通讯机构：
State Education Department Key Laboratory for Image Processing and Intelligence Control, Institute of Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, China
摘要：
The formula of a similarity measure defined by σ-entropy is simplified depending upon universal calculate formula of σ-entropy, and prove two important propositions by this formula. Our conclusions lay a foundation of answering the problem that not be solved by Liu.
摘要：
In this paper, we designed a Electrical Power Management Information System(EPMIS), which facilitates a integrated retrieval of data from several distributed database on the network. We propose the EPMIS structure which relies on a global replicated data and a local information database. And several key techniques in the EPMIS are illuminated.
摘要：
Based on ideal absolute errors and relative errors, a new grey model-GM{sup}p(1,1) model is presented. The existence problem of its solution is also solved based on a few conditions. Then MGM{sup}p(1,n) model is presented. These optimized models GM{sup}p(1,n) and MGM{sup}p(1,n) have good anti-noise property to absolute and relative errors. Examples illustrate that they have very good fitting and forecasting results.
期刊：
DCABES 2004, Proceedings, Vols, 1 and 2,2004年:1084-1086
通讯作者：
Tong, XJ
作者机构：
[Tong, XJ; Gao, ZH; Yuan, ZY] Wuhan Polytech Univ, Dept Math & Phys, Wuhan 430023, Peoples R China.
通讯机构：
[Tong, XJ] W;Wuhan Polytech Univ, Dept Math & Phys, Wuhan 430023, Peoples R China.
关键词：
fuzzy set;similarity measure;entropy
摘要：
It is well known that the similarity measure can be induced from entropy of fuzzy sets, we prove that this existing kind of similarity measure all satisfies the proposition, that is, the similarity measure of two fuzzy sets equals to that of their complementary sets. But the mutual subset hood does not content this proposition. We construct a new kind of similarity measure depending on entropy, and it doesn't meet this proposition.
期刊：
DCABES 2004, Proceedings, Vols, 1 and 2,2004年:1102-1104
通讯作者：
Tong, XJ
作者机构：
[Tong, XJ; Xu, XZ; Li, ZJ] Wuhan Polytech Univ, Dept Math & Phys, Wuhan 430074, Peoples R China.
通讯机构：
[Tong, XJ] W;Wuhan Polytech Univ, Dept Math & Phys, Wuhan 430074, Peoples R China.
关键词：
fuzzy set;similarity measure of fuzzy set;vector
摘要：
Almost present similarity measure of fuzzy set is rooted in the relation of equivalence of the equality of sets. A fuzzy set can be considered a vector, and make use of the equality of two vectors, we propose a similarity measure of two fuzzy sets, which do not meet the relation of equivalence of the equality of sets.
期刊：
Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826),2004年4:1981-1984
通讯作者：
Tong, XJ
作者机构：
[Zhang, SM; Tong, XJ; Xu, J] Wuhan Polytech Univ, Dept Math & Phys, Wuhan 430074, Peoples R China.
通讯机构：
[Tong, XJ] W;Wuhan Polytech Univ, Dept Math & Phys, Wuhan 430074, Peoples R China.
会议名称：
International Conference on Machine Learning and Cybernetics
会议时间：
AUG 26-29, 2004
会议地点：
Shanghai, PEOPLES R CHINA
会议主办单位：
Wuhan Polytech Univ, Dept Math & Phys, Wuhan 430074, Peoples R China.
关键词：
fuzzy set;sigma - similarity measure;the universal calculate formula
摘要：
The universal calculate formula or σ-similarity measure of fuzzy sets is deduced by depending upon the σ-additivity, and the proposition or σ-slmllarity measure Is discussed by this universal calculate formula. Acrordlng this formula, we can lind that the slmllarity measure des to l
<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</sup>
-distance has σ-additivity only if p = 1.
