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    Hybrid group decision making method based on multi-granular information using fusion algorithms and consistent fuzzy preference relation / Siti Amnah Mohd Ridzuan by Mohd Ridzuan, Siti Amnah

    Published 2017
    “…Both algorithm been illustrated in textbook selection. The proposed methods can be utilized as another option to solve a decision making problem.…”
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    Thesis
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    Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood by Mahmood, Aminah

    Published 2004
    “…First experiment use exact match, which is no method, is applied. Second experiment use stenmiing method. …”
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    Thesis
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    Research on the security algorithm of reversible information hiding in communication encrypted image by Jijun, Wang, Soo, Fun Tan, Yi, Yuan

    Published 2021
    “…Considering the embedding capacity and the security of the algorithm, the paper proposes a reversible information hiding algorithm for encrypted images based on. …”
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    Proceedings
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    Optimization of k-Nearest Neighbour to categorize Indonesian’s news articles by Ihsan, Afdhalul, Rainarli, Ednawati

    Published 2021
    “…There are several filter-based feature selection methods; some are Chi-Square, Information Gain, Genetic Algorithm, and Particle Swarm Optimization (PSO). …”
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    Article
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    Task-state EEG feature extraction for spatial cognition analysis: a power spectral density and permutation conditional mutual information approach by Liu, Yijun, Mustafa, Mohd Shafie, Saripan, M Iqbal, Kamel Ariffin, Muhammad Rezal, Wan, Xianglong, Dong, Xianling, Lan, Xifa, Wen, Dong

    Published 2025
    “…The permutation conditional mutual information (PCMI) method which combined time and spatial domain information was found effective in analyzing EEG signals of neuron groups. …”
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    Article
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    Adaptive firefly algorithm for hierarchical text clustering by Mohammed, Athraa Jasim

    Published 2016
    “…Text clustering is essentially used by search engines to increase the recall and precision in information retrieval. As search engine operates on Internet content that is constantly being updated, there is a need for a clustering algorithm that offers automatic grouping of items without prior knowledge on the collection. …”
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    Thesis
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    Utilizing artificial bee colony algorithm as feature selection method in Arabic text classification by Hijazi, Musab, Zeki, Akram M., Ismail, Amelia Ritahani

    Published 2023
    “…In this paper, the filter method chi square and the Artificial Bee Colony) ABC algorithm were both used as FS methods . …”
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    Article
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    Information extraction using Link Grammar by N., Zamin

    Published 2009
    “…Many algorithms have been reported for IE ranging from simple statistical methods to advanced Natural language Processing (NLP) methods. …”
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    Conference or Workshop Item
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    Application of induced preorderings in score function-based method for solving decision-making with interval-valued fuzzy soft information by Ali, Mabruka, Kilicman, Adem, Khameneh, Azadeh Zahedi

    Published 2021
    “…In order to provide a partial solution to this problem, we present a group decision-making solution which is based on a preference relationship of interval-valued fuzzy soft information. …”
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    Article
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    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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    Thesis
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    Aco-based feature selection algorithm for classification by Al-mazini, Hassan Fouad Abbas

    Published 2022
    “…The modified graph clustering ant colony optimisation (MGCACO) algorithm is an effective FS method that was developed based on grouping the highly correlated features. …”
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    Thesis
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    A Hybrid K-Means Hierarchical Algorithm for Natural Disaster Mitigation Clustering by Prasetyadi, Abdurrakhman, Nugroho, Budi, Tohari, Adrin

    Published 2022
    “…Cluster methods such as k-means have been widely used to group areas with a relatively equal number of disasters to determine areas prone to natural disasters. …”
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    Article
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    Multi-objective clustering algorithm using particle swarm optimization with crowding distance (MCPSO-CD) by Rashed, Alwatben Batoul, Hamdan, Hazlina, Mohd Sharef, Nurfadhlina, Sulaiman, Md Nasir, Yaakob, Razali, Abubakar, Mansir

    Published 2020
    “…Clustering, an unsupervised method of grouping sets of data, is used as a solution technique in various fields to divide and restructure data to become more significant and transform them into more useful information. …”
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    Article
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    Committee neural networks with fuzzy genetic algorithm. by Jafari , S.A., Mashohor , Syamsiah, Varnamkhasti, M. Jalali

    Published 2011
    “…The results show that the proposed method (fuzzy genetic algorithm) gives the smallest error and highest correlation coefficient compared to five members and genetic algorithm and produces significant information on the reliability of the permeability predictions.…”
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    Article
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