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Application of fuzzy optimization method based on weight trend coefficient in assessment of water supply

  • Xue Sen Li*
  • , Ben De Wang
  • , Xian Zhang Ling
  • , Hui Cheng Zhou
  • *Corresponding author for this work
  • Dalian University of Technology
  • Liaoning Province Tanghe Reservoir Administration
  • School of Civil Engineering, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

In order to select a reasonable water supply scheme, a fuzzy pattern recognition model is proposed for evaluation and optimal selection of water supply decision schemes in inter-basin diversion system based on the existing fuzzy optimization model, adopting weight trend coefficient as evaluating indicator for the organic combination between subjective weight and objective developing trend of system and considering the amended subjective weight on the basis of this coefficient. The application of this model and its corresponding optimal method in engineering proves its feasibility. The new model takes the will of decision-makers as well as the objective development trend of the matter into account, and can be used to select the optimal scheme which agrees with the water resources development trend and real-time amendment weight trend coefficient according to the future development trend of water resources and water supply demand. In addition, this model effectively improves the active appraisal system for water supply schemes which only considers the subjective weight.

Original languageEnglish
Pages (from-to)138-141
Number of pages4
JournalHarbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology
Volume41
Issue number6
StatePublished - Jun 2009
Externally publishedYes

Keywords

  • Inter-basin diversion system
  • Objective development trend
  • Subjective weight
  • Water supply demand

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