Flexible workflow autonomic object intelligence algorithm based on extensible Mamdani fuzzy reasoning system

Run Xiao Wang, Xiu Tian Yan, Dong-Bo Wang, Qian Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)

Abstract

In order to improve the intelligence of flexible workflow under uncertainty, especially with fuzzy information, a flexible workflow based on multi-Autonomic Object (AOs) is proposed. The architecture of the AO based intelligence approach, as well as the principle of AO monitoring and executing are studied. Building on these, then an AO intelligence algorithm based on extended Mamdani fuzzy reasoning system is proposed, the architecture of AO fuzzy reasoning, the expression of AO knowledge, and the AO weighted fuzzy reasoning algorithm are investigated in detail. Finally the AO intelligence algorithm is demonstrated by a case study, followed by a detailed example.

Original languageEnglish
Title of host publicationGlobal Design to Gain a Competitive Edge
Subtitle of host publicationAn Holistic and Collaborative Design Approach Based on Computational Tools
EditorsXiu-Tian Yan, Benoit Eynard, William J. Ion
Place of PublicationLondon
PublisherSpringer
Pages251-260
Number of pages10
ISBN (Print)9781848002388
DOIs
Publication statusPublished - 1 Jan 2008
EventInternational Conference on Advanced Design and Manufacture (ICADAM 2008) - , China
Duration: 1 Jan 2008 → …

Conference

ConferenceInternational Conference on Advanced Design and Manufacture (ICADAM 2008)
CountryChina
Period1/01/08 → …

Keywords

  • autonomic computing
  • flexible workflow
  • fuzzy reasoning
  • algorithms
  • computational methods
  • design
  • fuzzy reasoning system
  • mamdani
  • weighted fuzzy reasoning

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