Application of Fuzzy Set Theory and Expert Judgement in Reliability Analysis of the Arctic Oil and Gas Facilities

2014 ◽  
Author(s):  
Masoud Naseri ◽  
Javad Barabady
Keyword(s):  
Reliability Analysis ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Oil And Gas ◽  
The Arctic ◽  
Expert Judgement

scholarly journals Fuzzy Logic in Aircraft Onboard Systems Reliability Evaluation—A New Approach

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7913
Author(s):  
Andrzej Żyluk ◽  
Konrad Kuźma ◽  
Norbert Grzesik ◽  
Mariusz Zieja ◽  
Justyna Tomaszewska
Keyword(s):  
Fuzzy Logic ◽  
Reliability Analysis ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Probabilistic Model ◽  
Expert Knowledge ◽  
Operation Time ◽  
Theory Approach ◽  
Operational Data

This paper is a continuation of research into the possibility of using fuzzy logic to assess the reliability of a selected airborne system. The research objectives include an analysis of statistical data, a reliability analysis in the classical approach, a reliability analysis in the fuzzy set theory approach, and a comparison of the obtained results. The system selected for the investigation was the aircraft gun system. In the first step, after analysing the statistical (operational) data, reliability was assessed using a classical probabilistic model in which, on the basis of the Weibull distribution fitted to the operational data, the basic reliability characteristics were determined, including the reliability function for the selected aircraft system. The second reliability analysis, in a fuzzy set theory approach, was conducted using a Mamdani Type Fuzzy Logic Controller developed in the Matlab software with the Fuzzy Logic Toolbox package. The controller was designed on the basis of expert knowledge obtained by a survey. Based on the input signals in the form of equipment operation time (number of flying hours), number of shots performed (shots), and the state of equipment corrosion (corrosion), the controller determines the reliability of air armament. The final step was to compare the results obtained from two methods: classical probabilistic model and fuzzy logic. The authors have proved that the reliability model using fuzzy logic can be used to assess the reliability of aircraft airborne systems.

scholarly journals Reliability Analysis of the Engineering Systems Using Intuitionistic Fuzzy Set Theory

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Harish Garg ◽  
Monica Rani ◽  
S. P. Sharma
Keyword(s):  
Reliability Analysis ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Intuitionistic Fuzzy Set ◽  
Paper Mill ◽  
Intuitionistic Fuzzy ◽  
Reliability Parameters ◽  
Degree Of Acceptance ◽  
The Impact

The present paper investigates the reliability analysis of industrial systems by using vague lambda-tau methodology in which information related to system components is uncertain and imprecise in nature. The uncertainties in the data are handled with the help of intuitionistic fuzzy set (IFS) theory rather than fuzzy set theory. Various reliability parameters are addressed for strengthening the analysis in terms of degree of acceptance and rejection of IFS. Performance as well as sensitivity analysis of the system parameter has been investigated for accessing the impact of taking wrong combinations on its performance. Finally results are compared with the existing traditional crisp and fuzzy methodologies results. The technique has been demonstrated through a case study of bleaching unit of a paper mill.

scholarly journals Predicting Rainfall Using the Principles of Fuzzy Set Theory and Reliability Analysis

2013 ◽  
Vol 03 (04) ◽  
pp. 337-348
Author(s):  
Mahbub Hasan ◽  
Salam Md. Mahbubush Khan ◽  
Chandrasekhar Putcha ◽  
Ashraf Al-Hamdan ◽  
Chance M. Glenn
Keyword(s):  
Reliability Analysis ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory

scholarly journals APPLICATION OF FUZZY SET THEORY TO RELIABILITY ANALYSIS

1982 ◽  
Vol 1982 (325) ◽  
pp. 1-10 ◽  
Author(s):  
Naruhito SHIRAISHI ◽  
Hitoshi FURUTA ◽  
Kenji IKEJIMA
Keyword(s):  
Reliability Analysis ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory

scholarly journals An Improved A* Algorithm Based on Hesitant Fuzzy Set Theory for Multi-Criteria Arctic Route Planning

Symmetry ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 765 ◽  
Author(s):  
Yangjun Wang ◽  
Ren Zhang ◽  
Longxia Qian
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Climate Models ◽  
Route Planning ◽  
Planning System ◽  
Hesitant Fuzzy Set ◽  
The Arctic ◽  
Planning Problem ◽  
A Algorithm

This paper presents a new route planning system for the purpose of evaluating the strategic prospects for future Arctic routes. The route planning problem can be regarded as a multi criteria decision making problem with large uncertainties originating from multi-climate models and experts’ knowledge and can be solved by a modified A* algorithm where the hesitant fuzzy set theory is incorporated. Compared to the traditional A* algorithm, the navigability of the Arctic route is firstly analyzed as a measure to determine the obstacle nodes and three key factors to the vessel navigation including sailing time, economic cost and risk are overall considered in the HFS-A* algorithm. A numerical experiment is presented to test the performance of the proposed algorithm.

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