Multiple Criteria Decision Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Multiple Criteria Decision Analysis

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Valerie Belton 作者
Springer
譯者
2001-10-31 出版日期
396 頁數
GBP 167.50 價格
Hardcover
叢書系列
9780792375050 圖書編碼

Multiple Criteria Decision Analysis 在線電子書 圖書標籤: MBS  商業  decisionmaking  decision  criteria  analysis  Research  PM   


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Multiple Criteria Decision Analysis 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Multiple Criteria Decision Analysis 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Multiple Criteria Decision Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Multiple Criteria Decision Analysis 在線電子書 著者簡介


Multiple Criteria Decision Analysis 在線電子書 著者簡介


Multiple Criteria Decision Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Multiple Criteria Decision Analysis 在線電子書 圖書描述

The field of multiple criteria decision analysis (MCDA) - also sometimes termed multiple criteria decision aid, or multiple criteria decision making (MCDM) - has developed rapidly over the past quarter century and in the process a number of divergent schools of thought have emerged. Multiple Criteria Decision Analysis: An Integrated Approach provides a comprehensive yet widely accessible overview of the main streams of thought within MCDA. Two principal aims are: * To provide sufficient awareness of the underlying philosophies and theories, understanding of the practical detail of the methods, and insight into practice to enable researchers, students and industry practitioners to implement MCDA methods in an informed manner; * To develop an integrated view of MCDA, incorporating both integration of different schools of thought within MCDA and integration of MCDA with broader management theory, science and practice, thereby informing the development of theory and practice across these areas. It is felt that this two-fold emphasis gives a book which will be of value to the following three groups: * Practicing decision analysts or graduate students in MCDA for whom this book should serve as a state-of-the-art review, especially as regards techniques outside of their own specialization; * Operational researchers or graduate students in OR/MS who wish to extend their knowledge into the tools of MCDA; * Managers or management students who need to understand what MCDA can offer them.

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