Workflow analysis based on estimate of fuzzy and statistical data

Feng Tian; Keyi Xing; Renhou Li

doi:10.1109/ICEBE.2006.108

Workflow analysis based on estimate of fuzzy and statistical data

Feng Tian
, Keyi Xing
, Renhou Li

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In general, an execution duration or constraints of the workflow activity may be created manually (empirical temporal information) or can be derived through process mining techniques from execution logs (statistical information). Those will induce inevitably complexity of time representation and analysis in a workflow model. The focus of this work is to deal with the time analysis of workflow where fuzzy and statistical temporal information coexist. Combining formal language with the definition of workflow net, a fuzzy estimate workflow nets is introduced to analyze workflow model, which can solve the situation, where fuzzy and statistical data coexisted, to realize efficient workflow management and meet time critical business services.

Original language	English
Title of host publication	Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2006
Pages	203-206
Number of pages	4
DOIs	https://doi.org/10.1109/ICEBE.2006.108
State	Published - 2006
Event	IEEE International Conference on e-Business Engineering, ICEBE 2006 - Shanghai, China Duration: 24 Oct 2006 → 26 Oct 2006

Publication series

Name	Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2006

Conference

Conference	IEEE International Conference on e-Business Engineering, ICEBE 2006
Country/Territory	China
City	Shanghai
Period	24/10/06 → 26/10/06

Access to Document

10.1109/ICEBE.2006.108

Cite this

@inproceedings{029da33b72ef4b0d8bf2982d4671a92d,

title = "Workflow analysis based on estimate of fuzzy and statistical data",

abstract = "In general, an execution duration or constraints of the workflow activity may be created manually (empirical temporal information) or can be derived through process mining techniques from execution logs (statistical information). Those will induce inevitably complexity of time representation and analysis in a workflow model. The focus of this work is to deal with the time analysis of workflow where fuzzy and statistical temporal information coexist. Combining formal language with the definition of workflow net, a fuzzy estimate workflow nets is introduced to analyze workflow model, which can solve the situation, where fuzzy and statistical data coexisted, to realize efficient workflow management and meet time critical business services.",

author = "Feng Tian and Keyi Xing and Renhou Li",

year = "2006",

doi = "10.1109/ICEBE.2006.108",

language = "英语",

isbn = "0769526454",

series = "Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2006",

pages = "203--206",

booktitle = "Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2006",

note = "IEEE International Conference on e-Business Engineering, ICEBE 2006 ; Conference date: 24-10-2006 Through 26-10-2006",

}

Tian, F, Xing, K & Li, R 2006, Workflow analysis based on estimate of fuzzy and statistical data. in Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2006., 4031652, Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2006, pp. 203-206, IEEE International Conference on e-Business Engineering, ICEBE 2006, Shanghai, China, 24/10/06. https://doi.org/10.1109/ICEBE.2006.108

Workflow analysis based on estimate of fuzzy and statistical data. / Tian, Feng; Xing, Keyi; Li, Renhou.
Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2006. 2006. p. 203-206 4031652 (Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - In general, an execution duration or constraints of the workflow activity may be created manually (empirical temporal information) or can be derived through process mining techniques from execution logs (statistical information). Those will induce inevitably complexity of time representation and analysis in a workflow model. The focus of this work is to deal with the time analysis of workflow where fuzzy and statistical temporal information coexist. Combining formal language with the definition of workflow net, a fuzzy estimate workflow nets is introduced to analyze workflow model, which can solve the situation, where fuzzy and statistical data coexisted, to realize efficient workflow management and meet time critical business services.

AB - In general, an execution duration or constraints of the workflow activity may be created manually (empirical temporal information) or can be derived through process mining techniques from execution logs (statistical information). Those will induce inevitably complexity of time representation and analysis in a workflow model. The focus of this work is to deal with the time analysis of workflow where fuzzy and statistical temporal information coexist. Combining formal language with the definition of workflow net, a fuzzy estimate workflow nets is introduced to analyze workflow model, which can solve the situation, where fuzzy and statistical data coexisted, to realize efficient workflow management and meet time critical business services.

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DO - 10.1109/ICEBE.2006.108

M3 - 会议稿件

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BT - Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2006

T2 - IEEE International Conference on e-Business Engineering, ICEBE 2006

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ER -

Workflow analysis based on estimate of fuzzy and statistical data

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