedical and Health Informatics, IEEE Access, IEEE Network, ETT, IJCS, MTAP, OSN, WPC, and others.

Mohd Anas Wajid 是墨西哥蒙特雷科技大學未來教育研究所的數據科學博士後研究助理。他同時也是印度大諾伊達的 Galgotias 大學計算機科學與應用系的助理教授。他在印度阿里格爾穆斯林大學獲得計算機科學博士學位。他獲得了由 Mitacs 與印度政府人力資源發展部合作頒發的 MITACS-SICI Globalink 研究獎，以便在加拿大艾伯塔省埃德蒙頓的阿薩巴斯卡大學進行項目研究。ACM 印度委員會將他命名為 ACM India Anveshan Setu Fellow，他獲得了一項獎學金以在 IIIT-德里進行部分研究。他還獲得了印度政府 UGC 頒發的 Maulana Azad 國家獎學金（SRF）。他多次通過各種著名的國家考試，如 UGC-NET 和 GATE。他在 Neutrosophic 研究方面的貢獻使他獲得了美國新墨西哥大學 Neutrosophic Science International Association (NSIA) 的文憑。他在國際知名的期刊和會議上發表了多篇研究論文，如《雲計算期刊》、《自然科學報告》、《計算智能與神經科學期刊》和《Neutrosophic Sets & Systems》等。他共同撰寫了一本書和兩項專利。他對軟計算、機器學習、數據科學、信息檢索和 Neutrosophy 有濃厚的興趣，並擁有學術和工業經驗。

Prof. Aasim Zafar 是印度阿里格爾穆斯林大學計算機科學系的高級教授。他擁有計算機科學與應用的碩士學位，並在阿里格爾穆斯林大學獲得計算機科學博士學位。他的研究領域和特別興趣包括移動自組網和傳感器網絡、軟件工程、信息檢索、電子系統、電子安全、虛擬學習環境、神經模糊和軟計算、知識管理系統和網絡挖掘。他的教學興趣包括計算機網絡、網絡安全、軟件工程、電子系統、數據庫管理系統和計算機編程。他在國內外會議上發表了多篇論文，並在國際知名期刊上發表了各種研究論文。

Mohammad Saif Wajid 在印度 A.P.J. 阿布杜勒·卡拉姆技術大學獲得計算機科學與工程學士學位，並在 BBD 大學獲得碩士學位。他在墨西哥蒙特雷科技大學蒙特雷校區獲得全日制博士學位。他還曾在美國德克薩斯州聖安東尼奧大學擔任訪問研究學者。在過去的八年中，他一直擔任計算機科學與工程的助理教授，並在印度擔任了一年的軟件工程師。他的研究涉及數字雙胞胎、知識圖譜、機器學習、計算機視覺、自然語言處理（NLP）和 Neutrosophy 的潛在應用，觸及暴力檢測、醫療系統、圖像/視頻的密集標註以及智慧城市的 DTWIN。他對數字學習充滿熱情，無論是即時還是非同步，並且是新興軟件和硬件解決方案的早期採用者，以促進教學和研究。他的另一個喜愛工具是 LaTeX，喜歡用於所有學術寫作和演示。他在國際期刊、會議上發表了超過 25 篇研究論文，並出版了一本書。他指導了八篇碩士論文。

Akib Mohi Ud Din Khanday 在印度拉喬里 Baba Ghulam Shah Badshah 大學計算機科學系獲得博士學位。他在印度查謨和克什米爾的伊斯蘭科技大學獲得信息技術碩士學位。該作者在計算機科學與應用領域通過了 UGC-NET（2020 年 12 月）。他在 2022 年擔任了克拉斯特大學斯利那加信息技術研究生部的助理教授。他目前在阿聯酋阿布扎比的阿聯酋大學擔任博士後研究員。他的研究興趣包括計算社會科學、社會公益計算、自然語言處理和機器/深度學習。他在 SCOPUS 和 Web of Science 索引的知名期刊上發表了多篇研究文章，並在多個國際會議上展示了他的工作。他的研究被全球許多研究人員引用。他多年來在知名期刊如《科學報告》、《社會科學與人文期刊》、《IEEE Access》、《Processes》等擔任審稿人。他還擔任過多個知名國際會議的技術程序委員會成員。

Pronaya Bhattacharya 目前在印度西孟加拉邦的阿米提大學工程與技術學院及研究與創新中心擔任計算機科學與工程系的副教授。他於 2021 年在 A.P.J. 阿布杜勒·卡拉姆技術大學獲得光學網絡博士學位。他擁有超過十年的教學經驗和兩年的工業經驗。他在領先的 SCI/SCIE 期刊和頂級核心 IEEE COMSOC A* 會議上發表或共同發表了超過 110 篇研究論文。他的一些重要研究成果已發表在知名的 SCI 期刊上。根據 Google Scholar，他的 H 指數為 22，i10 指數為 46。他的研究興趣包括醫療分析、光學切換與網絡、聯邦學習、區塊鏈和物聯網。他的四篇有關 COVID-19 的研究作品已被世界衛生組織（WHO）納入其研究數據庫，因其提出的解決方案具有技術創新性，並關注社會層面。他在醫療、區塊鏈和網絡通信領域獲得了三項國際專利。他在全球範圍內被任命為主題演講者、技術委員會成員、程序主席和會議主席。他在 Springer ICRIC-2019、IEEE-ICIEM-2021、IEEE-ECAI-2021、Springer COMS2-2021 和 IEEE-ICIEM-2022 獲得了九項最佳論文獎。他擁有三項國際授予的專利。他是 25 本知名 SCI 期刊的審稿人，如《IEEE 物聯網期刊》、《IEEE 工業信息學期刊》、《IEEE 車輛技術期刊》、《IEEE 生物醫學與健康信息學期刊》、《IEEE Access》、《IEEE Network》、《ETT》、《IJCS》、《MTAP》、《OSN》、《WPC》等。