Risk Management Strategies Using Fuzzy Optimization Techniques
暫譯: 運用模糊最佳化技術的風險管理策略
Vidyasagar, Kandarp, Dwivedi, Rajiv Kumar, Singh, Chandrani
- 出版商: CRC
- 出版日期: 2026-11-03
- 售價: $6,080
- 貴賓價: 9.5 折 $5,776
- 語言: 英文
- 頁數: 188
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041109725
- ISBN-13: 9781041109723
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相關分類:
工程數學 Engineering-mathematics
海外代購書籍(需單獨結帳)
相關主題
商品描述
The book explores advanced risk management strategies through fuzzy decision-making and optimization techniques. It provides a structured approach to handling uncertainty, ambiguity and imprecise data in critical decision-making environments. This book examines fuzzy set theory, fuzzy numbers, fuzzy decision trees and fuzzy clustering for risk assessment. With a focus on fuzzy goal programming, the book offers practical methodologies for maximizing returns, minimizing risks and maintaining liquidity across diverse sectors.
- Integrates finance, management, mathematics, information technology and engineering to enhance risk assessment.
- Includes case studies on credit risk assessment, portfolio optimization, supplier selection and environmental impact analysis.
- Provides frameworks for addressing ambiguity in data-driven decision-making environments.
- Demonstrates how fuzzy techniques enhance risk mitigation and strategic decision-making and offers step-by-step methodologies for applying fuzzy optimization in real-world scenarios.
This book is a valuable resource for students, researchers and professionals seeking to improve decision-making under uncertainty in finance, management and engineering.
商品描述(中文翻譯)
本書透過模糊決策(fuzzy decision-making)與最佳化技術,探討進階風險管理策略。書中提供一套結構化方法,用於處理關鍵決策環境中的不確定性、模糊性與不精確資料。本書涵蓋模糊集合論(fuzzy set theory)、模糊數(fuzzy numbers)、模糊決策樹(fuzzy decision trees)以及用於風險評估的模糊分群(fuzzy clustering)。本書聚焦於模糊目標規劃(fuzzy goal programming),提供實務方法,以在不同產業中最大化報酬、降低風險並維持流動性。
• 結合財務、管理、數學、資訊科技與工程,提升風險評估能力。
• 收錄信用風險評估、投資組合最佳化、供應商選擇及環境影響分析等案例研究。
• 提供用於處理資料驅動決策環境中模糊性的架構。
• 示範模糊技術如何強化風險降低與策略決策,並提供在真實情境中應用模糊最佳化的逐步方法。
對於希望提升在不確定情況下進行決策能力的財務、管理與工程領域學生、研究人員及專業人士而言,本書是極具價值的參考資源。
作者簡介
Kandarp Vidyasagar is an accomplished academic and researcher in the field of mathematics, currently serving as an assistant professor at Yogoda Satsanga Mahavidyalaya, Ranchi, India. He holds a PhD from Vinoba Bhave University, where he specialized in decision-making in the banking sector using fuzzy goal programming--an area that combines mathematical modelling with real-world uncertainty.
A recipient of the prestigious CSIR Junior Research Fellowship (JRF) and Senior Research Fellowship (SRF), Dr. Vidyasagar has demonstrated exceptional research potential and scholarly excellence. With over five years of dedicated research experience in fuzzy optimization, he has developed strong expertise in handling complex decision-making problems under uncertainty.
Dr. Vidyasagar has actively contributed to both national and international academic platforms through conferences and research publications. His work particularly focuses on the Indian banking sector, with special emphasis on financial challenges emerging in the post-COVID-19 era. In addition to his research accomplishments, he also has experience in undergraduate teaching, where he is committed to fostering analytical thinking and mathematical understanding among students. His academic journey reflects a blend of rigorous research, practical application and a commitment to advancing knowledge in applied mathematics and optimization techniques.
Rajiv Kumar Dwivedi is a distinguished mathematician and academician with an extensive career in teaching, research and academic leadership. He earned his PhD in Applied Mathematics from IIT (ISM) Dhanbad, India, specializing in fuzzy concepts and optimization--an area that addresses complex decision-making under uncertainty and has wide-ranging applications in science and engineering.
