商品描述
This book offers a comprehensive, mathematically grounded introduction to multi-attribute decision-making (MADM) for undergraduate, graduate, and doctoral students, as well as researchers in engineering, management, economics, and biology. It bridges theory and practice, covering fundamental concepts, advanced methods, and MATLAB implementations. Topics include critical, subjective, objective, and comprehensive weighting methods, ranking techniques, and their integration for solving complex decision problems. The book addresses challenges such as ranking abnormalities, complexity, and applicability in emerging applications. It also explores fuzzy MADM for handling uncertainty and non-sharp boundaries, highlighting recent research directions and open challenges. Filling a gap in the literature, this book serves as a valuable resource for academics and professionals seeking to apply MADM in dynamic, interdisciplinary contexts.
商品描述(中文翻譯)
本書為本科生、研究生及博士生，以及工程、管理、經濟學和生物學的研究人員提供了一個全面且以數學為基礎的多屬性決策（MADM）入門介紹。它橋接了理論與實踐，涵蓋了基本概念、高級方法及 MATLAB 實作。主題包括關鍵的、主觀的、客觀的及綜合的加權方法、排名技術及其整合，以解決複雜的決策問題。本書還探討了排名異常、複雜性及在新興應用中的適用性等挑戰。它還研究了模糊 MADM，以處理不確定性和非明確邊界，並強調了近期的研究方向和未解決的挑戰。本書填補了文獻中的空白，成為學術界和專業人士在動態跨學科背景下應用 MADM 的寶貴資源。
作者簡介
Ashok Kumar Yadav holds a B.Tech. from AKTU Lucknow, an M.Tech. and Ph.D. from JNU New Delhi, India, and has over seven years of teaching and research experience. He is an assistant professor in Information Technology at Rajkiya Engineering College, Azamgarh, India, and formerly taught at the University of Delhi. His research interests include MADM, blockchain, machine learning, and mobility management in mobile communication. He has authored publications in Elsevier, Springer, World Scientific, and Taylor & Francis journals, co-authored Mastering Disruptive Technologies, holds six SCIE papers, two Scopus publications, and six patents. He actively reviews for international journals, serves on conference committees. Ali Ahmadian is a senior research scientist at Mediterranea University of Reggio Calabria, Italy, a visiting professor at Istanbul Okan University, Turkey, and former fellow researcher at the Institute of IR 4.0, National University of Malaysia. He earned his Ph.D. in 2014 as the best postgraduate student at Universiti Putra Malaysia (UPM) and later served as a postdoctoral fellow and fellow researcher at UPM. His research focuses on computational methods and models in computer science, biology, physics, and engineering using fuzzy and fractional calculus, with applications in nano-communication networks, drug delivery, nanofluids, AI, and more. He has secured 18 national and international grants, published over 350 papers in leading journals, and edited seven books. Ajay Pratap is an assistant professor in Computer Science and Engineering at IIT (BHU), Varanasi, India. He earned his Ph.D. from IIT Patna (2018) and completed postdoctoral research at Missouri University of Science and Technology, USA (2018-2019). His research covers cyber-physical systems, statistical learning, algorithm design for next-generation wireless networks, mobile computing, applied graph theory, and game theory. His current focus includes HetNet, small cells, fog computing, IoT, smart healthcare, and D2D communication in 5G and beyond. He has published in top journals and received multiple awards, including Best Paper Awards, an NSF Travel Grant (IEEE SmartComp, USA), and the Young Engineer Award in Computer Engineering from the Institution of Engineers (India) in 2023.
作者簡介(中文翻譯)
阿肖克·庫馬·亞達夫（Ashok Kumar Yadav）擁有來自印度阿卡德米克科技大學（AKTU Lucknow）的工學學士學位（B.Tech.）、來自新德里的賈瓦哈拉爾·尼赫魯大學（JNU）的工學碩士學位（M.Tech.）及博士學位（Ph.D.），並擁有超過七年的教學和研究經驗。他是印度阿扎姆加爾的國立工程學院（Rajkiya Engineering College, Azamgarh）資訊科技助理教授，曾在德里大學任教。他的研究興趣包括多準則決策分析（MADM）、區塊鏈、機器學習以及行動通信中的移動管理。他在Elsevier、Springer、World Scientific和Taylor & Francis期刊上發表過多篇論文，並共同撰寫了《掌握顛覆性技術》（Mastering Disruptive Technologies），擁有六篇SCIE論文、兩篇Scopus出版物和六項專利。他積極為國際期刊進行審稿，並擔任會議委員會成員。
阿里·艾哈邁迪安（Ali Ahmadian）是意大利雷焦卡拉布里亞的地中海大學（Mediterranea University of Reggio Calabria）高級研究科學家，土耳其伊斯坦堡奧坎大學（Istanbul Okan University）訪問教授，並曾是馬來西亞國立大學（National University of Malaysia）IR 4.0研究所的研究員。他於2014年獲得馬來西亞普特拉大學（Universiti Putra Malaysia, UPM）最佳研究生的博士學位，之後在UPM擔任博士後研究員及研究員。他的研究專注於計算方法和模型，應用於計算機科學、生物學、物理學和工程學，使用模糊和分數微積分，並應用於納米通信網絡、藥物傳遞、納米流體、人工智慧等領域。他獲得了18項國內外資助，並在頂尖期刊上發表了超過350篇論文，編輯了七本書籍。
阿賈伊·普拉塔普（Ajay Pratap）是印度瓦拉納西的印度理工學院（IIT (BHU)）計算機科學與工程助理教授。他於2018年獲得印度理工學院巴特那分校（IIT Patna）的博士學位，並於2018至2019年在美國密蘇里科技大學（Missouri University of Science and Technology）完成博士後研究。他的研究涵蓋了網絡物理系統、統計學習、下一代無線網絡的算法設計、移動計算、應用圖論和博弈論。他目前的研究重點包括異構網絡（HetNet）、小型基站、雲端計算（fog computing）、物聯網（IoT）、智慧醫療以及5G及以後的設備對設備（D2D）通信。他在頂尖期刊上發表過多篇論文，並獲得多項獎項，包括最佳論文獎、國家科學基金會旅行獎（NSF Travel Grant，IEEE SmartComp，美國）以及2023年印度工程師協會（Institution of Engineers, India）計算機工程青年工程師獎。
