Fuzzy Sets and Systems
Fuzzy Sets and Systems
Fuzzy system reliability analysis using fuzzy number arithmetic operations
Fuzzy Sets and Systems
Fuzzy system reliability analysis for components with different membership functions
Fuzzy Sets and Systems
Measures of similarity between vague sets
Fuzzy Sets and Systems
Vague sets are intuitionistic fuzzy sets
Fuzzy Sets and Systems
System failure engineering and fuzzy methodology: an introductory overview
Fuzzy Sets and Systems - Special issue on fuzzy methodology in system failure engineering
Uncertainty in fault tree analysis: a fuzzy approach
Fuzzy Sets and Systems - Special issue on fuzzy methodology in system failure engineering
An application of intuitionistic fuzzy sets in medical diagnosis
Fuzzy Sets and Systems
New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions
Pattern Recognition Letters
Multiattribute decision making models and methods using intuitionistic fuzzy sets
Journal of Computer and System Sciences
Vibration-based fault diagnosis of spur bevel gear box using fuzzy technique
Expert Systems with Applications: An International Journal
QoS-aware web services selection with intuitionistic fuzzy set under consumer's vague perception
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A FTA-based method for risk decision-making in emergency response
Computers and Operations Research
Estimation of failure probability of milk manufacturing unit by fuzzy fault tree analysis
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 12.05 |
Natural gas, one of the cleanest, most efficient and useful of all energy sources, is a vital component of the world's supply of energy. To make natural gas more convenient for storage and transportation, it is refined and condensed into a liquid called liquefied natural gas (LNG). In a LNG site, safety is a long-team and critical issue. The emergency shutdown (ESD) system in the LNG receiving terminal is used to automatically stop the pumps and isolate the leakage section. Fault-tree analysis (FTA) has been widely used for providing logical functional relationships among subsystems and components of a system and identifying the root causes of the undesired failures in a system. In the conventional FTA for the ESD system, we usually assume that exact failure probabilities of events are collected. However, in most real applications, first, the FTA for the ESD system needs to be made at a early design or manufacturing stage, certain new components normally used without failure data; secondly, sometimes the environmental change in the system during the operation periods. This makes more difficult to gather past exact failures data for the FTA. To complete the FTA of the ESD system under these uncertain situations, we apply the intuitionistic fuzzy sets (IFS) theory to the FTA. We generate the intuitionistic fuzzy fault-tree interval, and the intuitionistic fuzzy reliability interval for the ESD system. We also present an algorithm to find the critical components in the system based on IFS-FTA and determine weak paths in the ESD system, where the key improvement must be made.