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 …

Floods are natural disasters with significant socio-economic consequences. Urban areas
with uncontrolled urban development, rapid population growth, an unregulated municipal …

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 …

Floods are considered one of the most disastrous hazards all over the world and cause
serious casualties and property damage. Therefore, the assessment and regionalization of …

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 ability to deal with articulated objects is very important for robots assisting humans. In
this work, a framework to robustly and adaptively operate common doors, using an …

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 …

This paper presents a new model for developing a human resources portfolio based on a
neuro-fuzzy approach. The adaptive neural network is constructed based on the Boston …

With the globalization development of educational informatization, information technologies
such as Internet of Things, cloud computing and big data are constantly emerging. As the …