Study on role of fuzzy numbers in decision making problems

In most cases, quantitative and qualitative input components are included throughout the human-based decision making process of industrial settings. The decision-making process will always involve some element of subjectivity due to the nature of human judgement. In an environment for making decisions in industry that is fuzzy-based and in which fuzzy numbers are used to evaluate subjective variables, ranking fuzzy numbers becomes one of the most important steps that must be taken before a final choice can be made. In this article, we suggest a strategy for sorting fuzzy numbers that is based on their similarities. The suggested method's relevance in resolving selected industrial-related decision making issues, including the risk assessment and pattern identification issues, is presented below.