research-article

Managing risk for business processes: : A fuzzy based multi-agent system

Authors: Nan Feng,

Xue Yu, Runliang Dou, Bingning PanAuthors Info & Claims

Journal of Intelligent & Fuzzy Systems, Volume 29, Issue 6

Pages 2717 - 2726

https://doi.org/10.3233/IFS-151975

Published: 20 November 2015 Publication History

Abstract

Risk management for business processes is critical to the survival and performance of organizations, and has gained the interest of practitioners and academics. In this article, a fuzzy based multi-agent system (FMAS) is proposed as a practical solution to assess the process risk state and provide recommendations for the continuous improvement of business processes. To represent uncertain and ambiguous information obtained from experts, fuzzy theory is introduced to the FMAS. A fuzzy neural network is employed to implement an analysis agent capable of detecting the risk state of business processes within a firm. Furthermore, based on the predictions yielded by the analysis agent, the recommendation agent is then able to identify the possible deviations in the inconsistent process and provide suggestions for improvement. The effectiveness of the proposed FMAS is validated by its implementation in nine firms during twelve months, and the results are presented.

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Cited By

Rosado DSánchez LVarela-Vaca ÁSantos-Olmo AGómez-López MGasca RFernández-Medina E(2024)Enabling security risk assessment and management for business process modelsJournal of Information Security and Applications10.1016/j.jisa.2024.10382984:COnline publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1016/j.jisa.2024.103829
Kakula SPinar AHavens TAnderson D(2020)Extended Linear Order Statistic (ELOS) Aggregation and Regression2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)10.1109/FUZZ48607.2020.9177595(1-7)Online publication date: 19-Jul-2020
https://dl.acm.org/doi/10.1109/FUZZ48607.2020.9177595

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Managing risk for business processes: A fuzzy based multi-agent system

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Information & Contributors

Information

Published In

cover image Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology Volume 29, Issue 6

The fuzzy system and its application in East Asia

Oct 2015

479 pages

ISSN:1064-1246

Issue’s Table of Contents

IOS Press and the authors. All rights reserved.

This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Publisher

IOS Press

Netherlands

Publication History

Published: 20 November 2015

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Cited By

Rosado DSánchez LVarela-Vaca ÁSantos-Olmo AGómez-López MGasca RFernández-Medina E(2024)Enabling security risk assessment and management for business process modelsJournal of Information Security and Applications10.1016/j.jisa.2024.10382984:COnline publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1016/j.jisa.2024.103829
Kakula SPinar AHavens TAnderson D(2020)Extended Linear Order Statistic (ELOS) Aggregation and Regression2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)10.1109/FUZZ48607.2020.9177595(1-7)Online publication date: 19-Jul-2020
https://dl.acm.org/doi/10.1109/FUZZ48607.2020.9177595

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