A review of applications of fuzzy sets to safety and reliability engineering

Kabir, Sohag; Papadopoulos, Yiannis

doi:10.1016/j.ijar.2018.05.005

Cited by 142 publications

(78 citation statements)

References 246 publications

(265 reference statements)

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“…Kabir and Papadopoulos [21] have analyzed methodologies based on fuzzy set theory that have been applied to safety and reliability, such as fuzzy FTA, fuzzy FMEA, fuzzy ETA, fuzzy Bayesian networks, fuzzy Markov chains, and fuzzy Petri nets. Similar analyses have been presented by Liu et al [22].…”

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confidence: 99%

Fuzzy Model for Risk Assessment of Machinery Failures

et al. 2020

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The main goal of this research was the development of an algorithm for the implementation of negative risk parameters in a synthesis model for a risk level assessment for a specific machine used in the mining industry. Fuzzy sets and fuzzy logic theory, in combination with statistical methods, were applied to analyze the time picture state of the observed machine. Fuzzy logic is presented through fuzzy proposition and a fuzzy composition module. Using these tools, the symmetric position of the fuzzy sets with regard to class was used, and the symmetric fuzzy inference approach was used in an outcome calculation. The main benefit of the proposed model is being able to use numerical and linguistic data in a risk assessment model. The proposed risk assessment model, using fuzzy logic conclusions and min–max composition, was used on a mobile crushing machine. The results indicated that the risk level of the mobile crushing machine was in the “high” category, which means that it is necessary to introduce maintenance policies based on this high risk. The proposed risk assessment model is useful for any engineering system.

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confidence: 99%

Fuzzy Model for Risk Assessment of Machinery Failures

et al. 2020

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“…In this section the basic concepts about fuzzy sets and fuzzy operators used in FIS-BBR are reviewed. The first definition is that of a fuzzy set [20,21].…”

Section: Fuzzy Sets and Operatorsmentioning

confidence: 99%

Design Methodology for the Implementation of Fuzzy Inference Systems Based on Boolean Relations

et al. 2019

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This paper proposes a methodology for the design of fuzzy inference systems based on Boolean relations. The approach using Boolean sets presents limited performance due to the abrupt transitions that occur during its functioning, therefore, fuzzy sets can be used aiming the improvement of the performance. In this approach, firstly, the design of a Boolean controller is performed, which is later extended into fuzzy under design guidelines proposed in this paper. The methodology uses Kleene algebra via truth tables for the fuzzy system design, allowing the simplification of the equations that implement the fuzzy system.

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“…Human reliability analysis methods include mainly human error rate prediction technology, the operator action tree, accident initiation and evolution analysis, the successful likelihood index, pairwise comparisons, social-technical-human factor reliability analysis, maintenance person behavior simulations, the multisequence failure model, the cognitive event tree system, cognitive reliability and error analysis, fuzzy set analysis [34] and comprehensive evaluations [35]. A representative method is Zwirglmaier et al (2016) Bayesian network(BN) model that uses additional and qualitative causal paths to provide traceability, and that combines expert probabilities with information from operator performance databases such as the scenario authoring, characterization, and debriefing application to quantify the model and enrich the quantitative approach to rein the last decade, Bayesian networks (BNs) have been identified as a powerful tool for human reliability analysis [36].…”

Section: Human Reliability Researchmentioning

confidence: 99%

Exploring the Optimal Safety Person–job Matching Method of Major Equipment Based on Human Reliability

Zhang

et al. 2019

Applied Sciences

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Under the background of intelligent manufacturing, this paper aims to develop a model for person–job safe matching that optimizes safety with consideration of major equipment operator competency and task complexity. Safe matching cost is minimized in the developed model and is measured by the equipment downtime, production defect rate, and operator labor costs oriented by human factors. Human reliability is calculated with the goal of best value individual competency and best admit task complexity with a hierarchical structure. The 0-1 integer programming person–job matching model minimizes the human factor safety and wage costs and satisfies the requirements of the production order, budget and operator quantity requirement. An improved genetic algorithm is designed to solve the model. The computational results of the proposed model based on a case study for a large iron and steel company evidently demonstrated its effectiveness. A new integrated model provides more realistic matches for person–job assignment.

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A review of applications of fuzzy sets to safety and reliability engineering

Cited by 142 publications

References 246 publications

Fuzzy Model for Risk Assessment of Machinery Failures

Fuzzy Model for Risk Assessment of Machinery Failures

Design Methodology for the Implementation of Fuzzy Inference Systems Based on Boolean Relations

Exploring the Optimal Safety Person–job Matching Method of Major Equipment Based on Human Reliability

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