Demand-side energy management techniques, such as load shielding, shifting, and
delaying appliance operation during peak periods, are typically used to reduce electricity …

In this paper, different measures of interval-valued pentagonal fuzzy numbers (IVPFN)
associated with assorted membership functions (MF) were explored, considering significant …

Risk management has become one of the most important issues in the underground tunnel
construction due to the rapidly increasing scale. A hybrid approach integrating Building …

This paper proposes a novel hybrid approach that merges fuzzy matter element (FME),
Monte Carlo (MC) simulation technique, and Dempster–Shafer (D–S) evidence theory to …

The hazard of coal and gas outburst underground is extremely high, with complex
influencing factors and uncertain risk categorization. In this case, the traditional regional …

The safety condition assessment of prestressed concrete bridges is currently subject to great
uncertainty due to the subjectivity of data collection and data types. This study proposes an …

This paper presents a hybrid information fusion approach that integrates the cloud model
and the D–S evidence theory to perceiving safety risks using sensor data under uncertainty …

Intrusion detection systems (IDSs) are essential elements of IT systems. Their key
component is a classification module that continuously evaluates some features of the …

Today, we are in the era of making multi-criteria decisions based on analysis of available
data collected from autonomous databases that usually contain uncertain data. Skyline …

In this paper a possible simplification of a risk level calculation model's neuro-fuzzy
subsystem will be studied. The basic model has a hierarchical multilevel structure and uses …