DocumentCode :
3663979
Title :
Formalizing the informal, precisiating the imprecise: How fuzzy logic can help mathematicians and physicists by formalizing their intuitive ideas
Author :
Vladik Kreinovich
Author_Institution :
Univ. of Texas at El Paso, El Paso, TX, USA
fYear :
2015
Firstpage :
1
Lastpage :
1
Abstract :
Summary form only given. Fuzzy methodology transforms expert ideas - formulated in terms of words from natural language - into precise rules and formulas. In this talk, we show that by applying this methodology to intuitive physical and mathematical ideas, we can get known fundamental physical equations and known mathematical techniques for solving these equations. This fact makes us confident that in the future, fuzzy techniques will help physicists and mathematicians to transform their imprecise ideas into new physical equations and new techniques for solving these equations.
Keywords :
"Transforms","Computer science","Uncertainty","Information processing","Fuzzy logic","Natural languages"
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015 Annual Conference of the North American
Type :
conf
DOI :
10.1109/NAFIPS-WConSC.2015.7284119
Filename :
7284119
Link To Document :
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