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Group decision making is an essential activity in various fields of operations research and management science. This paper focuses on the intuitionistic fuzzy group decision making problem in which all the experts use the intuitionistic fuzzy preference relations (IFPRs) to express their preferences. To start our discussion, we first propose the novel framework of intuitionistic fuzzy group decision...
Recommender system is an effective way to help users to find the required information. In the social network, the recommendation is often from one user to another user. Therefore, it is necessary to determine how the two users trust each other. However, much work has paid more attention to the one-to-one trust relationship but ignored the many-to-one relationship. In this paper, we proposed a hybrid...
Every company listed on the London Stock Exchange is classified into an industry sector based on its primary activity, however, it may be both more interesting and valuable to group similarly performing companies based on their historical stock price record over a long period of time. Using fuzzy clustering analysis with a correlation-based metric, we obtain a more insightful categorization of the...
It is not so simple to get an appropriated level of search result among a large number of targets which might be too general or too specific. Hints for the query are valuable for a user to expand or shrink his next search step, if the hints would be shown with their levels compared with the user's original query. This paper proposes a method to extract feature words of the same level as user's query...
When starting new research or summarizing the results of research, it is necessary to review related work in the same research field. The research review requires several point of views such as ``problem'', ``method'', ``result''. Simple search by keywords is not effective to specify and narrow-down the scope of search for these meta purpose. In this paper, we focus on sentences to improve the efficiency...
This paper investigates the universal fuzzy models problem and universal fuzzy controllers problem for discrete-time general nonlinear systems based on a class of generalized T-S fuzzy models. The generalized T-S fuzzy models, which are shown to be universal function approximators, are also proved to be universal fuzzy models for non-affine nonlinear systems under some sufficient conditions. The results...
Various viewpoints are required to make a survey and a trend analysis on related research. In order to find important problems, especially in unfamiliar field, simple search and clustering is not enough. We have to read most of the articles carefully. The work requires a lot of time and effort. This paper analyzes the sentences that describe the problem using SVM. It turned out the negative words...
Serious ice covering on transmission line will make the line overload. As a result, it may cause many problems to equipments of the power system, such as power towers falling down, lines broken, icing flashover, network disconnecting and so on. With the development of power grid, there are more and more ring networks in the grid. Considering the unique structure of this network, this paper proposes...
This paper addresses the problem of fetal electrocardiogram (FECG) extracion using recursive least squares (RLS) and normalized least mean squares (NLMS) adaptive algorithms based adaptive noise canceling (ANC) approach. The simulation results are compared with the classical adaptive filters, such as RLS, NLMS and LMS algorithms, for eliminating the maternal electrocardiogram (MECG) and hence to extract...
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