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

电子与信息学部

Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2006
页	203-206
页数	4
DOI	https://doi.org/10.1109/ICEBE.2006.108
出版状态	已出版 - 2006
活动	IEEE International Conference on e-Business Engineering, ICEBE 2006 - Shanghai, 中国期限: 24 10月 2006 → 26 10月 2006

出版系列

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

会议

会议	IEEE International Conference on e-Business Engineering, ICEBE 2006
国家/地区	中国
市	Shanghai
时期	24/10/06 → 26/10/06

访问文件

10.1109/ICEBE.2006.108

其它文件与链接

链接到 Scopus 的出版物

引用此

@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. 在 Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2006., 4031652, Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2006, 页码 203-206, IEEE International Conference on e-Business Engineering, ICEBE 2006, Shanghai, 中国, 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. 页码 203-206 4031652 (Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2006).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

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AU - Xing, Keyi

AU - Li, Renhou

PY - 2006

Y1 - 2006

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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U2 - 10.1109/ICEBE.2006.108

DO - 10.1109/ICEBE.2006.108

M3 - 会议稿件

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SN - 0769526454

SN - 9780769526454

T3 - Proceedings - IEEE International Conference on e-Business Engineering, ICEBE 2006

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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

Y2 - 24 October 2006 through 26 October 2006

ER -

Workflow analysis based on estimate of fuzzy and statistical data

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