P. Lercher | PubMed Health

PubMed2002

Noise Annoyance Modelling using Fuzzy Rule Based Systems.

This paper presents a model that uses a fuzzy rule based engine to predict noise annoyance reported by individuals in a social survey. The rules are proposed by the human expert and are based on linguistic variables. The approach then adapts the sufficiency degree or certainty of a rule to tune the model to a particular survey. Although all possible relations between exposure, attitudinal, emotional, personal, environmental and social variables are not included in the model as yet, the benefits of the new approach are clearly demonstrated. A major limitation that remains is the varying theoretical and empirical basis of the expert for different subset of annoyance determinants. Future applications may include more accurate predictions of noise annoyance for policy support and extraction of knowledge concerning the construct of annoyance from surveys.

Journal Article↗

PubMed2000

A Review of Environmental Noise and Mental Health.

The question of whether environmental noise exposure causes mental ill-health is still largely unanswered. This paper reviews the studies of environmental and industrial noise and mental ill-health published between 1993 and 1998 and suggests possibilities for future research. Recent community based studies suggest high levels of environmental noise are associated with mental health symptoms such as depression and anxiety but not with impaired psychological functioning. Several studies find that self-reported noise sensitivity does not interact with noise exposure to lead to increased vulnerability to mental ill-health. Chronic aircraft noise exposure in children impairs quality of life but does not lead to depression or anxiety. Further research on environmental noise and mental health should be accompanied by more accurate and detailed measurement of noise exposure and consideration of the impact of other environmental stressors and careful measurement of confounding factors such as social class. Target study populations exposed to noise should be chosen to avoid those where noise exposure is likely to have led to noise sensitive individuals moving away from the area. There should also be greater use of standardised instruments to measure a wider range of mental health outcomes. Also other physiological outcomes such as hormonal measures could with benefit be measured simultaneously.

Journal Article↗