Fuzzy Rule-Based Evidential Reasoning Approach for Safety Analysis

Liu, Jun; Yang, Jian; Wang, Jin; Sii, How Sing; Wang, Ying Ming

doi:10.1080/03081070310001633536

Cited by 125 publications

(86 citation statements)

References 33 publications

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“…RIMER results have proved to be highly competitive solving decision problems applied to different areas, such as safety and risk analysis (Liu et al, 2004), oil pipe leak detection (Xu et al, 2007) and some other applications in engineering systems (Liu et al, 2008).…”

Section: Dss Perspective: Rimer+ Approach For Urban Regenerationmentioning

confidence: 99%

An empirical comparative study for urban regeneration: measuring the effectiveness of DSS and GIS approaches

Calzada¹,

Li²,

Wang³

et al. 2012

Proceedings of the 19th Annual European Real Estate Society Conference - Edinburgh, Scotland

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Urban regeneration (UR) projects encompass complex decision-making processes that usually comprise a great amount of information collected from numerous data sources which may be uncertain, inconsistent or incomplete. Many stakeholders and other actors provide subjective judgments that need to be considered throughout the decision process. Furthermore, most factors involved in regeneration projects (i.e. indicators or alternatives) are geographically referenced, making spatial component a key input in the decision making process. Although there is a substantial body of literature regarding the combination of Geographic Information Systems (GIS) and Decision Support Systems (DSS) to tackle spatial decision problems, there is still a lack of empirical and comparative studies able to measure in real terms the results and effects when using both GIS and DSS together against the use of DSS or GIS technologies alone. This paper utilises, a belief rule-base inference methodology (RIMER) to support the decision-making procedure while handling the large and complex quantitative data along with qualitative information. This research paper considers a spatial analysis along with the RIMER approach for comprehensive analysis of input indicators. The initial finding of the research based on RIMER shows promising results in terms of flexibility, accuracy, and applicability based on some case studies relevant to urban regeneration decision-making problems. This empirical study indicate that RIMERbased DSS can provide a well-established base to implement further research in combination with different GIS methods to effectively handle the UR decision problem from an IT perspective, compared with GWR model in terms of flexibility, interpretation, accuracy, and applicability.

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Section: Dss Perspective: Rimer+ Approach For Urban Regenerationmentioning

confidence: 99%

An empirical comparative study for urban regeneration: measuring the effectiveness of DSS and GIS approaches

Calzada¹,

Li²,

Wang³

et al. 2012

Proceedings of the 19th Annual European Real Estate Society Conference - Edinburgh, Scotland

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show abstract

“…This method is more exact than experts, and provides a better representation of date grading. [7] In 2004 JUN LIU, JIAN-BO YANG, JIN WANGb, HOW-SING SIIb, and YING-MING WANG [8] proposed a protocol for safety of an engineering system by using fuzzy rule-based evidential reasoning (FURBER) approach. In the approach the parameters used to define the safety level, including failure rate, failure consequence severity and failure consequence probability, are described using fuzzy linguistic variables.…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

A Survey of Knowledge Extraction Classification using Different Techniques

Shrivastava¹,

Singh²,

Shrivastava³

2013

IJCA

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Knowledge extraction is the method of extracting some useful information from a set of databases such that the extracted information can be used in a wide variety of applications. Here a brief survey of different techniques of classification for the knowledge extraction is given. Although there are many technique used for the classification but here the knowledge extraction for useful information techniques is presented.

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“…Also, because the hybrid approach takes advantage of the 'rich' information provided by probability distributions, while retaining the conservative character of fuzzy calculus, it is believed to hold value in terms of a 'reasonable' application of the precautionary principle. Liu et al (2004Liu et al ( , 2008 reported another hybrid approach, which combines fuzzy rule-based system with D-S theory for safety estimation and synthesis. Guo et al (2009) studied an algorithm combining fuzzy comprehensive evaluation with a three-layer BP neural network for equipment criticality evaluation in Reliability Cantered Maintenance (RCM).…”

Section: Future Workmentioning

confidence: 99%

A fuzzy criticality assessment system of process equipment for optimised maintenance management

Alzaabi

Wood

et al. 2013

International Journal of Computer Integrated Manufacturing

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In modern chemical plants it is essential to establish an effective maintenance strategy, which will deliver financially driven results at optimized conditions, i.e. minimum cost and time, by means of a criticality review of equipment in maintenance. In this paper a fuzzy logic based criticality assessment system (FCAS) for the management of a local company's equipment maintenance is introduced. This fuzzy system is shown to improve the conventional crisp criticality assessment system (CCAS). Results from case studies show that not only can the fuzzy logic based system do what the conventional crisp system does but also it can output more criticality classifications with an improved reliability and a greater number of different ratings that account for fuzziness and individual voice of the decision makers.

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Fuzzy Rule-Based Evidential Reasoning Approach for Safety Analysis

Cited by 125 publications

References 33 publications

An empirical comparative study for urban regeneration: measuring the effectiveness of DSS and GIS approaches

An empirical comparative study for urban regeneration: measuring the effectiveness of DSS and GIS approaches

A Survey of Knowledge Extraction Classification using Different Techniques

A fuzzy criticality assessment system of process equipment for optimised maintenance management

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