Fuzzy analysis of process models

Andrew Kusiak; Armen Zakarian

doi:10.1016/S1474-6670(17)56031-0

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Journal article

Peer reviewed

Fuzzy analysis of process models

Andrew Kusiak and Armen Zakarian

IFAC Proceedings Volumes, Vol.32(2), pp.171-176

07/1999

DOI: 10.1016/S1474-6670(17)56031-0

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Abstract

Most of the process modeling methodologies are based on informal notation, lacking mathematical rigor, and are static and qualitative, thus making it difficult to use them as analysis tools. In this paper, an analysis approach for process models based on fuzzy Signed Directed Graphs (SDGs) is presented. A qualitative process model is constructed using fuzzy SDGs. A membership function quantifies and transforms incomplete and ambiguous information of process variables into a qualitative model. The effectiveness of the approach is illustrated with an industrial example. The architecture of an intelligent system for qualitative/quantitative analysis of process models is also presented.

fuzzy models

information analysis

models

Processes

productivity

Details

Title: Subtitle: Fuzzy analysis of process models
Creators: Andrew Kusiak - University of Iowa
Armen Zakarian - University of Iowa
Resource Type: Journal article
Publication Details: IFAC Proceedings Volumes, Vol.32(2), pp.171-176
DOI: 10.1016/S1474-6670(17)56031-0
ISSN: 1474-6670
Language: English
Date published: 07/1999
Academic Unit: Industrial and Systems Engineering; Nursing
Record Identifier: 9984186948602771

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