摘要在全球信息化快速发展的背景下, 大数据已经成为一种战略资源. 各行各业的决策活动在频
度, 广度及复杂性上较以往有着本质的不同. 决策过程中的不确定性因素增多 …

The recommender systems play an important role in our lives, since it can quickly help users
find what they are interested in. Collaborative filtering has become one of the most widely …

With urbanization, there is a growing need for mobility. Challenges for urban drivers include
finding available parking spaces. Searching for a parking spot can be a frustrating …

Modern manufacturing world is a super competitive place. To sustain in this environment,
manufacturing organizations need a bit more of effectiveness, flexibility and innovation while …

Due to the limitations associated with the use of a single type of data during the
recommendation process, recent research has focused on developing new fusion-based …

On-line solution of constrained optimization problems is an essential requirement for a
secure, reliable and economic smart grids operation. In this context, the stream of data …

In this paper, we propose a new method called 2-probabilities focused combination for
combining information about user preferences on products or services in recommender …

Combination rules in the Dempster–Shafer theory aim to summarize multiple corpuses of
evidence that come from different sources. However, these summarizations are …

Computer field supports the existence of auxiliary program in medical development that is
expert knowledge-based system, this system is one branch of Artifical Intellegence (AI) …

Designing effective menu systems is a key ingredient to usable graphical user interfaces.
This task generally relies only on human ability in building hierarchical structures. However …