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Bachar Meryem
Pág. 125 - 139
This work presents the analysis, design, simulation and hardware implementation of the classical Fuzzy Logic (FL) and the proposed Fuzzy Logic Type 2 (FLT2) MPPT techniques for standalone PV System. FL and FLT2 MPPT algorithms are simulated via MATLAB/ S...
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Tien Anh Tran
The marine main diesel engine rotational speed automatic control plays a significant role in determining the optimal main diesel engine speed under impacting on navigation environment conditions. In this article, the application of fuzzy logic control th...
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Tien Anh Tran
The marine main diesel engine rotational speed automatic control plays a significant role in determining the optimal main diesel engine speed under impacting on navigation environment conditions. In this article, the application of fuzzy logic control th...
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Chengmin Zhou, Lansong Jiang and Jake Kaner
This study aims to integrate data-driven methodologies with user perception to establish a robust design paradigm. The study consists of five steps: (1) theoretical research?a review of the subject background and applications of Kansei engineering and gr...
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Christos Tzimopoulos, Kyriakos Papadopoulos, Nikiforos Samarinas, Basil Papadopoulos and Christos Evangelides
In this work, a novel fuzzy FEM (Finite Elements Method) numerical solution describing the recession flow in unconfined aquifers is proposed. In general, recession flow and drainage problems can be described by the nonlinear Boussinesq equation, while th...
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Husam Musa Baalousha, Anis Younes, Mohamed A. Yassin and Marwan Fahs
Flood risk assessment is an important tool for urban planning, land development, and hydrological analysis. The flood risks are very high in arid countries due to the nature of the rainfall resulting from thunderstorms and the land cover, which comprises...
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Patricia Ochoa, Cinthia Peraza, Oscar Castillo and Zong Woo Geem
The shadowed type-2 fuzzy systems are used more frequently today as they provide an alternative to classical fuzzy logic. The primary purpose of fuzzy logic is to simulate reasoning in a computer. This work aims to use shadowed type-2 fuzzy systems (ST2-...
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Rasheed Gbenga Jimoh, Olayinka Olufunmilayo Olusanya, Joseph Bamidele Awotunde, Agbotiname Lucky Imoize and Cheng-Chi Lee
In the field of software development, the efficient prioritizing of software risks was essential and play significant roles. However, finding a viable solution to this issue is a difficult challenge. The software developers have to adhere strictly to ris...
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Shuxin Jin, Mai Hao and Ming Cai
Driven by economic development and environmental protection, vehicles are gradually renovating their power to renewable energy. As an essential part of renewable energy, photovoltaic (PV) energy is highly valued and studied worldwide. Future social devel...
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Nguy?n Công Hào,Nguy?n Van Hán,Phan Công Vinh DOI: 10.26459/hueuni-jtt.v128i2B.5250
In this paper, we study fuzzy graph rewriting with automaton and regular expression. We use hedge algebra and linguistic variables for modeling and reasoning with words. We figure out theorem of limiting in state space. We also prove that both regular la...
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Oscar Castillo, Fevrier Valdez, José Soria, Leticia Amador-Angulo, Patricia Ochoa and Cinthia Peraza
This paper presents a comparison among the bee colony optimization (BCO), differential evolution (DE), and harmony search (HS) algorithms. In addition, for each algorithm, a type-1 fuzzy logic system (T1FLS) for the dynamic modification of the main param...
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Oscar Castillo, Fevrier Valdez, José Soria, Leticia Amador-Angulo, Patricia Ochoa and Cinthia Peraza
This paper presents a comparison among the bee colony optimization (BCO), differential evolution (DE), and harmony search (HS) algorithms. In addition, for each algorithm, a type-1 fuzzy logic system (T1FLS) for the dynamic modification of the main param...
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Paulo Vitor de Campos Souza, Augusto Junio Guimaraes, Vanessa Souza Araújo, Thiago Silva Rezende, Vinicius Jonathan Silva Araújo
Pág. 114 - 133
This paper presents a novel learning algorithm for fuzzy logic neuron based on neural networks and fuzzy systems able to generate accurate and transparent models. The learning algorithm is based on ideas from Extreme Learning Machine [36], to achieve a l...
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Sayyed Hedayat Tarighi Nejad, Reza Alinaghian, Mehdi Sadeghzadeh
Pág. 2702 - 2719
The large-scale deployment of wireless sensor networks and the need for data aggregation necessitate efficient organization of the network topology for the purpose of balancing the load and prolonging the network lifetime. Clustering is one of the import...
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O. V. Lavrukhin
Pág. 84 - 86
The article examines possibilities of creation on the railway transport of the adequate decision-making support system on the basis of the fundamentals of the fuzzy sets and fuzzy logic theories.
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Dragan S Pamucar, Darko Bo?anic, Nenad Komazec
Pág. 23 - 34
Risk assessment of natural and other disasters in the Republic of Serbia is defined using special methodology. This paper presents a model of improving the existing methodology by using a new generation of fuzzy logic systems (fuzzy logic systems of type...
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Juan Miguel Sánchez-Lozano, Eloy Peña-Asensio and Hector Socas-Navarro
This study presents the implementation of Multi-Criteria Decision-Making (MCDM) methodologies, particularly the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS), in prioritizing technosignatures (TSs) for the search for ex...
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Mihai Crengani?, Radu-Eugen Breaz, Sever-Gabriel Racz, Claudia-Emilia Gîrjob, Cristina-Maria Biri?, Adrian Maro?an and Alexandru Bârsan
This scientific paper presents the development and validation process of a dynamic model in Simulink used for decision-making regarding the locomotion and driving type of autonomous omnidirectional mobile platforms. Unlike traditional approaches relying ...
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Maryam Alzaid and Fethi Fkih
It is crucial to analyze opinions about the significant shift in education systems around the world, because of the widespread use of e-learning, to gain insight into the state of education today. A particular focus should be placed on the feedback from ...
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Gema Fernández-Blanco Martín, Fernando Matía, Lucía García Gómez-Escalonilla, Daniel Galan, M. Guadalupe Sánchez-Escribano, Paloma de la Puente and Mario Rodríguez-Cantelar
Personal assistants and social robotics have evolved significantly in recent years thanks to the development of artificial intelligence and affective computing. Today?s main challenge is achieving a more natural and human interaction with these systems. ...
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