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

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

doi:10.1007/978-1-84800-239-5_25

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

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

^*Corresponding author for this work

Design, Manufacturing And Engineering Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

4 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 language	English
Title of host publication	Global Design to Gain a Competitive Edge
Subtitle of host publication	An Holistic and Collaborative Design Approach Based on Computational Tools
Editors	Xiu-Tian Yan, Benoit Eynard, William J. Ion
Place of Publication	London
Publisher	Springer
Pages	251-260
Number of pages	10
ISBN (Print)	9781848002388
DOIs	https://doi.org/10.1007/978-1-84800-239-5_25
Publication status	Published - 1 Jan 2008
Event	International Conference on Advanced Design and Manufacture (ICADAM 2008) - , China Duration: 1 Jan 2008 → …

Conference

Conference	International Conference on Advanced Design and Manufacture (ICADAM 2008)
Country/Territory	China
Period	1/01/08 → …

Keywords

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

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10.1007/978-1-84800-239-5_25

Cite this

Wang, R. X., Yan, X. T., Wang, D.-B., & Zhao, Q. (2008). Flexible workflow autonomic object intelligence algorithm based on extensible Mamdani fuzzy reasoning system. In X.-T. Yan, B. Eynard, & W. J. Ion (Eds.), Global Design to Gain a Competitive Edge: An Holistic and Collaborative Design Approach Based on Computational Tools (pp. 251-260). Springer. https://doi.org/10.1007/978-1-84800-239-5_25

Wang, Run Xiao ; Yan, Xiu Tian ; Wang, Dong-Bo et al. / Flexible workflow autonomic object intelligence algorithm based on extensible Mamdani fuzzy reasoning system. Global Design to Gain a Competitive Edge: An Holistic and Collaborative Design Approach Based on Computational Tools. editor / Xiu-Tian Yan ; Benoit Eynard ; William J. Ion. London : Springer, 2008. pp. 251-260

@inproceedings{4bee6cb56d17495fbf9f38b2da81ab4f,

title = "Flexible workflow autonomic object intelligence algorithm based on extensible Mamdani fuzzy reasoning system",

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.",

keywords = "autonomic computing, flexible workflow, fuzzy reasoning, algorithms, computational methods, design, fuzzy reasoning system, mamdani, weighted fuzzy reasoning",

author = "Wang, \{Run Xiao\} and Yan, \{Xiu Tian\} and Dong-Bo Wang and Qian Zhao",

year = "2008",

month = jan,

day = "1",

doi = "10.1007/978-1-84800-239-5\_25",

language = "English",

isbn = "9781848002388",

pages = "251--260",

editor = "Yan, \{Xiu-Tian \} and Eynard, \{Benoit \} and Ion, \{William J. \}",

booktitle = "Global Design to Gain a Competitive Edge",

publisher = "Springer",

address = "Switzerland",

note = "International Conference on Advanced Design and Manufacture (ICADAM 2008) ; Conference date: 01-01-2008",

}

Wang, RX, Yan, XT, Wang, D-B & Zhao, Q 2008, Flexible workflow autonomic object intelligence algorithm based on extensible Mamdani fuzzy reasoning system. in X-T Yan, B Eynard & WJ Ion (eds), Global Design to Gain a Competitive Edge: An Holistic and Collaborative Design Approach Based on Computational Tools. Springer, London, pp. 251-260, International Conference on Advanced Design and Manufacture (ICADAM 2008), China, 1/01/08. https://doi.org/10.1007/978-1-84800-239-5_25

Flexible workflow autonomic object intelligence algorithm based on extensible Mamdani fuzzy reasoning system. / Wang, Run Xiao; Yan, Xiu Tian; Wang, Dong-Bo et al.
Global Design to Gain a Competitive Edge: An Holistic and Collaborative Design Approach Based on Computational Tools. ed. / Xiu-Tian Yan; Benoit Eynard; William J. Ion. London: Springer, 2008. p. 251-260.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Flexible workflow autonomic object intelligence algorithm based on extensible Mamdani fuzzy reasoning system

AU - Wang, Run Xiao

AU - Yan, Xiu Tian

AU - Wang, Dong-Bo

AU - Zhao, Qian

PY - 2008/1/1

Y1 - 2008/1/1

N2 - 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.

AB - 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.

KW - autonomic computing

KW - flexible workflow

KW - fuzzy reasoning

KW - algorithms

KW - computational methods

KW - design

KW - fuzzy reasoning system

KW - mamdani

KW - weighted fuzzy reasoning

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DO - 10.1007/978-1-84800-239-5_25

M3 - Conference contribution book

AN - SCOPUS:67650658951

SN - 9781848002388

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EP - 260

BT - Global Design to Gain a Competitive Edge

A2 - Yan, Xiu-Tian

A2 - Eynard, Benoit

A2 - Ion, William J.

PB - Springer

CY - London

T2 - International Conference on Advanced Design and Manufacture (ICADAM 2008)

Y2 - 1 January 2008

ER -

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

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