Uncertain Systems are Universal Approximators

نویسندگان

  • Zixiong Peng
  • Xiaowei Chen
چکیده

Uncertain inference is a process of deriving consequences from uncertain knowledge or evidences via the tool of conditional uncertain set. Based on uncertain inference, uncertain system is a function from its inputs to outputs. This paper proves that uncertain systems are universal approximators, which means that uncertain systems are capable of approximating any continuous function on a compact set to arbitrary accuracy. This result can be viewed as an existence theorem of an optimal uncertain system for a wide variety of problems. keywords: Uncertainty theory; uncertain inference; uncertain system; universal approximation

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تاریخ انتشار 2014