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Shenyang, China

Liaoning University is one of the leading universities listed in the nation's "Project 211" and affirmed by the Ministry of Education. It is a university in Liaoning, People's Republic of China. It is located in the northern part of Shenyang. The September 1958 saw the amalgamation of the Northeast Institute of Finance and Economics, Shenyang Normal College and Shenyang Institute of Russian, which led to the birth of Liaoning University. Marshal Zhu De, one of the founders of the People's Republic of China, wrote the inscription of the school name for the University. At present, the University has an area of 2,138 mu, i.e. 1,420,000 square meters , with a building area totaling 600, 000 square meters. The University has fifteen colleges, namely: College of Liberal Arts, College of Economics, College of Business Administration, College of International Relations, Asia-Australia College of Business, College of Philosophy and Public Administration, College of Foreign Languages, College of Radio, Film and Television, College of Chemical Science and Engineering, College of Law, College of Information Science and Technology, College of Higher Professional Techniques, College of Adult Education, College of Foreign Students, and College of Training Self-Study Students of Humanities and Professional Techniques. In addition to the colleges, the University has five college-level faculties, namely: Faculty of History, Faculty of Mathematics, Faculty of Physics, Faculty of Life Science and Faculty of Environment Science. Altogether, the University has forty-three undergraduate disciplines, fifty-three master-degree-granting disciplines, including MBA and JM. The University is also invested with authority to grant doctorate of philosophy in theoretical economics and nine other doctorates . Furthermore, the University has three mobile stations for post-doctoral studies to its credit, with two national key disciplines of world economy and national economy in addition to a base for cultivating personnel of basic national economy, and a key base for research on humanities, and a center of research on the system of comparative economy as designated by the Ministry of Education. The University has eleven province-level key disciplines and one test and detection center. At present, Liaoning University has a teaching body of 1,116 full-time faculty members, among whom there are six hundred and fourteen professors and associate professors. The University has 18,700 students of different kinds, ranging from undergraduates and graduate students to foreign students. Since it was founded, Liaoning University has established formal friendly relationships of academic cooperation and interflow with over forty higher schools and research institutions in fourteen countries, and has since fostered over a hundred thousand full-time students for the country and over 5,000 foreign students as well from forty-two countries including the United States, Japan, Russia, Italy, the United Kingdom, France, the Republic of Korea, and Thailand. The University's library with its 18,500 square meter building area, equipped with modern advanced facilities, is stocked with over 1.6 million volumes, including over 300 kinds of rare and treasured books, which are affirmed by the United Nation as the exclusive possessions of the University's library. The University also has a history museum and a museum of natural history. They have a collection of over two thousand pieces of art treasures and eleven thousand pieces of biological specimens respectively. Currently, Liaoning University has established relationships with universities around the world, such as the University of Michigan, Waseda University, George Mason University, Indiana State University, California State University, Ozyegin University , and Toyama University. Wikipedia.

Guo K.,Liaoning University
IEEE Transactions on Fuzzy Systems | Year: 2014

The ranking of Atanassov's intuitionistic fuzzy values (A-IFVs) is nontrivial because there is no natural linear order among them, as opposed to fuzzy sets. In this paper, we tackle this difficult problem and develop a new novel technique for ranking A-IFVs based on amount of information using the geometrical representation of Atanassov's intuitionistic fuzzy sets (A-IFSs), with the aim of overcoming some drawbacks and ambiguities in existing methods and to build a new ranking model in the A-IFS context from the viewpoint of amount of information. We prove that the order on nonempty A-IFVs induced by our function is admissible in the A-IFS context. Thus, our developed method provides a total order that extends the usual partial order between A-IFVs. Moreover, we discuss the role that a decision maker's attitude can play in decision making under uncertainty. This allows us to introduce the idea of attitudinal-based extension of our developed technique, which is much more useful and flexible in real-world applications. By this, we also provide a new idea and explanation to evaluate two special A-IFVs: the completely known opposition (0,1,0) and the completely unknown information (0,0,1). Finally, an effort is made to extend the applicability of the developed methods by considering the situation in which Atanassov's interval-valued intuitionistic fuzzy sets are involved. Experimental studies show the good performance of the developed methods in the A-IF and A-IVIF situations, respectively. © 2013 IEEE. Source

