The advent of Web 2.0 and its continuous growth has yielded enormous amounts of freely
available user-generated information. Within this information, it is easy to find subjective …

There are a few studies in the literature regarding possible types of uncertainty in input data
of multi‐criteria decision making (MCDM) or multi‐criteria decision analysis (MCDA) …

This paper aims to establish a unique Evidential Reasoning (ER) rule to combine multiple
pieces of independent evidence conjunctively with weights and reliabilities. The novel …

How to measure the complexity of physiological signals in biological system is an open
problem. Various entropy algorithms have been presented, but most of them fail to account …

A novel risk analysis approach is developed by merging interval-valued fuzzy sets (IVFSs),
improved Dempster-Shafer (DS) evidence theory, and fuzzy Bayesian networks (BNs) …

Uncertainty in the predictions of science when applied to the environment is an issue of
great current relevance in relation to the impacts of climate change, protecting against …

With the development of Internet technologies, the ship** industry has also entered the
Industry 4.0 era, which is the era of using information technology to promote industrial …

Failure mode and effect analysis (FMEA) has been widely adopted to define, identity, and
remove potential and recognized hazards. As an indicator in traditional FMEA, the risk …

his paper provides a review of multiple criteria decision analysis (MCDA) for cases where
attribute evaluations are uncertain. The main aim is to identify different tools which can be …

Failure mode and effects analysis (FMEA) is a methodology to evaluate a system, design,
process or service for possible ways in which failures (problems, errors, risks and concerns) …