Failure Evaluation of Electronic Products Based on Double Hierarchy Hesitant Fuzzy Linguistic Term Set and K-Means Clustering Algorithm

The extent of failure evaluation depends on the complexity and significance electronic products. However, traditional mode effect analysis (FMEA) has many shortcomings, which brings large difficulty to evaluating work. This paper uses double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) K-means clustering algorithm improve shortcomings FMEA. DHHFLTS is a language terms based symmetry method uniform granularity. Firstly, we determine product up an team after formulating symmetrical set. psychological changes evaluators can be truly expressed by using DHHFLTS. Secondly, entropy weight used calculate members. information personnel aggregated Then, distance between modes each cluster center point normalized influencing factors evaluator. Finally, electromagnet taken as example prove objectivity practicability new method.