Results 11 to 20 of about 6,233 (217)
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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Image-Based Malware Detection Using α-Cuts and Binary Visualisation
Applied Sciences, 2023 Image conversion of malicious binaries, or binary visualisation, is a relevant approach in the security community. Recently, it has exceeded the role of a single-file malware analysis tool and has become a part of Intrusion Detection Systems (IDSs ...
Betty Saridou +3 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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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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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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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
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A New Fault Diagnosis Method Based on Attributes Weighted Neutrosophic Set
IEEE Access, 2019 Fault diagnosis is an extensively applied issue to monitor condition and diagnose fault for safe and stable operation of the machine, which started to develop during the industrial revolution and contains various theories and technologies.
Linfeng Gou, Yu Zhong
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Center of Sums based Defuzzifier Unit VLSI Architecture
Tikrit Journal of Pure Science, 2023 Defuzzification is a process of getting a crisp value from the fuzzy data. Since the fuzzy data cannot be used directly for the real time applications, therefore it has to be converted into a crisp value.
Asim Majeed Murshid
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