《中國管理研究與實踐:復旦管理學傑出貢獻獎獲獎者代表成果集(2009)》是2011年出版的圖書,作者是石勇、唐立新、汪壽陽。
基本介紹
- 書名:中國管理研究與實踐:復旦管理學傑出貢獻獎獲獎者代表成果集(2009)
- 出版時間:2011年12月
- 裝幀:平裝
- 開本:16開
書籍信息
作者: | 石勇 唐立新 汪壽陽 著 | ||
定價: | 55 元 | 頁數: | 461頁 |
ISBN: | 978-7-309-08532-7/C.216 | 字數: | 659千字 |
內容簡介
本書適用於高等院校管理學領域的研究者,也可作為政府經濟管理部門工作人員、從事企業管理工作的基層管理者的參考用書。
圖書目錄
個人簡介
Several Multicriteria Programming Methods for Classification
Multiple Criteria Mathematical Programming for Multiclass Classification and Application in Network Intrusion Detection
A Multicriteria Convex Quadratic Programming Model for Credit Data Analysis
Classifying Credit Card Accounts for Business Intelligence and Decision Making:a Multiplecriteria Quadratic Programming Approach
Data Mining Via Multiple Criteria Linear Programming: Applications in Credit Card Portfolio Management
Optimal System Design with Multiple Decision Makers and Possible Debt:A Multicriteria De Novo Programming Approach
二、 唐立新學術成果匯集篇
個人簡介
The Charge Batching Planning Problem in Steelmaking Process Using Lagrangian Relaxation Algorithm
Simultaneously Scheduling Multiple Turns for Steel Colorcoating Production
Decision Support System for the Batching Problems of Steelmaking and Continuouscasting
Production
Scheduling A Single Semicontinuous Batching Machine A Mathematical Programming Model and Solution For Scheduling Production Orders in Shanghai Baoshan Iron and Steel Complex
A Review of Planning and Scheduling Systems and Methods for Integrated Steel Production
A Mathematical Programming Model for Scheduling Steelmakingcontinuous Casting Production
三、 汪壽陽學術成果匯集篇
個人簡介
Why Does Energy Intensity Fluctuate in China?
Evolving Least Squares Support Vector Machines for Stock Market Trend Mining
An Empirical Study on Information Spillover Effects Between the Chinese Copper Futures Market and Spot Market
Currency Crisis Forecasting with General Regression Neural Networks
An Integrated Data Preparation Scheme for Neural Network Data Analysis
Crude Oil Price Forecasting with TEI@I Methodology
A Novel Nonlinear Ensemble Forecasting Model Incorporating GLAR and ANN for Foreign Exchange Rates