Abstract
In all aspects of life, we have to face with uncertainty involved feeling, cognition, evaluation and decision making (DM). In the last decades, a great number of such theories as fuzzy sets, interval-valued fuzzy sets, type-2 fuzzy sets, hesitant sets, grey sets, rough sets and intuitionistic fuzzy sets (IFSs) have been proposed to deal with uncertainty in the real-life imperfect information. They have drawn more and more attention of scholars and been adopted in many various applications. Failure Modes and Effects Analysis (FMEA) is a reliability analysis technique that plays a prominent role in improving the reliability and safety of systems, products, and/or services. It can be used to identify and eliminate known or potential failure modes to enhance reliability and safety of complex systems. Although commonly used, the conventional FMEA has been heavily criticized in the literature for such various limitations as failure mode evaluations, risk factor weights, risk priority number (RPN) computation and dealing with uncertain information. In this paper, we propose a new aggregation operator for IFSs, that proves to be more adequate for fusing information. It is employed in the intuitionistic fuzzy FMEA method in the risk estimation of the system failures with uncertain information. It is validated also in solving a common DM problem, compared with the other existing methods.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call