With an impressive teaching career spanning over four decades, Dr. Dwivedi brings 16 years of undergraduate and 26 years of postgraduate teaching experience. His deep commitment to education has shaped the academic journeys of numerous students, fostering critical thinking and research aptitude. As a research mentor, he has successfully guided 16 PhD scholars, contributing significantly to the development of future researchers in mathematics.
Dr Dwivedi has served as Associate Professor and Head of the Department of Mathematics at Vinoba Bhave University, Hazaribag, India, where he played a key role in strengthening academic programs and research culture. Additionally, his tenure as Dean of Science reflects his administrative acumen and visionary leadership in advancing interdisciplinary education.
With over 60 research publications in reputed national and international journals, Dr. Dwivedi's scholarly contributions have had a lasting impact on the fields of fuzzy optimization and applied mathematics.
Chandrani Singh is a seasoned academician, researcher and technology expert with over 25 years of rich teaching and professional experience across reputed institutions in Orissa and Maharashtra. She is currently pursuing postdoctoral research in information technology at Lincoln University, Malaysia, further strengthening her interdisciplinary expertise in computing and applied technologies.
Dr Singh earned her Doctor of Philosophy in Computer Management in 2013 and holds both a master of engineering in computer science (1998) and a master of computer applications (1995) from NIT Rourkela, India securing first-class honours in both degrees. Her strong academic foundation is complemented by her commitment to innovation, research and impactful knowledge dissemination.
An accomplished author, Dr. Singh has written several books that are widely prescribed in prestigious national and international universities. She actively collaborates with academic and research institutions worldwide, contributing as a chair, speaker, reviewer and scientific committee member at numerous conferences.
In addition to her academic pursuits, she heads the Sinhgad Data Centre, where she leads initiatives in technology solutions, institutional website development and identity and access management systems. A member of IEEE and the Engineering Council of India, Dr. Singh continues to contribute significantly to academia, research and industry collaboration.
Valentina Emilia Balas is a distinguished academician and globally recognized researcher in the field of intelligent systems and applied software engineering. She serves as a full professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. She earned her PhD cum laude in applied electronics and telecommunications from the Polytechnic University of Timisoara, Romania, reflecting her strong academic foundation and research excellence.
With an exceptional research portfolio, Dr Balas has authored over 400 papers in reputed international journals and conferences, establishing herself as a leading contributor to the advancement of modern computational techniques. Her primary research interests include intelligent systems, fuzzy control, soft computing, smart sensors, information fusion and modelling and simulation--areas that are pivotal to emerging technological innovations.
Dr Balas holds prominent editorial positions as the editor-in-chief of the International Journal of Advanced Intelligence Paradigms (IJAIP) and the International Journal of Computational Systems Engineering (IJCSysE). She is also an active member of editorial boards for several prestigious journals.
In addition, she serves as an expert evaluator for national and international research projects and doctoral theses, contributing significantly to the global academic and research community through her expertise and leadership.
