商品描述
This book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which relate to uncertainty handling and machine learning techniques respectively. Generally, fuzzy sets are considered as vague or uncertain sets having membership function lying between 0 and 1, and ANN is a type of artificial intelligence that attempts to imitate the way a human brain works by configuring specific applications, for instance pattern recognition or data classification, through learning processes.
The book also presents C/MATLAB programming codes related to the basics of fuzzy set, interval arithmetic and ANN in a concise, practical and adaptable manner along, with simple examples and self-validation unsolved practice questions in few cases
商品描述(中文翻譯)
本書討論了軟計算，這是一個有效的平台，用於處理不精確性、不確定性、模糊性和近似性，以達到穩健性和可靠的計算。它探討了軟計算的兩個主要概念：模糊集合理論（fuzzy set theory）和人工神經網絡（neural networks），分別與不確定性處理和機器學習技術相關。一般而言，模糊集合被視為具有模糊或不確定性的集合，其隸屬函數介於0和1之間，而人工神經網絡是一種人工智慧，試圖模仿人類大腦的運作方式，通過學習過程配置特定應用，例如模式識別或數據分類。
本書還以簡潔、實用和可適應的方式呈現與模糊集合、區間算術和人工神經網絡基礎相關的C/MATLAB程式碼，並附有簡單的範例和自我驗證的未解練習題。
作者簡介
Prof. Snehashish Chakraverty has 27 years of experience as a researcher and is currently a Professor at the Department of Mathematics at National Institute of Technology, Rourkela, Odisha. He holds an M.Sc. in Mathematics, M.Phil. in Computer Applications and a Ph.D. from IIT Roorkee. He then pursued postdoctoral research at the Institute of Sound and Vibration Research (ISVR), University of Southampton, U.K. and at the Faculty of Engineering and Computer Science, Concordia University, Canada. He has authored about 14 books and published more than 314 research papers in respected journals and conferences.Prof. Chakraverty is on the editorial boards of various international journals, book series and conferences and is also the chief editor of the International Journal of Fuzzy Computation and Modelling (IJFCM), Inderscience Publisher, Switzerland and is a guest editor for various other journals. He is recipient of few prestigious awards viz. Indian National Science Acdemy (INSA) nomination under International Collaboration/Bilateral Exchange Program (with Czech Republic), Platinum Jubilee ISCA Lecture Award (2014), CSIR Young Scientist (1997), BOYSCAST (DST), UCOST Young Scientist (2007, 2008), Golden Jubilee Director's (CBRI) Award (2001), Roorkee University Gold Medals (1987, 1988) for first positions in M. Sc. and M. Phil. etc. His current research areas include soft computing and machine intelligence, artificial neural networks, fuzzy and interval computations, numerical analysis, differential equations, mathematical modelling, uncertainty modelling, vibration and inverse vibration problems.Dr. Deepti Moyi Sahoo is currently Assistant Professsor at O.P. Jindal University, Punjipathra, Raigarh, Chhattisgarh in the Department of Mathematics. She completed her Master of Science degree in Mathematics at National Institute of Technology, in 2010. She received her Ph.D. from the same institute in 2017.Dr. Sahoo has co-authored good number of research papers and a book chapter. Her current research areas include interval analysis, fuzzy set theory, artificial neural networks, interval and fuzzy neural networks, functional link neural networks and structural system identification problems.Nisha Rani Mahato is currently pursuing her Ph.D. at the Department of Mathematics at the National Institute of Technology, Rourkela, Odisha. She completed her Master of Science degree in Mathematics at the National Institute of Technology, in 2011. She was awarded Raman Charpak Fellowship-2016 (RCF-2016) by CEFIPRA, New Delhi. Also, she had been awarded best paper at the 38th Annual Conference of Orissa Mathematical Society in 2011 and best poster in mathematics at Research Scholar Week 2018, NIT Rourkela.She has participated in various conferences/workshops and published good number of research papers, a book chapter and a book. Her current research areas include interval analysis, fuzzy set theory, interval/fuzzy eigenvalue problems, interval/fuzzy simultaneous equations and interval/fuzzy differential equations.
作者簡介(中文翻譯)
Snehashish Chakraverty 教授擁有 27 年的研究經驗，目前是奧迪沙州魯爾基拉國立技術學院數學系的教授。他擁有數學碩士學位、計算機應用碩士研究學位以及來自印度理工學院魯爾基的博士學位。隨後，他在英國南安普敦大學聲音與振動研究所 (ISVR) 和加拿大康考迪亞大學工程與計算機科學系進行了博士後研究。他已撰寫約 14 本書籍，並在受尊敬的期刊和會議上發表了超過 314 篇研究論文。Chakraverty 教授擔任多個國際期刊、書籍系列和會議的編輯委員會成員，並且是瑞士 Inderscience 出版社的《國際模糊計算與建模期刊》(IJFCM) 的主編，同時也是其他多個期刊的客座編輯。他獲得了幾個著名獎項，包括印度國家科學院 (INSA) 在國際合作/雙邊交流計劃下的提名（與捷克共和國合作）、2014 年的白金禧 ISCA 演講獎、1997 年的 CSIR 年輕科學家獎、BOYSCAST (DST)、2007 年和 2008 年的 UCOST 年輕科學家獎、2001 年的金禧主任獎 (CBRI) 以及 1987 年和 1988 年的魯爾基大學金獎（數學碩士和碩士研究學位的第一名）。他目前的研究領域包括軟計算與機器智能、人工神經網絡、模糊與區間計算、數值分析、微分方程、數學建模、不確定性建模、振動及逆振動問題。
Deepti Moyi Sahoo 博士目前是印度恰蒂斯加爾邦 Raigarh 的 O.P. Jindal 大學數學系的助理教授。她於 2010 年在國立技術學院獲得數學碩士學位，並於 2017 年在同一學院獲得博士學位。Sahoo 博士共同撰寫了多篇研究論文和一章書籍。她目前的研究領域包括區間分析、模糊集合理論、人工神經網絡、區間和模糊神經網絡、功能連結神經網絡以及結構系統識別問題。
Nisha Rani Mahato 目前在奧迪沙州魯爾基拉國立技術學院數學系攻讀博士學位。她於 2011 年在國立技術學院獲得數學碩士學位。她於 2016 年獲得新德里 CEFIPRA 頒發的 Raman Charpak Fellowship (RCF-2016)。此外，她在 2011 年的奧里薩數學學會第 38 屆年會上獲得最佳論文獎，並在 2018 年 NIT 魯爾基拉的研究學者週上獲得數學最佳海報獎。她參加了多個會議/研討會，並發表了多篇研究論文、一章書籍和一本書。她目前的研究領域包括區間分析、模糊集合理論、區間/模糊特徵值問題、區間/模糊聯立方程和區間/模糊微分方程。
