International Conference on Fuzzy Systems 2010
DOI: 10.1109/fuzzy.2010.5584830
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A logical analysis of Mamdani-type fuzzy inference, I theoretical bases

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Cited by 11 publications
(5 citation statements)
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“…To infer rules, the Mamdani inferring technique (Bova et al, 2010) is used, which is based on the precise "IF-THEN" rulebase. In this way, the 27 rule guidelines in the rule-base are formed by the three input variables used together to decide the various alternatives for data routing through an intermediary route.…”
Section: 𝒄𝒐𝒓𝒆(𝑭 𝒅 ) β†’ βŸ¨π’– ∈ 𝑼|𝝁 𝑭 𝒅 (𝒖) = 𝟏⟩mentioning
confidence: 99%
“…To infer rules, the Mamdani inferring technique (Bova et al, 2010) is used, which is based on the precise "IF-THEN" rulebase. In this way, the 27 rule guidelines in the rule-base are formed by the three input variables used together to decide the various alternatives for data routing through an intermediary route.…”
Section: 𝒄𝒐𝒓𝒆(𝑭 𝒅 ) β†’ βŸ¨π’– ∈ 𝑼|𝝁 𝑭 𝒅 (𝒖) = 𝟏⟩mentioning
confidence: 99%
“…Berbeda dengan logika klasik (crisp) atau tegas, suatu nilai hanya memiliki 2 kemungkinan, yaitu menjadi anggota himpunan atau tidak. Derajat keanggotaan 0 berarti nilai tersebut bukan anggota himpunan dan 1 berarti nilai tersebut anggota himpunan [15]. Pada metode mamdani sering dikenal dengan metode max-min yang dimana terdapat beberapa tahapan antara lain:…”
Section: Fuzzy Logicunclassified
“…n , is the collection of all faces of βˆ† n having dimension not greater than 1. 4 We say ran T P is a Hamiltonian path if there is a permutation Ο€ : {1, . .…”
Section: Characterisation Of Pseudo-triangular Bases Of Fuzzy Setsmentioning
confidence: 99%
“…For background on the few basic notions from piecewise linear geometry we use here, please see[21] 4. Thus, βˆ†(1)n happens to be a graph.…”
mentioning
confidence: 99%