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We suggest a distance measure for OWA operators. First we associate an OWA operator with a unique regular increasing monotone quantifier and then define the distance between two OWA operators as the Wasserstein-1 distance between their associated ...

Besides the mean, the median is the most widely used single-valued descriptor of data sets. It is well-known that the orness level of the median operator is 1/2. In this paper we provide approximations of the median operator under a given level ...

• Internal cluster validity indices are often used to determine grouping quality.

Internal cluster validity measures (such as the Calinski–Harabasz, Dunn, or Davies–Bouldin indices) are frequently used for selecting the appropriate number of partitions a dataset should be split into. In this paper we consider what ...

For rice pest management, decision makers base on not only experience but also information synthesized from data sources to make plans for controlling rice pests, these information are key inputs to reveal potential global rice pestrisk levels at ...

This paper proposes a general optimization model for determining ordered weighted averaging (OWA) operators and three specific models for generating monotonic and symmetric OWA operators, as well as those with any function shape. In these models, ...

We present a reverse decision-aiding method that is distinct from previously reported ordered weighted averaging (OWA) aggregation methods. The proposed method is implemented in two phases. In the first phase, potentially best alternative, defined as ...

The quantifier-guided aggregation is used for aggregating the multiple-criteria input. Therefore, the selection of appropriate quantifiers is crucial in multicriteria aggregation since the weights for the aggregation are generated from the selected ...