您当前所在位置: 首页 > 学者
在线提示

恭喜!关注成功

在线提示

确认取消关注该学者?

邀请同行关闭

只需输入对方姓名和电子邮箱,就可以邀请你的同行加入中国科技论文在线。

真实姓名:

电子邮件:

尊敬的

我诚挚的邀请你加入中国科技论文在线,点击

链接,进入网站进行注册。

添加个性化留言

已为您找到该学者13条结果 成果回收站

上传时间

2009年03月24日

【期刊论文】一种激励相容的电力市场双边拍卖机制

王先甲, 殷红

电力系统自动化,2004,28(18):7~15,-0001,():

-1年11月30日

摘要

电力市场竞价机制设计是目前电力市场改革中亟待解决的重要问题。文中针对有多个发电商和多个客户参加的电力市场竞价,设计出一个激励相容的双边拍卖机制。此机制在描述电力市场竞价规则的基础上,设计出符合电力市场特点的出清和交易规则。该机制不仅能保证电力市场实时出清,实现电力的经济调度和有效分配,而且能诱导风险规避的发电商申报真实的边际成本和用户披露真实的用电价值信息。最后,通过算例及其实现方法证实了该机制的有效性和实用性。

双边拍卖, 电力市场, 激励相容, 交易成本, 归一价格

上传时间

2009年03月24日

【期刊论文】SUBJECTIVE TRADE-OFF RATE METHOD OF MULTIOBJECTIVE DECISION-MAKING1

王先甲, Wana Xianiia, Wang Qiuting, Feng Shangyou

ACTA MATHEMATICA SCIENTLA, 1996, 16 (4): 432-441,-0001,():

-1年11月30日

摘要

This paper proposes a mathod of subjective trade-off rate which describles decision-maker's preferince in multiobjective decision-making. Decision-maker can arbitrarity determine his subjective trade-off rate, but it is not sure to be effective.The paper finds an effective upper bound of subjective trade-off rate, which is the KuhnTucker multiplier of some mathematical programming. For the subjective trade-off rate not being larger than the upper bound, the solving method and properties of the optimal solution corresponding the trade-off rate are discussed. The paper lastly develops the process of solving multiobjective decision-making with the subjective trade-off rate mcthod.

Multiobjective decision-making,, Subjective trade-off rate,, Kuhn-Tucker multiplier.,

上传时间

2009年03月24日

【期刊论文】Consistence and Grouping Consistence of Statistical Inference in the Dempster-Shafer Theory of Evidence

王先甲, Xianjia Wang, , Xiaoxin Kuang, Zhengfu Rao, Jian-Bo Yang

,-0001,():

-1年11月30日

摘要

The Dempster-Shafer theory of evidence is one of the most widely used frameworks for uncertainty inference. According to Shafer [11], there are two methods for assessing statistical evidence. The first method is to construct belief functions based on physically independent observations and then calculate the orthogonal sum by using Dempster's rule of combination. The second method is that the observations may be treated as a compound observation and a belief function can then be directly constructed by using product chance density. It is well known that the calculation of the Dempster's rule of combination is exponential in nature whilst using the product probability density function could simplify the calculation. It would therefore be of great interest to investigate consistence between the two methods, which is indeed the theme of this paper. Both sufficient and necessary conditions for such consistence will be developed in this paper. In addition, we will investigate the grouping consistence of observations that do not satisfy the consistence conditions, and also discuss the geometric meanings of the consistence and grouping consistence.

Dempster-Shafer theory of evidence, Statistical evidence inference, Dempster', s rule of combination, Belief function

合作学者

  • 王先甲 邀请

    武汉大学,湖北

    尚未开通主页