Selection of AI model for predicting disability diseases through bipolar complex fuzzy linguistic multi-attribute decision-making technique based on operators by Ubaid ur Rehman, Meraj Ali Khan, Ibrahim Al-Dayel, Tahir Mahmood

“…To address these limitations, this paper proposes a new MADM approach within the environment of bipolar complex fuzzy linguistic sets (BCFLSs). In this manuscript, our primary contributions include, the proposal of four new Maclaurin symmetric mean (MSM) operators, in the setting of BCFLSs, analysis of properties of these operators to build the theoretical framework, development of a novel MADM approach to address uncertainties, bipolarity (dual aspects), addition fuzzy information; and linguistic terms (LTs), and application of the interpreted methodology to handle a real-life case study containing AI model selection for predicting disability disease. …”
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What Affects Agricultural Green Total Factor Productivity in China? A Configurational Perspective Based on Dynamic Fuzzy-Set Qualitative Comparative Analysis by Danni Lu, Xinhuan Zhang, Degang Yang, Shubao Zhang

“…This study thoroughly analyzed the synergistic mechanisms of factors such as natural endowment, agricultural technology, economic development, and environmental regulation, exploring their impact on AGTFP enhancement through the innovative application of the dynamic fuzzy-set qualitative comparative analysis (fsQCA) method. …”
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Penerapan Decision Tree J48 dan Reptree dalam Menentukan Prediksi Produksi Minyak Kelapa Sawit menggunakan Metode Fuzzy Tsukamoto by Tundo Tundo, Shofwatul 'Uyun

“…Abstract This study explains the application of the J48 and REPTree decision tree using the fuzzy Tsukamoto method with the object used is the determination of the amount of palm oil production in the company PT Tapiana Nadenggan with the aim of knowing which decision tree the results are close to the actual data so that it can be used to help predict the amount palm oil production at PT Tapiana Nadenggan when the production process has not been processed. …”
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Model Transportasi Jalur Laut untuk Distribusi Semen Curah by Jenny Andres Yunirman

“…Distribution of bulk cement transportation model created is one form of the application of linear programming model integers. This model uses a binary 0 or 1 as a decision variable, in this case is the assignment of the ship. …”
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Optimization algorithms for multivariate sampling reduction using spatial-temporal data by Tamara Cantú Maltauro, Luciana Pagliosa Carvalho Guedes, Miguel Angel Uribe-Opazo

“…This study aimed to propose a methodology that integrates multivariate and space-time analyses to obtain an optimized sample configuration, using spatio-temporal data and application zones. First, three spatial multivariate clustering methods were evaluated to obtain the application zone (fuzzy C-means, K-means and Ward). …”
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MODEL OF RATING OF NON PHYSICAL QUANTITY by V. M. Romanchak

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Developing and Implementing a Risk Analysis-Based Model for Effective Management of Protected Areas by Yehia Miky, Usama Hamed Issa, Kamil Faisal, Moataz Nael Kordi, Khalaf Finassani Alshammari

“…This work presents a new strategy to support managing PAs in Saudi Arabia, which can be easily adapted for application in other countries.…”
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Finite-Time Synchronization Criteria for Caputo Fractional-Order Uncertain Memristive Neural Networks with Fuzzy Operators and Transmission Delay Under Communication Feedback by Hongguang Fan, Kaibo Shi, Zizhao Guo, Anran Zhou

“…Combining comparative theorems, inequality techniques, and stability theory, novel delay-independent conditions can be derived to ensure the finite-time synchronization (FTS) of fuzzy CFUMNNs. Besides, the upper bound of the settling time can be effectively evaluated based on feedback coefficients and control parameters, which makes the achievements of this study more practical for engineering applications such as signal encryption and secure communications. …”
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Enhanced Control of Nonlinear Systems Under Control Input Constraints and Faults: A Neural Network-Based Integral Fuzzy Sliding Mode Approach by Guangyi Yang, Stelios Bekiros, Qijia Yao, Jun Mou, Ayman A. Aly, Osama R. Sayed

“…Motivated by this, our study unveils an innovative control approach that combines a neural network-based sliding mode algorithm with fuzzy logic systems to handle nonlinear systems. …”
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A new advanced third-order sliding mode control with adaptive gain adjustment using fuzzy logic technique for standalone photovoltaic systems by Nesrine Cherigui, Abdelkarim Chemidi, Ahmed Tahour, Mohamed Horch

