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Pemodelan Sistem Fuzzy Dengan Menggunakan Matlab [PDF]
ComTech, 2010 Fuzzy logic is a method in soft computing category, a method that could process uncertain, inaccurate, and less cost implemented data. Some methods in soft computing category besides fuzzy logic are artificial network nerve, probabilistic reasoning, and ...
Afan Galih Salman
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Assessing Students’ Mathematical Knowledge with Fuzzy Logic
Education Sciences, 2022 Assessing student mathematical knowledge is an important factor in the mathematics learning process because students obtain important feedback to improve their knowledge and learning. Despite the importance of student assessment, several researchers have
Daniel Doz, Darjo Felda, Mara Cotič
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Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2022 The paper analyzes the main areas of application of mathematical methods in medical diagnostics, formulates principles of diagnostics based on fuzzy logic; developed mathematical models and algorithms that formalize the process of making diagnostic ...
Liudmyla Shkilniak +9 more
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Mathematical Fuzzy Logic in the Emerging Fields of Engineering, Finance, and Computer Sciences
Axioms, 2022 With more than 50 years of literature, fuzzy logic has gradually progressed from an emerging field to a developed research domain, incorporating the sub-domain of mathematical fuzzy logic (MFL) [...]
Amit K. Shukla
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Axioms, 2022 Although the idea of evaluating students’ mathematical knowledge with fuzzy logic is not new in the literature, few studies have explored the possibility of assessing students’ mathematical knowledge by combining teacher-assigned grades (i.e., school ...
Daniel Doz, Darjo Felda, Mara Cotič
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Fuzzy output system on the basis of the modified fuzzy Petri nets [PDF]
E3S Web of Conferences, 2020 The development of information technologies requires improvement of simulation methods and mathematical apparatus. The mathematical apparatus of Petri nets is used for simulation of parallel asynchronous systems and has a broad scope.
Kochkin Dmitry, Sukonschicov Aleksei
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Saturated Models in Mathematical Fuzzy Logic [PDF]
2018 IEEE 48th International Symposium on Multiple-Valued Logic (ISMVL), 2018 This paper considers the problem of building saturated models for first-order graded logics. We define types as pairs of sets of formulas in one free variable which express properties that an element is expected, respectively, to satisfy and to falsify. We show, by means of an elementary chains construction, that each model can be elementarily extended
Badia G., Noguera C.
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Comparison of Mathematical Modeling, Artificial Neural Networks and Fuzzy Logic for Predicting the Moisture Ratio of Garlic and Shallot in a Fluidized Bed Dryer [PDF]
Journal of Agricultural Machinery, 2019 Introduction Garlic (Allium sativum L.) is an important Allium crop in the world. Due to its therapeutic properties, it was cultivated in many countries.
M Kaveh +3 more
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Design of Type 2 Fuzzy Logic Controller for FESTO Process Workstation
Engineering Proceedings, 2023 Fuzzy logic is the most effective mathematical solution that has been presented in the last few years to deal with the problems in which imprecise and uncertain data exist.
Bendib Riad +4 more
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Time Series Analysis by Fuzzy Logic Methods
Algorithms, 2023 The method of analyzing data known as Discrete Mathematical Analysis (DMA) incorporates fuzzy mathematics and logic. This paper focuses on applying DMA to study the morphology of time series by utilizing the language of fuzzy mathematics.
Sergey M. Agayan +4 more
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