Reasoning conditions on Kóczy's interpolative reasoning method in sparse fuzzy rule bases
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Publication:1920307
DOI10.1016/0165-0114(94)00337-7zbMath0861.68100OpenAlexW1992021188MaRDI QIDQ1920307
Whu Zhi Qiao, Masaharu Mizumoto, Shi Yan
Publication date: 25 August 1996
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0165-0114(94)00337-7
Related Items (12)
Rough-fuzzy rule interpolation ⋮ Optimal hedge-algebras-based controller: design and application ⋮ Transformation-based fuzzy rule interpolation using interval type-2 fuzzy sets ⋮ Analysis and design of time-variant fuzzy systems based on dynamic fuzzy inference ⋮ Interpolation of fuzzy data: analytical approach and overview ⋮ Closed form fuzzy interpolation ⋮ Interpolativity of at-least and at-most models of monotone fuzzy rule bases with multiple antecedent variables ⋮ Fuzzy interpolative reasoning based on ranking values of polygonal fuzzy sets and automatically generated weights of fuzzy rules ⋮ An improvement to Kóczy and Hirota's interpolative reasoning in sparse fuzzy rule bases ⋮ Reasoning conditions on Kóczy's interpolative reasoning method in sparse fuzzy rule bases. II ⋮ A new interpolative reasoning method in sparse rule-based systems ⋮ Approximate reasoning based on linguistic truth value with \(\alpha\)-operator
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- Fuzzy sets and systems. Theory and applications
- Comparison of fuzzy reasoning methods
- Fuzzy logic and approximate reasoning
- Approximate reasoning by linear rule interpolation and general approximation
- Interpolative reasoning with insufficient evidence in sparse fuzzy rule bases
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