FMEA Using Interval 2-Tuple Hybrid Weighted Distance Measure

Abstract

The interval 2-tuple linguistic representation method (Zhang 2012) is a useful computational model for computing with words, which has the capability of expressing different types of decision makers' assessment information and has been widely used in many real-world engineering and management problems. Moreover, via this method, decision makers can express their preferences by the use of linguistic term sets with different granularity of uncertainty. Therefore, Liu et al. (2014d) proposed a new risk priority model using interval 2-tuple hybrid weighted distance (ITHWD) measure to overcome the limitations and improve the performance of the traditional FMEA. The new model can not only handle the diversified and uncertain assessments provided by FMEA team members, but also consider the subjective and objective weights of risk factors in the prioritization of the failure modes identified in FMEA. Particularly, the proposed FMEA has exact characteristic and can avoid information distortion and loss in the linguistic information processing.