Suchergebnisse - Mamdani inference algorithm

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

    ISSN: 2328-1391, 2227-930X
    Veröffentlicht: Science and Innovation Center Publishing House 21.09.2017
    Veröffentlicht in International journal of advanced studies (21.09.2017)
    “… 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 von Devita, Retno, Zain, Ruri Hartika, Ipriadi

    ISSN: 1742-6588, 1742-6596
    Veröffentlicht: Bristol IOP Publishing 01.02.2021
    Veröffentlicht in Journal of physics. Conference series (01.02.2021)
    “… 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 von Jianxing, Yu, Haicheng, Chen, Shibo, Wu, Haizhao, Fan

    ISSN: 2169-3536, 2169-3536
    Veröffentlicht: Piscataway IEEE 2021
    Veröffentlicht in IEEE access (2021)
    “… 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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  4. 4

    Study on the variable pitch control of the wind power unit based on mamdani inference and conventional control algorithm von Rashid, Asif, Ying, Deng

    ISSN: 1755-1307, 1755-1315
    Veröffentlicht: Bristol IOP Publishing 01.07.2020
    “… 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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    Simulation model of wind turbine power control system with fuzzy regulation by Mamdani and Larsen algorithms von Aziz, Ghadah Adil

    ISSN: 1818-1171, 2312-0789
    Veröffentlicht: Baghdad, Iraq University of Baghdad, al-Khwarizmi College of Engineering 11.12.2017
    Veröffentlicht in Ai-Khawarizmi engineering journal (11.12.2017)
    “… 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 von Khan, Junaid, Fayaz, Muhammad, Zaman, Umar, Lee, Eunkyu, Balobaid, Awatef Salim, Bilal, Muhammad, Kim, Kyungsup

    ISSN: 1110-0168
    Veröffentlicht: Elsevier B.V 01.04.2025
    Veröffentlicht in Alexandria engineering journal (01.04.2025)
    “… 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 von Rajesh Mavani, Nidhi, Lim, Chou Yuh, Hashim, Haslaniza, Abd. Rahman, Norliza, Mohd Ali, Jarinah

    ISSN: 0960-3085, 1744-3571
    Veröffentlicht: Rugby Elsevier B.V 01.03.2021
    Veröffentlicht in Food and bioproducts processing (01.03.2021)
    “… •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 von Hassanpour, Fatemeh, Akbarzadeh-T, Mohamad-R.

    ISSN: 2643-279X
    Veröffentlicht: IEEE 29.10.2020
    “… 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 von Mykhailenko, O, Baranovskyi, V, Shchokin, V, Karabut, N, Kolomits, H

    ISSN: 1755-1307, 1755-1315
    Veröffentlicht: Bristol IOP Publishing 01.10.2023
    “… 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 von Bizimana, Hussein, Altunkaynak, Abdüsselam

    ISSN: 1001-6279
    Veröffentlicht: Elsevier B.V 01.10.2020
    Veröffentlicht in International journal of sediment research (01.10.2020)
    “… 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 von OZGER, Mehmet

    ISSN: 0262-6667, 2150-3435
    Veröffentlicht: Wallingford Taylor & Francis Group 01.04.2009
    Veröffentlicht in Hydrological sciences journal (01.04.2009)
    “… 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 von Ferranti, Luca, Boutellier, Jani

    ISSN: 1558-4739
    Veröffentlicht: IEEE 13.08.2023
    “… 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 von Mantim Innocent Fale, Ya'u Gital Abdulsalam

    ISSN: 1319-1578
    Veröffentlicht: Springer 01.04.2022
    “… – 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) von Machesa, M. G. K., Tartibu, L. K., Okwu, M. O.

    ISSN: 0941-0643, 1433-3058
    Veröffentlicht: London Springer London 01.01.2023
    Veröffentlicht in Neural computing & applications (01.01.2023)
    “… —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 von Kadkhodaie-Ilkhchi, Ali, Rezaee, M. Reza, Rahimpour-Bonab, Hossain, Chehrazi, Ali

    ISSN: 0098-3004, 1873-7803
    Veröffentlicht: Kidlington Elsevier Ltd 01.12.2009
    Veröffentlicht in Computers & geosciences (01.12.2009)
    “… ) 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 von Tynchenko, Vadim, Lomazov, Alexander, Lomazov, Vadim, Evsyukov, Dmitry, Nelyub, Vladimir, Borodulin, Aleksei, Gantimurov, Andrei, Malashin, Ivan

    ISSN: 2504-2289, 2504-2289
    Veröffentlicht: Basel MDPI AG 01.11.2024
    Veröffentlicht in Big data and cognitive computing (01.11.2024)
    “… 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 von Tabbussum, Ruhhee, Dar, Abdul Qayoom

    ISSN: 0944-1344, 1614-7499, 1614-7499
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2021
    “… ), 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 von Velandia, Julio Barón, Capera Quintana, Jonathan Steven, Vanegas Ayala, Sebastian Camilo

    ISSN: 2088-8708, 2722-2578, 2088-8708
    Veröffentlicht: Yogyakarta IAES Institute of Advanced Engineering and Science 01.08.2021
    “… , 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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