作者簡介(中文翻譯)
Kandarp Vidyasagar 是一位傑出的數學學者與研究人員,目前任職於印度 Ranchi 的 Yogoda Satsanga Mahavidyalaya,擔任助理教授。他取得 Vinoba Bhave University 的博士學位,專長為運用模糊目標規劃(fuzzy goal programming)進行銀行業決策;這個領域結合了數學建模與現實世界中的不確定性。
Dr. Vidyasagar 曾獲頒享有盛譽的 CSIR Junior Research Fellowship(JRF)與 Senior Research Fellowship(SRF),展現卓越的研究潛力與學術成就。他在模糊最佳化(fuzzy optimization)方面累積超過五年的專業研究經驗,對於處理不確定情境下的複雜決策問題具備深厚專長。
Dr. Vidyasagar 積極透過學術會議與研究發表,參與國內外學術平台。他的研究主要聚焦於印度銀行業,特別關注後 COVID-19 時代所浮現的金融挑戰。除了研究成果之外,他也具備大學部教學經驗,致力於培養學生的分析思維與數學理解能力。他的學術歷程融合嚴謹研究、實務應用,以及推動應用數學與最佳化技術知識發展的使命。
Rajiv Kumar Dwivedi 是一位傑出的數學家與學者,在教學、研究及學術領導方面擁有豐富經歷。他於印度 Dhanbad 的 IIT (ISM) 取得應用數學博士學位,專長為模糊概念(fuzzy concepts)與最佳化(optimization);這個領域著重於處理不確定情境下的複雜決策問題,並廣泛應用於科學與工程領域。
Dr. Dwivedi 擁有超過四十年的豐富教學經歷,其中包括 16 年的大學部教學經驗與 26 年的研究所教學經驗。他對教育的深厚投入,影響了眾多學生的學術發展,並培養其批判性思考與研究能力。作為研究導師,他已成功指導 16 名博士生,對培育數學領域的下一代研究人才作出了重要貢獻。
Dr. Dwivedi 曾任印度 Hazaribag 的 Vinoba Bhave University 數學系副教授兼系主任,在強化學術課程與研究文化方面扮演重要角色。此外,他擔任理學院院長期間,也展現了在推動跨領域教育方面的行政能力與前瞻性領導力。
Dr. Dwivedi 在知名國內外期刊發表超過 60 篇研究論文,其學術貢獻對模糊最佳化與應用數學領域產生了長遠影響。
Chandrani Singh 是一位資深學者、研究人員與科技專家,在 Orissa 與 Maharashtra 多所知名機構累積超過 25 年豐富的教學與專業經驗。目前,她正在 Malaysia 的 Lincoln University 進行資訊科技領域的博士後研究,進一步強化其在計算與應用技術方面的跨領域專業。
Dr. Singh 於 2013 年取得電腦管理哲學博士學位,並於 1998 年及 1995 年分別取得印度 Rourkela 的 NIT Rourkela 電腦科學工程碩士學位與電腦應用碩士學位,兩項學位皆以一等榮譽成績畢業。她扎實的學術基礎,加上對創新、研究與有效知識傳播的投入,使其在學術領域持續發揮影響力。
Dr. Singh 是一位成就卓著的作者,曾撰寫多本著作,並廣泛獲印度及國際知名大學列為指定教材。她積極與世界各地的學術與研究機構合作,並在眾多學術會議中擔任主席、演講者、審稿人及科學委員會成員。
除了學術工作之外,她也主持 Sinhgad Data Centre,帶領技術解決方案、機構網站開發,以及身分識別與存取管理系統等相關計畫。Dr. Singh 是 IEEE 與 Engineering Council of India 的會員,持續對學術界、研究領域及產學合作作出重要貢獻。
Valentina Emilia Balas 是智慧系統與應用軟體工程領域中傑出的學者及享譽國際的研究人員。她目前任職於羅馬尼亞 Arad 的 'Aurel Vlaicu' University of Arad 工程學院自動控制與應用軟體系,擔任正教授。她於羅馬尼亞的 Polytechnic University of Timisoara 取得應用電子與電信博士學位,並以 cum laude(優異成績)畢業,展現其扎實的學術基礎與卓越的研究能力。
Dr. Balas 擁有卓越的研究成果,已在知名國際期刊與學術會議發表超過 400 篇論文,是推動現代計算技術發展的重要研究者。她的主要研究興趣包括智慧系統、模糊控制(fuzzy control)、軟體計算(soft computing)、智慧感測器、資訊融合,以及建模與模擬;這些領域對新興科技創新具有關鍵意義。
Dr. Balas 擔任 International Journal of Advanced Intelligence Paradigms (IJAIP) 與 International Journal of Computational Systems Engineering (IJCSysE) 的總編輯。她同時也是多本知名期刊編輯委員會的活躍成員。
此外,她也擔任國內外研究計畫與博士論文的專家評審,憑藉其專業與領導力,對全球學術與研究社群作出了重要貢獻。