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Author:

Li, Yongping (Li, Yongping.) | Huang, Gordon (Huang, Gordon.) | Yang, Zhifeng (Yang, Zhifeng.) | Nie, Songlin (Nie, Songlin.) (Scholars:聂松林)

Indexed by:

EI Scopus

Abstract:

In this study, a constraint-softened interval-fuzzy linear programming (CS-IFLP) method is developed for violation analysis of environmental management systems under uncertainty. CS-IFLP can deal with uncertainties presented in terms of fuzzy sets and intervals. Moreover, a number of fuzzy relaxation levels for system constraints are allowed, such that the relevant decision space can be expanded. This can help generate a range of decision alternatives under various system conditions, and facilitate in-depth analyses of tradeoffs among economic objective, satisfaction degree, and constraint-violation risk. The developed method is applied to a case study of long-term municipal solid waste management planning. Results indicate that reasonable solutions for both binary and continuous variables have been generated. A higher relaxation level could result in a lower system cost and a higher satisfaction degree, but with a higher constraint-violation risk. Results of the sensitivity analyses demonstrate that violated system constraints have various effects on the system cost and satisfaction degree. © Copyright 2009, Mary Ann Liebert, Inc.

Keyword:

Uncertainty analysis Fuzzy set theory Municipal solid waste Sensitivity analysis Cost benefit analysis Decision making Environmental management systems Waste management Linear programming

Author Community:

  • [ 1 ] [Li, Yongping]College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
  • [ 2 ] [Huang, Gordon]Environmental Systems Engineering Program, Faculty of Engineering, University of Regina, Regina, Canada
  • [ 3 ] [Yang, Zhifeng]State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, China
  • [ 4 ] [Nie, Songlin]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, China

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Source :

Environmental Engineering Science

ISSN: 1092-8758

Year: 2009

Issue: 8

Volume: 26

Page: 1335-1348

1 . 8 0 0

JCR@2022

ESI Discipline: ENGINEERING;

JCR Journal Grade:3

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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