Safety analysis and synthesis using fuzzy sets and evidential reasoning

Wang, J.; Yang, Jian‐Bo; Sen, Pratyush

doi:10.1016/0951-8320(94)00053-q

Cited by 157 publications

(103 citation statements)

References 10 publications

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“…The variables are than quantified using fuzzy sets [2]. Wang, Tang and Sen presented a new methodology for safety analysis and synthesis of a complex engineering system with a structure capable of being decomposed into a hierarchy of levels [3]. In this methodology, the fuzzy set theory is used to describe each failure event and an evidential reasoning approach is then employed to synthesize the information thus produced to assess the safety of the whole system.…”

Section: Brief Literature Reviewmentioning

confidence: 99%

Assessment of Safety and Health in the Tea Industry of Barak Valley, Assam: A Fuzzy Logic Approach

Gupta¹,

Dey²

2013

International Journal of Occupational Safety and Ergonomics

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Section: Brief Literature Reviewmentioning

confidence: 99%

Assessment of Safety and Health in the Tea Industry of Barak Valley, Assam: A Fuzzy Logic Approach

Gupta¹,

Dey²

2013

International Journal of Occupational Safety and Ergonomics

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“…Following a review of Wang et al (1995) for effective information processing of a safety expression, linguistic terms need to be in the range of four to seven. As a result, within this paper five linguistic terms are defined to evaluate the likelihood and consequence of each identified risk factor, as shown in Table 2.…”

Section: Development Of a Model For Evaluating The Risk Of Disruptionmentioning

confidence: 99%

Experiments for PHM: Needs, developments and challenges

Li¹,

Liu²,

Kang³

et al. 2014

Safety and Reliability: Methodology and Applications

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Much of the available data associated with seaport operations is uncertain and ambiguous, requiring an approach capable of handling both quantitative and qualitative information. Conventional risk modelling approaches are considered to be inadequate in many circumstances due to the lack of flexibility and an inappropriate structure for addressing the system's risks. This paper proposes a flexible risk assessment approach to facilitating the treatment of uncertainties in seaport operations in a systematic manner. The methodology consists of a fuzzy analytical hierarchy process, an Evidential Reasoning (ER) approach, and fuzzy set theory. The fuzzy analytical hierarchy process is used to analyse the complex structure of seaport operations and determine the weights of significant risk factors while ER is used to synthesise them. The methodology provides a framework for collaborative modelling of the system and allows for a step by step analysis. It could provide managers and infrastructure analysts with a flexible tool in order to enhance the resilience of the seaport system.(FMECA) and Bow-Tie (BT) have been widely used in analysis of critical systems and have contributed greatly to the literature of risk analysis. The aforementioned approaches have some drawbacks which affect their applications. The use of traditional risk assessment approaches to deal with newly arising hazards and threats (e.g. potential terrorist attacks) to maritime infrastructure reveals two major challenges: i) the lack of capability to process diverse data suitable for input into a risk inference mechanism, and ii) the lack of capability to analyse the interactive dependence between risk factors (Yang et al., 2009).One realistic way to analyse a system with unavailable data is to employ subjective assessment using the combination of fuzzy logic and Evidential Reasoning (ER). Compared to the traditional fuzzy inference mechanism (i.e. max-min fuzzy operations), an ER approach has the advantage of avoiding the loss of useful information in its inference processes; hence, it can be suitable for modelling complex systems.The insufficiency of quantitative risk assessment in the maritime-related literature together with the vision to establish a secure and resilient SCMI system has resulted in a need for an integrated risk assessment methodology capable of tackling the uncertainties associated with a system's operation (John, 2013). This paper is organised as follows. Section 2 reviews the existing literature on SCMI systems, and discusses the major risk factors associated with seaport operations. Sections 3 and 4 highlight the decision making techniques that are used for

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“…The analytical ER algorithm is then proposed 8 based on the recursive algorithm and Yen's combination rule, 9 in which only one step of calculation is to be conducted to generate the overall performance. Secondly, the ER approach has been applied to many real world decision making issues, for instance, motorcycle and car evaluation, 2,3,7 large engineering product evaluation, 10 general cargo ship design, 11 supplier selection in VMI alliance circumstance, 12 contractor selection, 13 safety analysis, 14,15 self assessment, 16,17,18 environmental impact assessment, 8 pipeline leak detection, 19 strategic R&D project assessment, 20 new product development, 21 bridge condition assessment, 22 consumer preference prediction, 23 and so on. Thirdly, on the implementation of the ER approach, a window-based and graphically designed decision support software package called intelligent decision system (IDS) is developed on the basis of the ER approach.…”

Section: Introductionmentioning

confidence: 99%

Group Evidential Reasoning Approach for MADA under Fuzziness and Uncertainties

Zhou¹,

Liu²,

Yang³

et al. 2013

IJCIS

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Multiple attribute decision analysis (MADA) problems often include both qualitative and quantitative attributes which may be either precise or inaccurate. The evidential reasoning (ER) approach is one of reliable and rational methods for dealing with MADA problems and can generate aggregated assessments from a variety of attributes. In many real world decision situations, accurate assessments are difficult to provide such as in group decision situations. Extensive research in dealing with imprecise or uncertain belief structures has been conducted on the basis of the ER approach, such as interval belief degrees, interval weights and interval uncertainty. In this paper, the weights of attributes and utilities of evaluation grades are considered to be fuzzy numbers for the ER approach. Fuzzy analytic hierarchy process (FAHP) is used for generating triangular fuzzy weights for attributes from a triangular fuzzy judgment matrix provided by an expert. The weighted arithmetic mean method is proposed to aggregate the triangular fuzzy weights of attributes from a group of experts. α-cut is then used to transform the combined triangular fuzzy weights to interval weights for the purpose of dealing with the fuzzy type of weight and utility in a consistent way. Several pairs of group evidential reasoning based nonlinear programming models are then designed to calculate the global fuzzy belief degrees and the overall expected interval utilities of each alternative with interval weights and interval utilities as constraints. A case study is conducted to show the validity and effectiveness of the proposed approach and sensitivity analysis is also conducted on interval weights generated by different α-cuts.

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Safety analysis and synthesis using fuzzy sets and evidential reasoning

Cited by 157 publications

References 10 publications

Assessment of Safety and Health in the Tea Industry of Barak Valley, Assam: A Fuzzy Logic Approach

Assessment of Safety and Health in the Tea Industry of Barak Valley, Assam: A Fuzzy Logic Approach

Experiments for PHM: Needs, developments and challenges

Group Evidential Reasoning Approach for MADA under Fuzziness and Uncertainties

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