“…This paper proposed a novel MPPT strategy based on a fuzzy third-order sliding mode controller (FTOSMC) designed for PV systems. …”
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Priority Roles of Stakeholders for Overcoming the Barriers to Implementing Education 4.0: An Integrated Fermatean Fuzzy Entropy-Based CRITIC-CODAS-SORT Approach by Roselyn Gonzales, Rose Mary Almacen, Gamaliel Gonzales, Felix Costan, Decem Suladay, Lynne Enriquez, Emily Costan, Nadine May Atibing, Joerabell Lourdes Aro, Samantha Shane Evangelista, Fatima Maturan, Egberto Selerio, Lanndon Ocampo

“…To this end, an integrated entropy-based CRITIC-CODAS-SORT under a Fermatean fuzzy (FF) environment addresses epistemic uncertainties inherent in decision-making. …”
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Techniques and Models for Addressing Occupational Risk Using Fuzzy Logic, Neural Networks, Machine Learning, and Genetic Algorithms: A Review and Meta-Analysis by Chris Mitrakas, Alexandros Xanthopoulos, Dimitrios Koulouriotis

“…The main conclusions indicate that the primary sectors utilizing these techniques are industry, transportation, construction, and cross-sectoral models and techniques that are applicable to multiple occupational fields. An additional finding is the reasoning behind researchers’ preference for fuzzy systems over neural networks, primarily due to the availability or lack of accident databases. …”
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Two-Layer Intelligent Learning Control Using Output Recurrent Fuzzy Neural Long Short-Term Memory Broad Learning System With RMSprop by Ali Rospawan, Ching-Chih Tsai, Chi-Chih Hung

“…This paper proposes a novel two-layer intelligent learning control framework to address these issues, integrating an output recurrent fuzzy neural long short-term memory broad learning system (ORFNLSTM-BLS) with a root mean squared propagation (RMSprop) optimization algorithm. …”
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Advancing eHealth in Society 5.0: A Fuzzy Logic and Blockchain-Enhanced Framework for Integrating IoMT, Edge, and Cloud With AI by Joy Dutta, Deepak Puthal

“…We introduce the Health Prediction using Cloud Edge 2.0 (HPCE 2.0) algorithm, which employs fuzzy logic to effectively combine historical Electronic Health Records (EHRs) with real-time IoMT data, providing precise and personalized health severity level predictions. …”
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An intelligent assessment of factors affecting new generations in the era of the internet and new media using intuitionistic hesitant fuzzy sugeno-weber aggregation operators by Yuxin Li, Yao Liu, Dan Zhao

“…Almost every area of life involves some degree of uncertainty and fuzziness. The best method for practically reducing ambiguity when determining the best option from fuzzy and uncertain data is multi-attribute decision-making (MADM). …”
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BREAST-RANKNet: a fuzzy rank-based ensemble of CNNs with residual learning for enhanced breast cancer detection from ultrasound and mammogram images by Sohaib Asif, Lingying Zhu, Dane Yan, Luman Xu, Zhengqiu Huang, Haimin Xu, Ruxuan Yan, Linghong Cai, Changfu Zheng, Jiamei Lin, Enyu Wang

“…We enhance the dataset by employing fuzzy contrast enhancement, which improves image quality and ensures better feature extraction for more accurate breast cancer detection. …”
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Uncertain Automata and Uncertain Graph Grammar by Florentin Smarandache, Takaaki Fujita

“…Graph theory has been widely studied, resulting in numerous applications across various felds. Among its many topics, Automata and Graph Grammar have emerged as signifcant areas ofresearch. …”
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A Study on Regular Domination in Vague Graphs with Application by Xiaolong Shi, Maryam Akhoundi, A. A. Talebi, Masome Mojahedfar

“…Vague graphs (VGs), which are a family of fuzzy graphs (FGs), are a well-organized and useful tool for capturing and resolving a range of real-world scenarios involving ambiguous data. …”
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On Control Synthesis of Hydraulic Servomechanisms in Flight Controls Applications by Ioan Ursu, Daniela Enciu, Adrian Toader

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An Application of Variational Minimization: Quasi-Harmonic Coons Patches by Daud Ahmad, Kiran Naz, Sadia Bashir, Abdul Bariq

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