Inexact fuzzy integer chance constraint programming approach for noise control within an urban environment

This article introduces an inexact fuzzy integer chance constraint programming (IFICCP) approach for identifying noise reduction strategy under uncertainty. The IFICCP method integrates the interval programming and fuzzy chance constraint programming approaches into a framework, which is able to dea...

Full description

Saved in:
Bibliographic Details
Published in:Engineering optimization Vol. 48; no. 8; pp. 1350 - 1364
Main Authors: Huang, Kai, Huang, Gordon, Dai, Liming, Fan, Yurui
Format: Journal Article
Language:English
Published: Abingdon Taylor & Francis 02.08.2016
Taylor & Francis Ltd
Subjects:
Confidence intervals
Fuzzy
fuzzy chance constraint
Integer programming
Integers
interval
Intervals
Noise control
Noise reduction
Programming
system optimization
Theory of constraints
uncertain analysis
Uncertainty
ISSN:0305-215X, 1029-0273
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This article introduces an inexact fuzzy integer chance constraint programming (IFICCP) approach for identifying noise reduction strategy under uncertainty. The IFICCP method integrates the interval programming and fuzzy chance constraint programming approaches into a framework, which is able to deal with uncertainties expressed as intervals and fuzziness. The proposed IFICCP model can be converted into two deterministic submodels corresponding to the optimistic and pessimistic conditions. The modelling approach is applied to a hypothetical control measure selection problem for noise reduction. Results of the case study indicate that useful solutions for noise control practices can be acquired. Three acceptable noise levels for two communities are considered. For each acceptable noise level, several decision alternatives have been obtained and analysed under different fuzzy confidence levels, which reflect the trade-offs between environmental and economic considerations.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
ISSN:0305-215X
1029-0273
DOI:10.1080/0305215X.2015.1107336