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- W3021837989 abstract "Publisher SummaryThis chapter discusses the fuzzy metrology. Metrology is an application of fuzzy logic. Fuzzy metrology has the same goal as the conventional or crisp metrology for acquiring an accurate numerical value of some physical quantity. Conventional metrology compares the physical entity with a standard reference, whereas fuzzy metrology is more indirect. The chapter explains the crisp metrology as a means of assigning one or a few numbers to the task of representing a more complex reality. This provides the setting for what follows. Furthermore, the chapter discusses the mathematics of conventional metrology—Bayesian statistics. The chapter shows how fuzzy and Bayesian logics can be mutually beneficial. The chapter offers some examples from nature and technology and indicates when and why is fuzzy metrology advantageous. Fuzzy metrology is the most measurement-economic way of characterizing the world. The chapter concludes with a discussion on the designing of the fuzzy membership sets." @default.
- W3021837989 created "2020-05-13" @default.
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- W3021837989 date "1999-01-01" @default.
- W3021837989 modified "2023-09-23" @default.
- W3021837989 title "Fuzzy Metrology" @default.
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- W3021837989 doi "https://doi.org/10.1016/b978-012443870-5.50028-9" @default.
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