Measurement of Fuzzy Membership Functions in Construction Risk Assessment

Nguyen, Long D.; Tran, Dai Q.

doi:10.1061/(asce)co.1943-7862.0002015

Cited by 9 publications

(4 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The article explains how fuzzy sets can be used to quantify uncertainty in safety and reliability analysis and highlights the advantages and limitations of using fuzzy sets in these fields. The application of fuzzy set theory in terms of risk and safety has also been presented in articles on civil engineering [35,36], multi-criteria analysis processes [37], the ERTMS railway system [38], and even land expropriation [39].…”

Section: Requirements Related To Risk Analysis In Investment Processesmentioning

confidence: 99%

Risk Assessment in the Design of Railroad Control Command and Signaling Devices Using Fuzzy Sets

Ilczuk,

Kycko

2023

Applied Sciences

View full text Add to dashboard Cite

Risk assessment in the design of control command and signaling devices (CCS) is one of the elements required by law. These analyses should be carried out at many stages of investment with the participation of various teams. This article presents a risk analysis method based on fuzzy sets, which can support and increase the safety of investment processes involving the railroad traffic control industry. The article analyzes hazards identified in CCS design. These risks were identified using a survey method based on a set of questions prepared by the authors and by conducting interviews among experts from design offices. As part of the survey, responses were obtained from 28 respondents who are specialists in the railway traffic control industry. Workshop meetings were held in six different design offices and at manufacturing plants of motion control systems. The identified risks were analyzed using the FMEA (failure mode and effect analysis) method and the fuzzy set method, as well as various methods of fuzzification and defuzzification. The results of all of the methods were compared with each other. The best solution from the analyzed ones was proposed.

show abstract

Section: Requirements Related To Risk Analysis In Investment Processesmentioning

confidence: 99%

Risk Assessment in the Design of Railroad Control Command and Signaling Devices Using Fuzzy Sets

Ilczuk,

Kycko

2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Also, linguistic variables are employed to develop analytical tools for data mining and time series prediction [15]. Of course, linguistic variables and fuzzy membership functions require systematic methods to define and evaluate [37].…”

Section: Related Workmentioning

confidence: 99%

Synthesizing fuzzy tree automata

Moghari

2022

RAIRO-Theor. Inf. Appl.

View full text Add to dashboard Cite

Fuzzy tree automata are mathematical devices for modeling and analyzing vaguely defined tree structures. The behavior of a fuzzy tree automaton generates a fuzzy tree language by mapping a set of regular trees on a ranked alphabet to fuzzy membership values. It calculates the membership grade of trees using a set of rules that process their structural characteristics. This paper deals with constructing fuzzy tree automata models that their behavior satisfies a set of given logical propositions (called properties) on the structure of trees. Our goal is uncertainty modeling by synthesizing fuzzy tree automata whose behavior is described by fuzzy linguistic variables. In this regard, we first provide several patterns and heuristic tricks and techniques for constructing fuzzy tree automata that satisfy simple properties. Then, we develop a method for modeling complex propositional formulas based on the conversion of a logical formula into a computation tree, as well as a step-by-step combination of models.

show abstract

“…Literature [12] introduced for the first time a new method of multi-indicator assessment of risk level based on entropy weight normal cloud model to address the situation that the assessment indexes will be affected by multiple factors when the construction risk assessment object itself has great complexity and ambiguity. Literature [13] first developed a stepwise process of fuzzy affiliation function based on the improved fuzzy set theory to determine risk variables, which provides a solution to the lack of historical data and reliance on expert opinions when assessing construction risk. Literature [14] identified the most important factors influencing the formwork systems by applying the relative importance index method through questionnaires and interviews with experts.…”

Section: Introductionmentioning

confidence: 99%

Safety Risk Assessment of Overturning Construction of Towering Structure Based on Cloud Matter–Element Coupled Model

Sang¹,

Han²,

Liu³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

View full text Add to dashboard Cite

Rapid urbanization has led to a surge in the number of towering structures, and overturning is widely used because it can better accommodate the construction of shaped structures such as variable sections. The complexity of the construction process makes the construction risk have certain randomness, so this paper proposes a cloudbased coupled matter-element model to address the ambiguity and randomness in the safety risk assessment of overturning construction of towering structures. In the pretended model, the digital eigenvalues of the cloud model are used to replace the eigenvalues in the matter-element basic element, and calculate the cloud correlation of the risk assessment metrics through the correlation algorithm of the cloud model to build the computational model. Meanwhile, the improved hierarchical analysis method based on the cloud model is used to determine the weight of the index. The comprehensive evaluation scores of the evaluation event are then obtained through the weighted average method, and the safety risk level is determined accordingly. Through empirical analysis, (1) the improved hierarchical analysis method based on the cloud model can incorporate the data of multiple decisionmakers into the calculation formula to determine the weights, which makes the assessment results more credible; (2) the evaluation results of the cloud-based matter-element coupled model method are basically consistent with those of the other two commonly used methods, and the confidence factor is less than 0.05, indicating that the cloudbased physical element coupled model method is reasonable and practical for towering structure overturning;(3) the cloud-based coupled element model method, which confirms the reliability of risk level by performing Spearman correlation on comprehensive assessment scores, can provide more comprehensive information of instances compared with other methods, and more comprehensively reflects the fuzzy uncertainty relationship between assessment indexes, which makes the assessment results more realistic, scientific and reliable.

show abstract

Measurement of Fuzzy Membership Functions in Construction Risk Assessment

Cited by 9 publications

References 58 publications

Risk Assessment in the Design of Railroad Control Command and Signaling Devices Using Fuzzy Sets

Risk Assessment in the Design of Railroad Control Command and Signaling Devices Using Fuzzy Sets

Synthesizing fuzzy tree automata

Safety Risk Assessment of Overturning Construction of Towering Structure Based on Cloud Matter–Element Coupled Model

Contact Info

Product

Resources

About