Use of fuzzy logic approaches to safety assessment in maritime engineering applications

Wang, J; Sii, How Sing; Yang, JB; Liu, J

doi:10.1080/20464177.2004.11020182

Cited by 17 publications

(10 citation statements)

References 8 publications

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“…Because of that others presented fuzzy Analytic Hierarchy Process (AHP) and TOPSIS methods that can be applied for failure detection in auxiliary systems and marine diesel engine. Sii et al (2004) focus on the development and representation of linguistic variables to model risk levels subjectively and variables are quantified using fuzzy set theory.…”

Section: Multi Criteria Decision Making (Mcdm) Methodologymentioning

confidence: 99%

A novel hybrid MCDM model based on fuzzy AHP and fuzzy TOPSIS for the most affected gas turbine component selection by the failures

Balın

Demirel

Alarçïn

2016

Journal of Marine Engineering & Technology

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Gas turbines are usually the core elements of numerous mechanical systems. Subsequent to the advancement of high efficiency and clean energy, gas turbine has a significantly growing role in different areas, such as aviation and marine propulsion systems, electric power stations, and natural gas and petroleum transportation. However, gas turbines are decisive in operating many industrial plants, and their accompanying maintenance costs are likely to be exceedingly high. A number of failures in the gas turbine components have been detailed and discussed in this paper, with a view to thwarting future breakdowns by suggesting specification for notable maintenance and utilisation of gas turbine components. This study puts forward Fuzzy Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods applied in failure detection of gas turbine components. This paper attempts to handle gas turbine components, which contain hydraulic-pneumatic equipment, electronic control equipment, and bearing equipment. Thanks to the assessment of specialists, heavily influenced by failures, gas turbine components have been decided. The results have proved the bearing equipment to have been the most effective alternative, as being ensued by hydraulic-pneumatic equipment and electronic control equipment.

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Section: Multi Criteria Decision Making (Mcdm) Methodologymentioning

confidence: 99%

A novel hybrid MCDM model based on fuzzy AHP and fuzzy TOPSIS for the most affected gas turbine component selection by the failures

Balın

Demirel

Alarçïn

2016

Journal of Marine Engineering & Technology

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“…The advantages of employing a fuzzy logic approach for dealing with systems having a high level of uncertainty, such as maritime engineering systems, are outlined by Sii et al (2001Sii et al ( , 2004. Their work proposes that safety models using fuzzy logic approaches employing fuzzy IF-THEN rules can model the qualitative aspects of human knowledge and reasoning processes without employing precise quantitative analyses.…”

Section: Literature Reviewmentioning

confidence: 98%

The Shipwrecks in Greece are Going Fuzzy: A Study for the Potential of Oil Pollution from Shipwrecks in Greek Waters

Ventikos

Louzis

Koimtzoglou

2013

Human and Ecological Risk Assessment: An International Journal

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This article deals with the development and application of a risk analysis approach regarding the importance and fate of shipwrecks in Greece. In the past few decades the potential harmful effects of wrecks and the materials and substances they carry, remaining on the sea bottom, have been realized and the issue of dealing with them has arisen. The methodology used in this article consists of three steps. The first step is to develop a dedicated database of shipwrecks in Greek waters. The second step focuses on the quasi-quantitative assessment of risk for each shipwreck individually through the introduction of implemented factors that have been modeled into the structure of a hierarchical fuzzy system. The analysis is concluded by determining the sources of uncertainty for the system and implementing an appropriate analysis to determine their relative importance. Finally, geographic information system (GIS) tools are used for the visualization of data and the analysis of results in geographic terms as well as for revealing geographic patterns and relationships.

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“…To formulate human experts' domain experience and marine engineering safety knowledge, H. S. Sii [3] used the fuzzy logic and adaptive-fuzzy-logic approaches to conduct risk analysis and to transform the different properties from various sources to the knowledge base. In addition, J. Ren [4] used the fuzzy reasoning and evidential synthesis approaches to propose an offshore safety assessment framework, which can deal with uncertainties, including ignorance and vagueness.…”

Section: A Intelligent Evaluation In Marine Operationsmentioning

confidence: 99%

Cloud Model-Based Intelligent Evaluation Method in Marine Engine Room Simulator

Cao

Zhang

2020

IEEE Access

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With the implementation of the new international conventions, higher evaluation requirements for a marine engine room simulator have been put forward. Based on the cloud theory, an improved fuzzy comprehensive evaluation method was studied: First, the Delphi method was adopted to get the original cloud drops of the judgments, and the original judgment weight clouds were generated by the backward cloud generator. Second, the judgment cloud matrix was built using the comparison results of the original judgment weight clouds, and the cloud weights of the evaluation factors were further calculated. Third, the appraisal grade clouds were generated, and the cloud appraisal vector taking into account the importance of each factor for each appraisal grade was calculated. Finally, the evaluation cloud result E was aggregated, and the similarity vector between E and the grade clouds was calculated. The calculation process reflects an effective uncertainty conversion between a qualitative concept and quantitative characteristics. The effectiveness was verified using three interrelated examples. The results show the following: the expectation of E is mainly determined by the operating process and, second, by the expectation of the cloud weights; the uncertainty index and the randomness index of E are determined by the parameter values of the cloud weights and the impact of the closest grade cloud; and the similarity vector is directly affected by E and the distribution of the grade clouds. The introduction of cloud model theory into fuzzy comprehensive evaluation is an effective evaluation method. INDEX TERMS Marine engineering, cloud model theory, intelligent evaluation, engine room simulation.

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Use of fuzzy logic approaches to safety assessment in maritime engineering applications

Cited by 17 publications

References 8 publications

A novel hybrid MCDM model based on fuzzy AHP and fuzzy TOPSIS for the most affected gas turbine component selection by the failures

A novel hybrid MCDM model based on fuzzy AHP and fuzzy TOPSIS for the most affected gas turbine component selection by the failures

The Shipwrecks in Greece are Going Fuzzy: A Study for the Potential of Oil Pollution from Shipwrecks in Greek Waters

Cloud Model-Based Intelligent Evaluation Method in Marine Engine Room Simulator

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