Many key societal problems share a set of common features – multiple interacting temporal and spatial scales, multiple valid perspectives, changing requirements and unquantifiable uncertainties. These characteristics substantially stress our cognitive and computational resources, limiting our capacity to effectively address these problems. We introduce an approach for dealing with the inherent ...

A multi-layer classification approach based on multi-scales and multi-features (ML–MFM) for synthetic aperture radar (SAR) images is proposed in this paper. Firstly, the SAR image is partitioned into superpixels, which are local, coherent regions that preserve most of the characteristics necessary for extracting image information. Following this, a new sparse representation-based classification...

This paper proposes a compromise model, based on a new method, to solve the multi-objective large-scale linear programming (MOLSLP) problems with block angular structure involving fuzzy parameters. The problem involves fuzzy parameters in the objective functions and constraints. In this compromise programming method, two concepts are considered simultaneously. First of them is that the optimal ...