$L$-fuzzy rough sets are extensions of the classical rough sets by relaxing theequivalence relations to $L$-relations. The topological structures induced by$L$-fuzzy rough sets have opened up the way for applications of topological factsand methods in granular computing. In this paper, we firstly prove thateach arbitrary $L$-relation can generate an Alexandrov $L$-topology.Based on this fact, w...

Abstract Exploration and prioritization of potentially mineralized areas by integrating different geoscientific datasets help to manage the time costs an exploration project. In this study, copper explored were done on Kerman belt, which was formed due subduction Arabian plate under Iranian plate. After processing layers (geology, hydrothermal alteration zones, stream sediment geochemistry, air...

Multivariate time series (MTS) data are ubiquitous in science and daily life, and how to measure their similarity is a core part of MTS analyzing process. Many of the research efforts in this context have focused on proposing novel similarity measures for the underlying data. However, with the countless techniques to estimate similarity between MTS, this field suffers from a lack of comparative...

In this paper, we present a revised similarity measure based onChen-and-Chen's similarity measure for fuzzy risk analysis. The revisedsimilarity measure uses the corrected formulae to calculate the centre ofgravity points, therefore it is more  effective than the Chen-and-Chen'smethod. The revised similarity measure can overcome the drawbacks of theexisting methods. We have also proposed a new ...

Energy costs are the key factors regarding selection of appropriate renewable energy (RWG) alternatives. All a power plant, such as investment, operation, maintenance, and repair considered in scope levelized costs. Therefore, for effective determination selling price energy, cost has guiding role. Because RWG alternatives develop sustainable production consumption long term, leading indicators...