Multi-objective programming is commonly used in the literature when conflicted objectives
arise in solving optimization problems. Over the past decades, classical optimization …

Recently, the world is experiencing generating the huge amount of data in different domains.
Data mining and Data analytics and are the practices used for analyzing data and extracting …

In this paper, we propose a clustering and reclassification method for movie
recommendation. We use the improved K-means algorithm to cluster according to the scores …

In order to explore a quantitative and multiobjective optimization method of land use spatial
allocation, this paper proposes a multiobjective algorithm for urban land spatial layout …

Distance measures have recently been studied in-depth within the context of hesitant fuzzy
sets. The authors analyze existing research on the distance measures of hesitant fuzzy sets …

With the development of China's economy, it is required to change the mode of economic
growth, from extensive growth mode to intensive growth mode. Therefore, the research on …

As the terminal of the train maintenance network, vehicle sensors are deployed in large
quantities on the bogies of high-speed rail vehicles to collect signals such as axle …