Application of Intuitionistic Fuzzy Topsis Model for Troubleshooting an Offshore Patrol Boat Engine

Aikhuele, Daniel O.; Sorooshian, Shahryar; Ansah, Richard Hannis; Turan, Faiz Mohd

doi:10.1515/pomr-2017-0051

Cited by 14 publications

(7 citation statements)

References 32 publications

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“…Aikhuele, et al [15] applied the Fuzzy TOPSIS model for identification of the main causes of defeat in offshore boat engines considering a wide range of major reasons in the field. By the way, expert's based opinions revealed the research purposes as a ranking system and classification of overall scores.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Iranian Chemical Industries

Hassanpour

2020

International Journal of Chemistry and Materials Research

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KeywordsDecision-making models Iranian chemical industries Assessment Evaluator team DEA EIA Screening of projects.The chemical industry is part of the industries, which supply the chemicals needed by other industries through the conversion of raw materials into the required products. The current cluster study of Iranian Chemical Industries (ICI) encompassed all input and output materials streams, ICI energy demands and technologies applied based on the assessment carried out by both Iranian Industries Organization (IIO) and Iranian Environment Protection Agency (IEPA). Then the raw data were empirically evaluated via traditional to novel decision-making models, SPSS software and Excel 2013 to make a decision about the classification of ICI and pave the way for further industrial ecology studies in a certain cluster as the objective of current research. T-test analysis had presented no significant difference among the main criteria of ICI such as the number of staff, power, water, and fuel demands and the land area occupied by ICI individually. Finally, the obtained values in the weighing and ranking systems and Data Envelopment Analysis (DEA) was composed to classify ICI as a cluster ranking and prioritized them from the highest weighting value and efficiency score to the lowest one based on the main criteria and an inventory of availability.Contribution/Originality: This study contributes in the existing literature to Environmental Impact Assessment (EIA) of industrial projects conducted by the Iranian evaluator team. The screening of ICI scrutinized the existing properties of projects as a first report. The methodology employed traditionally to new decisionmaking models towards sustainable development of projects.

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Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Iranian Chemical Industries

Hassanpour

2020

International Journal of Chemistry and Materials Research

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“…Hosseinzadeh and Fallahnejad, 22 Chaghooshi et al, 23 Chen et al, 24 Bhowmik et al, 25 and Aikhuele et al 26 improve the Shannon entropy for the imprecise data, especially interval and fuzzy data cases. In this article, we have acquired the weights of criteria based on their method.…”

Section: Fuzzy Shannon's Entropy Based On A-level Setsmentioning

confidence: 99%

Application of fuzzy VIKOR method for the evaluation and selection of a suitable tugboat

Balın

Şener

Demirel

2019

Proceedings of the Institution of Mechanical Engineers, Part M:

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Tugboats have a very critical role in numerous fields of the maritime sector. There are many types of tugboats with different characteristics that give superior results in different operations. Choosing the most suitable tugboat type for the desired operation is a multi-criteria problem that requires expertise. The design features of the tugboat and the propulsion system are important features used for classification. In addition, operational, environmental, and financial factors are also of considerable importance. In this article, determined criteria for tugboats classified according to their propulsion systems have been evaluated by subject-matter experts through a questionnaire. Fuzzy Shannon Entropy has been used to calculate the weights of each determined criterion. Then, fuzzy VIKOR was selected to rank the alternatives due to good compatibility with Entropy and the ability to adequately distinguish the table values that compose the ranking. Finally, the most suitable tugboat type was chosen in accordance with these results.

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“…Application of the proposed model for reliability management in the WT system In this section, the proposed model is applied for failure detention and for reliability management of a WT System. Numerical Case Study: Faults in WT can occur in a number of components, like sensors and in the actuator parts, however, early detection of unexpected changes in the system, could save the WT from unforeseen hazards and improve its performance [10,11] and reliability management.…”

Section: Intuitionistic Fuzzy Modelmentioning

confidence: 99%

“…Detecting faults in such system have proven a difficult task [8], due to the dependency of its components on each other [9]. Faults in WT can occur in a number of components, like sensors or actuators parts, however, early detection of unexpected changes in the system, could save the WT from unforeseen hazards and improve its performance [10,11] and reliability management.…”

Section: Introductionmentioning

confidence: 99%

Intuitionistic fuzzy model for reliability management in wind turbine system

Aikhuele

2018

ACI

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A flexible model which is based on a Triangular intuitionistic flexibility ranking and aggregating (TIFRA) operator is proposed for failure detection and reliability management in a Wind Turbine system. The model which is employed when there are limited research data and valid source of information, uses expert-based knowledge/opinion for failure detection and reliability management. The results from the study concludes that, the most important area affected by failure with respect to the failure criteria used, includes; oil level sensor tilt sensors for tower installation and accelerometers for tower sway (A2), Pressure sensor for blade monitoring (A3), and the Pitch actuator (A4). The main advantage of the proposed method is that it provides advanced information about faults that identifies the intensity of the system behavior also; the method provides a more complete view of the reliability management and root cause of failure in the Wind Turbine (WT) system using the flexibility parameter in the model.

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Application of Intuitionistic Fuzzy Topsis Model for Troubleshooting an Offshore Patrol Boat Engine

Cited by 14 publications

References 32 publications

Evaluation of Iranian Chemical Industries

Evaluation of Iranian Chemical Industries

Application of fuzzy VIKOR method for the evaluation and selection of a suitable tugboat

Intuitionistic fuzzy model for reliability management in wind turbine system

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