This paper investigates the stability intervals of time-delays for fractional-order retarded time-delay systems. By the Orlando formula, the existence of the crossing frequencies is brought to verify the stability related to the commensurate time-delay. For each crossing frequency, the corresponding critical time-delays are determined by the generalized eigenvalues of two matrices constructed by the crossing frequency, the commensurate fractional-order and the coefficients of the characteristic function. The root tendency (RT) is defined to provide a method to analyze the number of the unstable roots for a given crossing frequency and critical time-delay. Based on the RT values and the number of the unstable roots for fractional-order systems with no time-delay, a computing method on the stability intervals of time-delay is proposed in this paper. Finally, a numerical example is offered to validate the effectiveness of this method. © 2014 Elsevier Ltd. All rights reserved. Source

Wang Q.,Liaoning University
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | Year: 2012

A novel DC-rail parallel resonant zero voltage transition soft-switching inverter was proposed to achieve high efficiency and high performance in the inverter. Auxiliary resonant unit was added to DC link of conventional inverter to realize soft-switching operation of all switching devices in the inverter. Switching devices in the auxiliary resonant unit could also be operated under soft-switching. In addition, the bulk capacitor was avoided in the circuit and there was no center tap potential variation problem. Power ratings of the resonant components and auxiliary switches the proposed circuit required are small. The control is simple and less dependant on load current. The equivalent circuits at different operation modes, the analysis of the circuit and the method of parameter design were presented. A 10 kW laboratory prototype had been built. Experimental results were proposed to confirm validity of soft-switching inverter presented. © 2012 Chinese Society for Electrical Engineering. Source

Guo K.,Liaoning University | Li W.,Dalian University of Technology
Information Sciences | Year: 2012

Converting hybrid data in multiple attribute decision making (MADM) under uncertainty into intuitionistic fuzzy values (IFVs) is significant because the flexibility in handling vagueness or uncertainty of the latter can avoid the loss and distortion of the original decision information and thus guarantee the mildness of fuzzy MADM and the reliability of the final decision results. In this paper, we develop an attitudinal-based method for constructing intuitionistic fuzzy information according to the attribute values expressed in different data types in hybrid MADM. By introducing a basic unit-interval monotonic (BUM) function Q, we extract the attitudinal character from a person's information about his/her decision attitude, and formalize the person's subjective opinions against alternatives as IFVs based on the expected attribute values associated with attitude Q, thus transforming a hybrid decision matrix, with full consideration of a person's attitude, into an intuitionistic fuzzy decision matrix. The intuitionistic fuzzy aggregation operators are then used to aggregate the intuitionistic fuzzy attribute values of each alternative and a new approach is employed to rank these intuitionistic fuzzy alternatives based on the amount of information and its reliability. Finally, an example is provided to illustrate the proposed approach and to examine its feasibility and validity. © 2012 Published by Elsevier Inc. All rights reserved. Source

In order to study the temperature changing rule of the crude oil in the storage tank, the wavelet finite element method, the traditional finite element method and the test were used to carry out the numerical simulation. Firstly, the thermal wavelet finite element was put forward established based on thermal finite element theory and the wavelet theory. And the computational model and three boundary conditions were established. And then the temperature changing rule of the crude oil in the storage tank in 24 h for three boundary conditions was obtained by using three methods, and the results showed that the wavelet finite element method had advantages in the numerical analysis of the temperature changing rule of the crude oil in the storage. And then the temperature distribution rule of the crude oil in the storage tank under different conditions in 5 h was obtained. And the temperature changing mechanism of the crude oil was summarized finally. © 2011 Akadémiai Kiadó, Budapest, Hungary. Source

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