Interactive two-stage stochastic fuzzy programming for water resources management

Shuo Wang, G. H. Huang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

71 Citations (Scopus)


In this study, an interactive two-stage stochastic fuzzy programming (ITSFP) approach has been developed through incorporating an interactive fuzzy resolution (IFR) method within an inexact two-stage stochastic programming (ITSP) framework. ITSFP can not only tackle dual uncertainties presented as fuzzy boundary intervals that exist in the objective function and the left- and right-hand sides of constraints, but also permit in-depth analyses of various policy scenarios that are associated with different levels of economic penalties when the promised policy targets are violated. A management problem in terms of water resources allocation has been studied to illustrate applicability of the proposed approach. The results indicate that a set of solutions under different feasibility degrees has been generated for planning the water resources allocation. They can help the decision makers (DMs) to conduct in-depth analyses of tradeoffs between economic efficiency and constraint-violation risk, as well as enable them to identify, in an interactive way, a desired compromise between satisfaction degree of the goal and feasibility of the constraints (i.e., risk of constraint violation).
Original languageEnglish
Pages (from-to)1986-1995
Number of pages10
JournalJournal of Environmental Management
Issue number8
Publication statusPublished - 1 Aug 2011
Externally publishedYes


  • Interactive fuzzy resolution
  • Interval
  • Policy analysis
  • Two-stage
  • Uncertainty
  • Water resources management

ASJC Scopus subject areas

  • Environmental Engineering
  • Waste Management and Disposal
  • Management, Monitoring, Policy and Law


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