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- W2990595600 abstract "In fuzzy logic we carefully design membership functions to obtain proper values that represent the degree of truthiness. In most of the cases, membership functions deal with the most important and common factors/parameters that affect the degree of truthiness and at the same time, might ignore some factors that could decrease the degree of truthiness and increase the degree of doubt. Ignoring the doubts yields to not accurately get the degree of truthiness values. In this paper we explain what we mean by doubts and how it might affect the calculation of the degree of truthiness and finally we propose an approach to consider the degree of doubts and how it is incorporated in membership functions." @default.
- W2990595600 created "2019-12-05" @default.
- W2990595600 creator A5027446191 @default.
- W2990595600 date "2019-09-01" @default.
- W2990595600 modified "2023-09-24" @default.
- W2990595600 title "Incorporate Doubts in Fuzzy Logic" @default.
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- W2990595600 doi "https://doi.org/10.1109/3ict.2019.8910304" @default.
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