Factorial fuzzy programming for planning water resources management systems

Yang Zhou, Gordon Huang, Shuo Wang, Zhong Li, Ya Zhou

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)

Abstract

In this paper, we propose a factorial fuzzy programming (FFP) approach for planning water resources management systems. The conventional fuzzy method cannot reflect the interactions among uncertain system parameters nor quantify their interactive effects. This may lead to important interrelationships among system parameters being neglected in systems analysis, and the derived decisions may not be robust enough to support the management under uncertainties. The objective of this study is to develop an FFP approach to deal with such interactive uncertainties. Factorial analysis (FA) was integrated with the fuzzy technique to quantify the effects of multiple fuzzy modeling parameters on the system performance and to reveal their implicit interrelationships. A flood-diversion planning case was studied to illustrate the applicability of the FFP approach. The individual and interactive effects of fuzzy parameters on the system objectives were evaluated. The influential effects were identified and the implicit interrelationships within influential interactions were revealed.
Original languageEnglish
Pages (from-to)1855-1872
Number of pages18
JournalJournal of Environmental Planning and Management
Volume59
Issue number10
DOIs
Publication statusPublished - 2 Oct 2016
Externally publishedYes

Keywords

  • decision-making
  • factorial analysis
  • fuzzy vertex method
  • uncertainty
  • water resources management

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Water Science and Technology
  • Environmental Science(all)
  • Fluid Flow and Transfer Processes
  • Management, Monitoring, Policy and Law

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