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Fuzzy Entropy Metrics for the Analysis of Biomedical Signals: Assessment and Comparison
IEEE Access, 2019 Fuzzy entropy (FuzEn) was introduced to alleviate limitations associated with sample entropy (SampEn) in the analysis of physiological signals. Over the past decade, FuzEn-based methods have been widely used in various real-world biomedical applications.
Hamed Azami +4 more
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Center of circles intersection, a new defuzzification method for fuzzy numbers [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2020 The article introduces a new proposal of a defuzzification method, which can be implemented in fuzzy controllers. The first chapter refers to the origin of fuzzy sets.
H. Zarzycki +3 more
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The Importance of The Place of Defuzzification Step In Fuzzy Systems
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2019 Fuzzy logic and fuzzy based techniques areapplied constantly in both social sciences and engineering sciences for fuzzysystems. However, theoretical content is neglected occasionally in thesedeveloped methods.
Yakup Çelikbilek
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Fuzzy Ranking Network DEA with General Structure
Mathematics, 2020 This paper extends two fuzzy ranking data envelopment analysis (DEA) approaches to the case of general networks of processes. The first approach provides an efficiency score for each possibility level which requires solving one linear program for each ...
Plácido Moreno, Sebastián Lozano
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A Review of Fuzzy Logic Method Development in Hydraulic and Pneumatic Systems
Energies, 2023 Fuzzy logic has been developed since the 1960s. Research related to fuzzy logic application in hydraulics and pneumatics is mainly aimed at energy demand reduction and improvement in operational characteristics.
Grzegorz Filo
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Project Quality Assessment Based on Fuzzy Nodeling
Цифровая трансформация, 2019 Methods for decision making as semi-structured goals which based on creation of linguistic model are considered in this article. Pattern of fuzzy model system is presented.
E. N. Zhivitskaya, T. A. Safronova
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Defuzzify Imprecise Numbers Using the Mellin Transform and the Trade-Off between the Mean and Spread
Algorithms, 2022 Uncertainty or vagueness is usually used to reflect the limitations of human subjective judgment on practical problems. Conventionally, imprecise numbers, e.g., fuzzy and interval numbers, are used to cope with such issues.
Chin-Yi Chen, Jih-Jeng Huang
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Methods of evaluating maturity level of the organization based on fuzzy modeling
Advanced Engineering Research, 2017 Introduction. The authors’ method of the objective evaluation of the maturity level of the organization for obtaining sustainable success on the basis of self-assessment is described.
Lyudmila Viktorovna Borisova +2 more
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Definition of Centroid Method as Defuzzification
Formalized Mathematics, 2022 Summary In this study, using the Mizar system [1], [2], we reuse formalization e orts in fuzzy sets described in [5] and [6]. This time the centroid method which is one of the fuzzy inference processes is formulated [10]. It is the most popular of all defuzzied methods ([11], [13], [7]) – here, defuzzified crisp value is obtained from
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Prominence and Relation following defuzzification.
, 2015 Prominence and Relation following defuzzification.
Lei Wang (6656) +7 more
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