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Yuan X.-H.,Dalian University of Technology | Liu Z.-L.,PLA National Defence University | Stanley Lee E.,Kansas State University
Computers and Mathematics with Applications | Year: 2011

In this paper, the construction and approximation problem of a single input and single output (SISO) fuzzy system with normal implication and center-of-gravity defuzzifier is discussed. First, the method of a non-singleton fuzzifier for the input variable and the concept of an adaptive universe for the output fuzzy set are proposed. Then, by using this method and this concept of an adaptive universe, SISO fuzzy systems based on center-of-gravity defuzzifier and normal implications such as the KleeneDienes implication or the Lukasiewicz implication are constructed. The constructed fuzzy systems have the general form S̄(x)=Ai*(x)f(xi)+Ai+1*(x)f(xi+ 1), with Ai*(x)+Ai+1*(x)=1, and, furthermore, they are universal approximators. The sufficient conditions for the proposed fuzzy systems to be universal approximators are also obtained. To illustrate the universal property, an example is also given. © 2011 Elsevier Ltd. All rights reserved. Source


Li X.,Zhejiang University | Xiang Z.,Zhejiang University | Zhang H.,Zhejiang University | Zhu Z.,PLA National Defence University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012

On the foundation of analyzing the existing classification, an acquisition method of extension transformation knowledge based on Decision Tree classification has been proposed The new-bored method re-mines and transforms the decision tree rules to "can't to can, not to yes" strategy which aims to provide targeted decision-making on the transformation of the customer churn by flexible use of the extension set and extension transformation theory. Its practice in a web company has proved that this method is highly feasible, and also has the reference value for other methods research based on Extenics. © 2012 Springer-Verlag Berlin Heidelberg. Source


Zhong Y.-B.,Guangzhou University | Deng Y.-Z.,Guangzhou University | Liu Z.-L.,PLA National Defence University | Yuan X.-H.,Dalian University of Technology
Advances in Intelligent Systems and Computing | Year: 2016

Fuzzy methods are widely used in the study of trustworthiness. Based on this fact, the paper researches the trustworthiness system (T-System) and probability distribution theory based on bounded product (B-P) implication and Larsen square (L-S) implication. Firstly, we convert a group of single-input and singleoutput data into fuzzy inference rules and generate fuzzy relation by selecting the appropriate fuzzy implication operator, then calculate joint probability density function of two-dimensional random variables by using of this fuzzy relation. Two specific probability density functions can be obtained by selecting the fuzzy implication as bounded product implication or Larsen square implication. Secondly, we study of the center-of-gravity trustworthiness system based on these two probability distributions. Finally, we gave the sufficient conditions of universal approximations for those trustworthiness systems. © Springer International Publishing Switzerland 2016. Source


Xu W.-C.,Academy of Armored force Engineering | Xue Q.,Academy of Armored force Engineering | Yu P.-G.,PLA National Defence University | Zheng C.-W.,Academy of Armored force Engineering
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2014

The research of modeling method of combat system is the base of combat system effectiveness evaluation, structure designing optimization and system survivability and synchronicity. When modeling combat system, it's necessary to stand out the role of C2, especially the role of information. Starting from FINC method, TOCF method was proposed based on OODA theory. The node unit of combat system complex network was extracted and the relation matrix was formed, and a directed combat net model was constructed with node attribute. Finally, compared with the old model, the results turn out that the TOCF method is better in modeling of combat system under the informationized condition. Source


Xiang W.,PLA Navy Submarine Academy | Zhang L.,Chinese Naval Aeronautical Engineering Academy | Yan W.,PLA National Defence University
Proceedings - 2012 IEEE Symposium on Robotics and Applications, ISRA 2012 | Year: 2012

To solve the development problems of current WETS (Weapons and Equipments Training Simulation Software), a development approach of WETS was presented. The WSML (Weapons and Equipments Training Simulation Software Modeling Language) metamodel was constructed on metamodeling method, covering both function and non-function, by logical separation and description of every part of the system and relations between them. A domain-oriented modeling language is generated from the metamodel by the metamodel interpreter. A user model can be constructed according to WSML, source code can be generated automatically by the model interpreter and an application system can be compiled. Lots applications indicated that this method support model reuse and can improve development efficiency of WETS. © 2012 IEEE. Source

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