找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Quantitative Models for Performance Evaluation and Benchmarking; Data Envelopment Ana Joe Zhu Book 2014Latest edition Springer Internationa

[复制链接]
楼主: Flippant
发表于 2025-3-23 11:51:29 | 显示全部楼层
Joe Zhuinly Soft Computing Methods that include fuzzy sets, rough sets, neural networks, evolutionary computations, probabilistic and evidential reasoning, multivalued logic, and related fields. There is not doubt about the relevance of eCommerce in our daily environ­ ments and in the work carried out at m
发表于 2025-3-23 17:51:46 | 显示全部楼层
发表于 2025-3-23 19:23:16 | 显示全部楼层
发表于 2025-3-24 02:00:04 | 显示全部楼层
发表于 2025-3-24 03:55:24 | 显示全部楼层
Envelopment DEA Models,. 13. This is because the best-practice (or efficient) frontiers can be viewed as exhibiting of various types of RTS. However, if the inputs and outputs are not related to a “production function”, RTS concept cannot be applied. Under such cases, RTS is merely used to refer to different shapes of frontiers.
发表于 2025-3-24 08:55:31 | 显示全部楼层
DEA Cross Efficiency,e are mainly two advantages for cross-evaluation method. It provides an ordering among DMUs and it eliminates unrealistic weight schemes without requiring the elicitation of weight restrictions from application area experts.
发表于 2025-3-24 12:44:43 | 显示全部楼层
Context-dependent Data Envelopment Analysis,e appears large when surrounded by small circles and small when surrounded by larger ones. Similarly a product may appear attractive against a background of less attractive alternatives and unattractive when compared to more attractive alternatives.
发表于 2025-3-24 15:31:10 | 显示全部楼层
发表于 2025-3-24 21:51:37 | 显示全部楼层
发表于 2025-3-25 02:04:55 | 显示全部楼层
Envelopment DEA Models,s are called envelopment models, because the identified best-practice frontier envelops all the observations (DMUs). The shapes of best-practice (or efficient) frontiers obtained from these models can be associated with the concept of Returns-to-Scale (RTS) which will be discussed in details in Chap
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-2 08:45
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表