Fuzzy Systems and its Applications

Fuzzy Systems and its Applications

Provide Fuzzy-Statistical Process Quality Control Diagrams Using Fuzzy Operator

Document Type : Original Article

Author
Reza Poormoosa
20.1001.1.27174409.1399.3.2.10.7/DOR
Abstract
Fuzzy logic believes that ambiguity is in the nature of science. Contrary to popular belief that approximations need to be refined to increase productivity, the founder of fuzzy logic, Lotfizadeh, believes that models should be sought to model ambiguity as part of the system. This paper monitors and controls processes with fuzzy information through a fuzzy operator instead of non-fuzzy operators, and illustrates this using an industrial example.
Keywords
Quality Control Limits Of Fuzzy
Statistical Process Fuzzy
Statistical Control Chart Statistics Fuzzy
Statistical Control Chart
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Fuzzy Systems and its Applications
Volume 3, Issue 2 - Serial Number 6
Open Access Statement
December 2020
Pages 165-176

  • Receive Date 02 February 2021
  • Accept Date 26 April 2021