Search Results - Mamdani inference algorithm

DEVELOPING INCIDENT DETECTION ALGORITHM BASED ON THE MAMDANI FUZZY INFERENCE ALGORITHM by Nikolaev, Andrey Borisovich, Sapego, Yuliya Sergeevna

“…Application of fuzzy logic in the incident detection system allows making a decision under uncertainty. The phase of incident detection is a process of finding…”
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Fountains Height Measurement Accuracy With Mamdani Fuzzy Inference System Algorithm by Devita, Retno, Zain, Ruri Hartika, Ipriadi

“… The pattern height produced by the fountain greatly affects the beauty of a garden. The purpose of this research is to measure the height of the fountain accurately using the Mamdani Fuzzy Inference System (FIS) method…”
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A Novel Risk Matrix Approach Based on Cloud Model for Risk Assessment Under Uncertainty by Jianxing, Yu, Haicheng, Chen, Shibo, Wu, Haizhao, Fan

“… He. An adjusted Mamdani inference algorithm is constructed for the determination of an integrated risk cloud given the value of input…”
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Study on the variable pitch control of the wind power unit based on mamdani inference and conventional control algorithm by Rashid, Asif, Ying, Deng

“…This paper firstly analysed the theory of the Wind Turbine (WT) pitch control algorithms to maximize energy yield, and then based on the analysis, 3 MW wind…”
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ALGORITHM TO ADJUST FUZZY INFERENCE SYSTEM OF MAMDANI TYPE by Golosovskiy, M.S., Bogomolov, A.V., Terebov, D.S., Evtushenko, E.V.

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Automatic Categorization of Documents Using Latent Semantic Analysis and Fuzzy Inference Algorithm of Mamdani by Khomonenko, Anatoly Dmitrievich, Logashev, Sergej Vjacheslavovich, Krasnov, Sergey Aleksandrovich

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Simulation model of wind turbine power control system with fuzzy regulation by Mamdani and Larsen algorithms by Aziz, Ghadah Adil

“… Two different algorithms were used for fuzzy inference in the control loop, the Mamdani and Larsen algorithms…”
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Optimizing alpha–beta filter for enhanced predictions accuracy in industrial applications using Mamdani fuzzy inference system by Khan, Junaid, Fayaz, Muhammad, Zaman, Umar, Lee, Eunkyu, Balobaid, Awatef Salim, Bilal, Muhammad, Kim, Kyungsup

“… Our proposed method has two important components: the primary predictor utilizing the alpha–beta algorithm, and a rule-based mechanism leveraging the Mamdani fuzzy inference system…”
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Fuzzy Mamdani based user-friendly interface for food preservatives determination by Rajesh Mavani, Nidhi, Lim, Chou Yuh, Hashim, Haslaniza, Abd. Rahman, Norliza, Mohd Ali, Jarinah

“…•The framework consists of two inference systems namely Mamdani and Takagi-Sugeno-Kang (TSK).•Mamdani based GUI which is a user-friendly interface has been developed to detect the preservative…”
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Solving a Multi-Traveling Salesmen Problem using a Mamdani Fuzzy Inference Engine and Simulated Annealing Search Algorithm by Hassanpour, Fatemeh, Akbarzadeh-T, Mohamad-R.

“… Regarding the complexity degree, this problem is well known as a NP-Hard problem. Therefore, several meta-heuristic algorithms have been developed at the frontiers of knowledge to solve this problem…”
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Power consumption control of multi-pump systems of the main water drainage in underground mines based on the Mamdani fuzzy inference system by Mykhailenko, O, Baranovskyi, V, Shchokin, V, Karabut, N, Kolomits, H

“…The article considers synthesis of an expert system for controlling electric power consumption by pumps of main water drainage facilities of an underground mine on the basis of the Mamdani fuzzy inference algorithm…”
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Modeling the initiation of sediment motion under a wide range of flow conditions using a Geno-Mamdani Fuzzy Inference System method by Bizimana, Hussein, Altunkaynak, Abdüsselam

“… In the current study, the Mamdani Fuzzy Inference System (Mamdani FIS) is used to develop a comprehensive fuzzy model of the incipient motion of sediment…”
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Comparison of fuzzy inference systems for streamflow prediction by OZGER, Mehmet

“…A comparison of the Mamdani and the Takagi-Sugeno (TS) fuzzy inference systems is presented for predicting streamflow values…”
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FuzzyLogic.jl: A Flexible Library for Efficient and Productive Fuzzy Inference by Ferranti, Luca, Boutellier, Jani

“… like Mamdani, Sugeno and Type-2 systems, can be easily expanded with custom user settings or algorithms and can perform fuzzy inference efficiently…”
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Dr. Flynxz – A First Aid Mamdani-Sugeno-type fuzzy expert system for differential symptoms-based diagnosis by Mantim Innocent Fale, Ya'u Gital Abdulsalam

“… – A First Aid Mamdani-Sugeno-type Fuzzy Expert System for Differential Symptoms-Based Diagnosis…”
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Performance analysis of stirling engine using computational intelligence techniques (ANN & Fuzzy Mamdani Model) and hybrid algorithms (ANN-PSO & ANFIS) by Machesa, M. G. K., Tartibu, L. K., Okwu, M. O.

“…—artificial neural network (ANN) and Fuzzy Mamdani Model (FMM) and hybrid algorithms—adaptive neuro-fuzzy inference system (ANFIS…”
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Petrophysical data prediction from seismic attributes using committee fuzzy inference system by Kadkhodaie-Ilkhchi, Ali, Rezaee, M. Reza, Rahimpour-Bonab, Hossain, Chehrazi, Ali

“… ) and porosity, are predicted from seismic attributes using various fuzzy inference systems (FISs), including Sugeno (SFIS), Mamdani (MFIS) and Larsen (LFIS). Secondly, a committee fuzzy inference system…”
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Adaptive Management of Multi-Scenario Projects in Cybersecurity: Models and Algorithms for Decision-Making by Tynchenko, Vadim, Lomazov, Alexander, Lomazov, Vadim, Evsyukov, Dmitry, Nelyub, Vladimir, Borodulin, Aleksei, Gantimurov, Andrei, Malashin, Ivan

“… Fuzzy production rules are employed for decision-making, while the Mamdani fuzzy inference algorithm enhances interpretability…”
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Performance evaluation of artificial intelligence paradigms—artificial neural networks, fuzzy logic, and adaptive neuro-fuzzy inference system for flood prediction by Tabbussum, Ruhhee, Dar, Abdul Qayoom

“…), fuzzy logic, and adaptive neuro-fuzzy inference system (ANFIS) algorithms are used to develop nine different flood prediction models using all the available training algorithms…”
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Environment humidity and temperature prediction in agriculture using Mamdani inference systems by Velandia, Julio Barón, Capera Quintana, Jonathan Steven, Vanegas Ayala, Sebastian Camilo

“…, such as genetic algorithms, and exact methods such as Quasi-Newton. It has been identified that non-specialized users could have difficulties in understanding the system dynamics and the behavior of variables over time…”
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