Results 11 to 20 of about 5,901 (210)
Geometric Defuzzification revisited [PDF]
Information Sciences, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Greenfield, Sarah
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A new derivation of centroid defuzzification [PDF]
10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2005 We describe a new symmetry-based derivation of centroid defuzzification for fuzzy logic and fuzzy control.
Oussalah, Mourad +2 more
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Towards axiomatic foundations for defuzzification theory [PDF]
1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111), 2002 Reihe Computational Intelligence ...
Thiele, Helmut
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Type-2 Fuzzy Logic: Circumventing the Defuzzification Bottleneck [PDF]
, 2012 Type-2 fuzzy inferencing for generalised, discretised type-2 fuzzy sets has been impeded by the computational complexity of the defuzzification stage of the fuzzy inferencing system. Indeed this stage is so complex computationally that it has come to be
Greenfield, Sarah
core +7 more sources
Centroids Beyond Defuzzification
, 2021 In general, expert rules expressed by imprecise (fuzzy) words of natural language like "small" lead to imprecise (fuzzy) control recommendations. If we want to design an automatic controller, we need, based on these fuzzy recommendations, to generate a single control value. A procedure for such generation is known as defuzzification.
Figueroa-Garcia, Juan Carlos +2 more
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Control of the temperature regime of the process of bacterial oxidation on the basis of fuzzy logic
Системный анализ и прикладная информатика, 2023 The work is devoted to modeling the temperature control system for the process of bacterial oxidation of refractory gold-bearing sulfide ores. The simulation was performed using the Fuzzy Logic Toolbox editor in the MATLAB software package.
O. A. Jumaev +2 more
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Intuitive multiple centroid defuzzification of intuitionistic Z-numbers [PDF]
Journal of Fuzzy Extension and Applications, 2022 In fuzzy decision-making, incomplete information always leads to uncertain and partially reliable judgements. The emergence of fuzzy set theory helps decision-makers in handling uncertainty and vagueness when making judgements.
Nik Muhammad Farhan Hakim Nik Badrul Alam +4 more
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Fuzzy Logic as a Tool for Assessing Students’ Knowledge and Skills
Education Sciences, 2013 Fuzzy logic, which is based on fuzzy sets theory introduced by Zadeh in 1965, provides a rich and meaningful addition to standard logic. The applications which may be generated from or adapted to fuzzy logic are wide-ranging and provide the opportunity ...
Michael Gr. Voskoglou
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Centroids Beyond Defuzzification [PDF]
, 2020 In general, expert rules expressed by imprecise (fuzzy) words of natural language like small lead to imprecise (fuzzy) control recommendations. If we want to design an automatic controller, we need, based on these fuzzy recommendations, to generate a ...
Servin, Christian +2 more
core +1 more source
Center of Largest Area Defuzzifier Vnit VLSI Architecture
Tikrit Journal of Pure Science, 2023 Defuzzification unit combines fuzzy variables and fuzzy decisions to form a corresponding real (crisp or non-fuzzy) signal which can be used then to actuate some processes.
Asim Majeed Murshid +2 more
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