New Concepts and Trends of Hybrid Multiple Criteria Decision Making
暫譯: 混合多準則決策的新概念與趨勢

Tzeng, Gwo-Hshiung, Shen, Kao-Yi

  • 出版商: CRC
  • 出版日期: 2020-06-30
  • 售價: $2,370
  • 貴賓價: 9.5$2,251
  • 語言: 英文
  • 頁數: 348
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 036757313X
  • ISBN-13: 9780367573133
  • 相關分類: Data-mining
  • 下單後立即進貨 (約2~4週)

商品描述

With the rising trend of big-data analytics in supporting decision making, multiple criteria decision making is more powerful when combined with state-of-the-art analytics and machine learning. This book introduces a new framework of MCDM and includes several real-world cases to illustrate the new hybrid approaches.

商品描述(中文翻譯)

隨著大數據分析在支持決策方面的興起,當多準則決策(MCDM)與最先進的分析技術和機器學習結合時,其威力更為強大。本書介紹了一個新的多準則決策框架,並包含幾個實際案例以說明這些新的混合方法。

作者簡介

Gwo-Hshiung Tzeng was born in 1943 in Taiwan. In 1977, he received a PhD degree course at Graduate School of Economics (major in management science) from Osaka University, Osaka, Japan. He serves as a chair professor at National Taipei University since 2013. Formerly He was an associate professor at National Chiao Tung University, Taiwan from 1977 to 1981, a research associate at Argonne National Laboratory from 1981 to 1982, a visiting professor in the Department of Engineering and Economic System, Energy Modeling Forum at Stanford University, from August 1997 to August 1998), a professor at National Chaio Tung University from 1981 to 2003, and a chair professor their from 2003 (lifelong), a President from 2004 to 2005 and distinguished chair professor from 2004 to 2013 at Kainan University. His current research interests include statistics, multivariate analysis, econometrics, network routing and scheduling, multiple criteria decision making, fuzzy theory, technology management, energy conservation, environment management, transportation systems and management, transportation planning and investment, logistics, location, urban planning, tourism management, electronic commerce, etc. He received the MCDM Edgeworth-Pareto Award from the International Society on Multiple Criteria Decision Making (June 2009), the world Pinnacle of Achievement Award in 2005, and the National Distinguished Chair Professor Award (highest honor offered) from the Ministry of Education Affairs of Taiwan in 2000.Kao-Yi SHEN received his Bachelor and Master degrees in Industrial Engineering from the Tunghai University in 1992 and 1998 respectively; and in 2002, he received the PhD degree in Business Administration from the Chengchi University in Taiwan. He worked as a senior analyst in the venture capital industry, and he also worked as a Marketing Manager and Head of Project Management in a Taiwan-based IT company. He developed more than 10 IT products, and he also owned several patents in TV-signals related applications in Taiwan, US, and China. He was an Assistant Professor from August 2009 to February 2015 and an associate professor from February 2015 to now at the Department of Banking and Finance in Chinese Culture University (SCE) in Taiwan, and he has published several papers to solve financial problems by using soft computing and MCDM methods in the journals like Soft Computing, Applied Soft Computing, Knowledge-based Systems, International Journal of Fuzzy Systems, etc..

作者簡介(中文翻譯)

郭希雄於1943年出生於台灣。1977年,他在日本大阪大學經濟研究所(主修管理科學)獲得博士學位。自2013年以來,他擔任國立臺北大學的講座教授。此前,他於1977年至1981年擔任國立交通大學的助理教授,1981年至1982年在阿貢國家實驗室擔任研究助理,1997年8月至1998年8月在史丹佛大學工程與經濟系能源建模論壇擔任訪問教授,1981年至2003年擔任國立交通大學的教授,並自2003年起擔任該校的講座教授(終身職),2004年至2005年擔任開南大學校長,並於2004年至2013年擔任該校的特聘講座教授。他目前的研究興趣包括統計學、多變量分析、計量經濟學、網路路由與排程、多準則決策、模糊理論、技術管理、能源節約、環境管理、交通系統與管理、交通規劃與投資、物流、地點選擇、城市規劃、旅遊管理、電子商務等。他於2009年6月獲得國際多準則決策學會頒發的MCDM Edgeworth-Pareto獎,2005年獲得世界成就巔峰獎,並於2000年獲得台灣教育部頒發的國家特聘講座教授獎(最高榮譽)。

沈高毅於1992年和1998年分別在東海大學獲得工業工程學士和碩士學位;2002年,他在國立政治大學獲得商業管理博士學位。他曾在風險投資行業擔任高級分析師,並在一家台灣IT公司擔任市場經理和專案管理負責人。他開發了超過10個IT產品,並在台灣、美國和中國擁有多項與電視信號相關的專利。他於2009年8月至2015年2月擔任中國文化大學(SCE)銀行與金融系的助理教授,並自2015年2月起擔任副教授,他在《Soft Computing》、《Applied Soft Computing》、《Knowledge-based Systems》、《International Journal of Fuzzy Systems》等期刊上發表了多篇論文,利用軟計算和MCDM方法解決金融問題。

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