Flood is a very destructive natural disaster in the world, which seriously threatens the safety
of human life and property. In this paper, the most popular convolutional neural network …

This paper presents a new approach for the treatment of uncertainty which is based on
interval-valued fuzzy-rough numbers (IVFRN). It is shown that by integrating the rough …

This paper presents a novel approach for treating uncertainty in the multi-criteria decision
making process by introducing interval rough numbers (IRN). The IRN approach enables …

Sažetak Facilitation of suitable accommodation for different travellers is the prime concern of
travel agencies. Travel agencies must keep themselves competitive and sustain a good …

The paper describes the application of a new multi-criteria decision-making (MCDM) model,
MultiAtributive Ideal-Real Comparative Analysis (MAIRCA), used to select a location for the …

This paper presents spatial mathematical model in order to identify sites for the wind farms
installment which can have significant support for the planners in the area of strategy and …

In today's world, industries are facing massive pressure to integrate sustainability issues for
efficient and successful supply chain management (SCM). Hence, worldwide it has become …

This paper evaluates the approach of imaging timeseries data such as EEG in the diagnosis
of epilepsy through Deep Neural Network (DNN). EEG signal is transformed into an RGB …

This study proposes a hybrid multiple criteria decision making (MCDM) methodology for
evaluating the performance of the Indian railway stations (IRS). Since the customers are …

Air overpressure (AOp) is one of the most adverse effects induced by blasting in the surface
mines and civil projects. So, proper evaluation and estimation of the AOp is important for …