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A new hybrid preference framework of the Graph Model for Conflict Resolution (GMCR) is proposed to facilitate modeling and analysis of conflicts involving two decision makers (DMs) with fuzzy levels of preference. The new preference structure, a hybrid of models of three-level strength of preference and fuzzy preference, provides a more flexible technique to express DMs' relative preferences among...
The division of the Association of Southeast Asian Nations (ASEAN) member states in South China Sea disputes brings up the question of how state coalitions form. Analysis of this issue often delves into specific factors such as the legality of territorial claims and each state's military and economic power. Generalized predictions of coalitions, however, require analysis of a variety of factors that...
Threshold graphs are recursive deterministic network models that capture properties of certain social and economic interactions. One drawback of these graph families is that they they have limited constrained generative attachment rules. To mitigate this problem, we introduce a new class of graphs termed Doubly Threshold (DT) graphs which may be succinctly described through vertex weights that govern...
The new generation of R&D personnel has unique personality characteristics and work values, which brings challenge for the human resource management in enterprises. Based on the literature analysis and in-depth interviews, this paper puts forward a five-dimension model of work values for the new generation of R&D personnel and makes an empirical test through the questionnaire survey and statistical...
Switching on/off nodes in a heterogeneous networking environment allows for efficient utilization of radio resources, and lowers the overall energy footprint of operating such a network. Early simulation results of such a mechanism being developed in the CONSERN project indicate a significant reduction in the Operator's energy and operational costs (OpEx) without any noticeable impact on end-user...
Portfolio with one risk-free and one risky assets was explored in \cite{BT1995, LO1999, SS2000, Gomes2005, Bassett2004, DGP2008, BG2009, HZ2009} for risk averse investors. Most of them, for example, \cite{BT1995, LO1999, SS2000, Gomes2005, Bassett2004, DGP2008} focus on empirical or numerical studies, except for some optimization problems solved simply by heuristics. Some analytical treatments have...
In order to achieve a clear purpose of value chain model, we sort out a number of factors, such as its participants, structure and mechanism, which influence mobile e-commerce value chain. This study applies and extends the value chain theory of Porter, and reconstructs it into two parts, the basic value chain (the value chain to achieve the conditions of mobile commerce) and supporting value chain...
The large-span annular tensile calbe-truss structural system is a new kind of economic and larger spanning spatial structure system. A new type of annular tensile cable-truss structures with rigid bars instead of stable cables is introduced. Ribbed cable-truss structure was taken as an example and its dynamic characteristics under full-span load and half-span load were analyzed by block Lanczos method...
In this paper, papers about grey system recorded by CSSCI (1998 ~ 2007) are collected and analyzed with statistical analysis and bibliometric analysis such as year distribution, journal distribution, subject distribution, the core author and the geographical distribution of the author. So we can identify the core author, core journals, research institutes and the law of research on grey system in...
Generally, it is a good starting-point and foundation for analyzing complex systems by establishing hierarchical structure, with interpretative structural modeling(ISM). It has been pointed out by many researchers that the traditional way to establish adjacency matrix in ISM has its limitation. In this paper the necessity and flexibility of integrating the grey relational analysis (GRA) for ISM is...
How to provide knowledge support for accurate and fast emergency decision making has always been a research focus. In this paper, we present a knowledge model for the representation and management of all kinds of disasters, and based on this knowledge model, a approach of extracting Feature Event (FE) and relationship between FEs from texts in emergency domain is proposed. And this can lay the foundation...
In agent bilateral multi-issue bidding negotiation protocol, how to make the negotiation agents gain satisfying result farthest and negotiate efficiently is a key issue. As for this problem, a genetic algorithm based on metropolis rule is present in the protocol and the algorithm is applied in bilateral multi-issue simultaneous bidding negotiation protocol in E-commerce. In the protocol, the negotiation...
Model-based testing techniques select test cases according to test goals, which might be coverage criteria or mutation adequacy. Complex criteria and large models lead to large test suites, and a test case created for one coverage item might cover several other items as well. Therefore, test case generation is optimized in order to avoid unnecessary test cases and minimize the test generation and...
Choosing the right test cases is an important task in software development due to high costs of software testing as well as the significance of software failures. Therefore, evaluating the quality of test techniques and test suites may help improving test results. Benchmarking has been successfully applied to various domains such as database performance. However, the difficulty in benchmarking test...
This position paper proposes a research agenda for the field of security testing. It gives a critical account of the state of the art as seen by a practitioner and identifies questions that research failed to answer so far, or failed to answer in such a way that it would have had an impact in the real world. Three categories of research problems are proposed: theory of vulnerabilities, theory of security...
The size of unified modeling language (UML) models used in practice is very large and ranges up to hundreds and thousands of classes. Querying of these models is used to support their quality assessment by information filtering and aggregating. For both, human cognition and automated analysis, there is a need for fast querying. In this context performance of model queries becomes an important issue...
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