Solution to multi-objective fuzzy optimization dynamic programming with uncertain information

Yingwei Jin, Hong Shen, Keqiu Li, Zhongxian Chi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Uncertain information will often exist in a complicated system which may result from many reasons. The accuracy of the conclusion will definitely be influenced without taking this uncertain information into consideration in the process of decision-making. By considering these uncertain factors, the solution proposed in the essay to multi-objective fuzzy optimization dynamic programming makes itself more universal.

Original languageEnglish
Title of host publicationProceedings - Sixth International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2005
Pages979-984
Number of pages6
Publication statusPublished - 2005
Externally publishedYes
Event6th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2005 - Dalian, China
Duration: 5 Dec 20058 Dec 2005

Publication series

NameParallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings
Volume2005

Conference

Conference6th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2005
Country/TerritoryChina
CityDalian
Period5/12/058/12/05

Keywords

  • Dynamic programming
  • Multi-objective fuzzy optimization
  • Uncertainty

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