Feature selection and instance selection are two important data preprocessing steps in data
mining, where the former is aimed at removing some irrelevant and/or redundant features …

Abstract Machine learning techniques are being increasingly used for detection and
diagnosis of diseases for its accuracy and efficiency in pattern classification. In this paper …

Diagrids are the efficient systems of tube structures for tall buildings. One of the design
considerations for these structures is the geometrical pattern of the system. In this paper, a …

Traditional fuzzy set methods, designed around the finest granularity of inputs-individual
points and their membership degrees-often struggle with inefficiencies and label noise. To …

To fulfill the increasing demand for housing in urban cities, various systems of tall buildings
have been introduced tackling the design challenges. Topology design, which can get along …

In this paper, a novel Takagi-Sugeno-Kang (TSK) fuzzy classification system (FCS) is firstly
presented for pattern classification tasks. It is distinguished by having the large margin …

This paper concerns several important topics of the Symmetry journal, namely, pattern
recognition, computer-aided design, diversity and similarity. We also take advantage of the …

We propose a parallel distributed model of a hybrid fuzzy genetics-based machine learning
(GBML) algorithm to drastically decrease its computation time. Our hybrid algorithm has a …

Considering that the effect of solar radiation on the super‐high arch dam temperature field
remains poorly studied, the calculation accuracy of dam temperature deformation is unable …

The superior interpretability and uncertainty modeling ability of Takagi-Sugeno-Kang fuzzy
system (TSK FS) make it possible to describe complex nonlinear systems intuitively and …