Computational Intelligence for Modern Business Systems: Emerging Applications and Strategies
暫譯: 現代商業系統的計算智能：新興應用與策略
Kautish, Sandeep, Chatterjee, Prasenjit, Pamucar, Dragan
- 出版商: Springer
- 出版日期: 2024-11-22
- 售價: $6,100
- 貴賓價: 9.5 折 $5,795
- 語言: 英文
- 頁數: 522
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9819953561
- ISBN-13: 9789819953561
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book covers the applications of computational intelligence techniques in business systems and advocates how these techniques are useful in modern business operations. The book redefines the computational intelligence foundations, the three pillars - neural networks, evolutionary computation, and fuzzy systems. It also discusses emerging areas such as swarm intelligence, artificial immune systems (AIS), support vector machines, rough sets, and chaotic systems. The other areas have also been demystified in the book to strengthen the range of computational intelligence techniques such as expert systems, knowledge-based systems, and genetic algorithms. Therefore, this book will redefine the role of computational intelligence techniques in modern business system operations such as marketing, finance & accounts, operations, personnel management, supply chain management, and logistics. Besides, this book guides the readers through using them to model, discover, and interpret new patterns that cannot be found through statistical methods alone in various business system operations. This book reveals how computational intelligence can inform the design and integration of services, architecture, brand identity, and product portfolio across the entire enterprise. The book will provide insights into research gaps, open challenges, and unsolved computational intelligence problems. The book will act as a premier reference and instant material for all the users who are contributing/practicing the adaptation of computational intelligence modern techniques in business systems.
商品描述(中文翻譯)
本書涵蓋了計算智慧技術在商業系統中的應用，並倡導這些技術在現代商業運營中的重要性。本書重新定義了計算智慧的基礎，包括三大支柱：神經網絡、演化計算和模糊系統。它還討論了新興領域，如群體智慧、人工免疫系統（AIS）、支持向量機、粗集和混沌系統。書中也對其他領域進行了解釋，以加強計算智慧技術的範疇，例如專家系統、知識基礎系統和遺傳算法。因此，本書將重新定義計算智慧技術在現代商業系統運營中的角色，包括市場營銷、財務與會計、運營、人力資源管理、供應鏈管理和物流。此外，本書指導讀者如何使用這些技術來建模、發現和解釋在各種商業系統運營中無法僅通過統計方法找到的新模式。本書揭示了計算智慧如何影響整個企業的服務設計和整合、架構、品牌識別和產品組合。本書將提供對研究空白、開放挑戰和未解決的計算智慧問題的見解。本書將成為所有貢獻或實踐計算智慧現代技術在商業系統中應用的用戶的首要參考資料和即時材料。
作者簡介
Prasenjit Chatterjee is currently the Dean of Research and Consultancy at MCKV Institute of Engineering, West Bengal, India. He has over 90 research papers in various international journals and peer-reviewed conferences. He has been the Guest Editor of several special issues of SCI, SCIE, Scopus, and ESCI-indexed journals. He has authored and edited several books on decision-making approaches, supply chains, and sustainability modeling. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods called Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI).
Dragan Pamucar is an Associate Professor at the University of Defence in Belgrade, the Department of Logistics, Serbia. Dr. Pamucar obtained his MSc at the Faculty of Transport and Traffic Engineering in Belgrade in 2009, and his Ph.D. degree in Applied Mathematics with specialization in multi-criteria modeling and soft computing techniques at the University of Defence in Belgrade, Serbia in 2013. His research interests include the fields of computational intelligence, multi-criteria decision-making problems, neuro-fuzzy systems, fuzzy, rough, and intuitionistic fuzzy set theory, and neutrosophic theory, with applications in a wide range of logistics problems. Dr. Pamucar has authored/co-authored over 120 papers published in International journals and has been the guest editor of numerous special issues of Scopus and SCI-indexed journals. He has authored and edited books on decision-making approaches, optimization, and logistics.
Pradeep N. is an Associate Professor in Computer Science and Engineering at Bapuji Institute of Engineering and Technology, Karnataka, India. He has 18 years of teaching and research experience. His research areas are machine learning, pattern recognition, medical imageanalysis, knowledge discovery techniques, and data analytics. He has published over 20 research articles published in refereed journals, authored six book chapters, and edited several books. His one Indian patent application is published and one Australian patent is granted.
Deepmala Singh is an Assistant Professor at Symbiosis International University, SCMS Nagpur. She completed her Ph.D. from Banaras Hindu University in 2016. Her research focused on the digital initiatives of human resource development practices in BHEL. Before joining Symbiosis she was associated with reputed universities like Asia Pacific University Malaysia, MNNIT Allahabad, etc. Besides, she also served as a project fellow in a major research project funded by UGC in 2011. She has over 26 journal publications and 3 edited books with international publishers to her credit.
作者簡介(中文翻譯)
Prasenjit Chatterjee 目前是印度西孟加拉邦 MCKV 工程學院的研究與諮詢院長。他在各種國際期刊和同行評審會議上發表了超過 90 篇研究論文。他曾擔任多個 SCI、SCIE、Scopus 和 ESCI 索引期刊的特刊客座編輯。他撰寫和編輯了多本有關決策方法、供應鏈和可持續性建模的書籍。Chatterjee 博士是兩種多準則決策方法的開發者之一，分別是替代方案的測量與根據妥協解決方案的排名 (MARCOS) 以及通過將準則子區間功能映射到單一區間的替代方案排名 (RAFSI)。
Dragan Pamucar 是塞爾維亞貝爾格萊德國防大學物流系的副教授。Pamucar 博士於 2009 年在貝爾格萊德交通與交通工程學院獲得碩士學位，並於 2013 年在貝爾格萊德國防大學獲得應用數學博士學位，專攻多準則建模和軟計算技術。他的研究興趣包括計算智能、多準則決策問題、神經模糊系統、模糊、粗糙和直覺模糊集理論，以及中立理論，並應用於各種物流問題。Pamucar 博士已發表超過 120 篇國際期刊論文，並擔任多個 Scopus 和 SCI 索引期刊特刊的客座編輯。他撰寫和編輯了有關決策方法、優化和物流的書籍。
Pradeep N. 是印度卡納塔克邦 Bapuji 工程與技術學院的計算機科學與工程副教授。他擁有 18 年的教學和研究經驗。他的研究領域包括機器學習、模式識別、醫學影像分析、知識發現技術和數據分析。他在同行評審期刊上發表了超過 20 篇研究文章，撰寫了六章書籍，並編輯了多本書籍。他有一項印度專利申請已發表，並獲得一項澳大利亞專利。
Deepmala Singh 是 Symbiosis 國際大學 SCMS Nagpur 的助理教授。她於 2016 年在瓦拉納西印度大學獲得博士學位。她的研究集中在 BHEL 的人力資源發展實踐的數位倡議上。在加入 Symbiosis 之前，她曾與馬來西亞亞太大學、阿拉哈巴德 MNNIT 等知名大學合作。此外，她還曾在 2011 年擔任由 UGC 資助的重大研究項目的專案研究員。她擁有超過 26 篇期刊出版物和 3 本與國際出版商合作編輯的書籍。
