A Human-Computer Cooperation Fuzzy c-Means Clustering with Interval-Valued Weights
In this paper, a fuzzy c-means clustering algorithm based on interval-valued weights is proposed for improving clustering performance. In the proposed algorithm, the interval-valued weights are first constructed by synergy of the ReliefF algorithm and ...
Exploring Temporal Structure of Trajectory Components for Action Recognition
Action recognition is one of the most important components for video analysis. In addition to objects and atomic actions, temporal relationships are important characteristics for many actions and are not fully exploited in many approaches. We model the ...
Group Decision Making by Using Incomplete Fuzzy Preference Relations Based on T-Consistency and the Order Consistency
The existing group decision making techniques may not satisfy the order consistency for aggregation in some cases. The algorithm proposed in this paper overcomes the weaknesses of the existing techniques. The method determines the unknown preferences ...
Weakly Monotonic Averaging Functions
Monotonicity with respect to all arguments is fundamental to the definition of aggregation functions. It is also a limiting property that results in many important nonmonotonic averaging functions being excluded from the theoretical framework. This work ...
A New Family of Induced OWA Operators
A new family of induced ordered weighted averaging OWA operators is proposed by invoking the order-inducing variables at the aggregation step. The objective is to consider the variations in the magnitudes of the order-inducing variables. The new family ...
