Enhancing peer assessment with artificial intelligence by Keith J. Topping, Ed Gehringer, Hassan Khosravi, Srilekha Gudipati, Kaushik Jadhav, Surya Susarla

“…However, the focus of many papers was on diversity in grades and feedback, fuzzy logic and the analysis of feedback with a view to equalizing its quality. …”
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Measuring product quality by using the hybrid MCDM based on DANP in a hesitant fuzzy approach by Seyed Mahdi Rouhani Poor, Ahmad Jafarnejad Chaghoshi, Hannan Amoozad Mahdiraji, Mohammad Ehsanifar

“…Due to the uncertainty of experts' in determining the mutual impact of product quality factors, the DEMATEL technique was combined with hesitant fuzzy logic, the resulting technique was then integrated with the Network Analysis Process (ANP), and the final model was extracted (DEMATEL based ANP (DANP)). …”
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Definition of Triangular Norms and Triangular Conorms on Subfamilies of Type-2 Fuzzy Sets by Pablo Hernández-Varela, Francisco Javier Talavera, Susana Cubillo, Carmen Torres-Blanc, Jorge Elorza

“…In certain stages of the application of a type-2 fuzzy logic system, it is necessary to perform operations between input or output fuzzy variables in order to compute the union, intersection, aggregation, complement, and so forth. …”
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Diagnosis of Non-Tumor Stenosing Lesions of the Major Duodenal Papilla Using Endoscopic Ultrasonography by V. A. Belozerov, O. I. Okhotnikov, N. A. Korenevskiy, V. A. Prokopov, S. N. Grigoriev, S. M. Shevyakin

“…The combination of endoscopic ultrasonography with fuzzy logic technologies based on hybrid artificial intelligence made it possible to objectify the diagnosis of MDP stenosis and optimize indications for transpapillary interventions.…”
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Hybrid Models of Atmospheric Block Columns of Primary Oil Refining Unit Under Conditions of Initial Information Deficiency by Batyr Orazbayev, Zhadra Kuzhuhanova, Kulman Orazbayeva, Gulzhan Uskenbayeva, Zhanat Abdugulova, Ainur Zhumadillayeva

“…The linguistic models developed in Fuzzy Logic Toolbox allow for the assessment of the quality of gasoline from the atmospheric block depending on the content of chloride salts and the mass fraction of sulfur in the raw material. …”
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A computational time integrator for heat and mass transfer modeling of boundary layer flow using fuzzy parameters by Muhammad Shoaib Arif, Wasfi Shatanawi, Yasir Nawaz

“…This method enhances scientific and engineering models by employing fuzzy logic in computational fluid dynamics.…”
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Measuring effective indicators for waste disposal in order to assess the sustainable environment: application of fuzzy approach by Mohammad Hossein Kabgani

“…Also, the technical contribution of this article is presented by combining fuzzy logic and Nonlinear mathematical programming.…”
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Estimating Complex Signals With a Fuzzy-Enhanced Kalman Filter: A Note on “the Output Regulation and the Kalman Filter as the Signal Generator” by Jesus Alberto Meda-Campana, Juan Carlos Garcia-Hernandez, Rodolfo Daniel Velazquez-Sanchez, Luis Alberto Paramo-Carranza, Tonatiuh Hernandez-Cortes, Ricardo Tapia-Herrera

“…Furthermore, the result shows that incorporating simple fuzzy logic concepts may substantially enhance the performance of some established algorithms.…”
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Soft computing approaches of direct torque control for DFIM Motor's by Zakariae Sakhri, El-Houssine Bekkour, Badre Bossoufi, Nicu Bizon, Mishari Metab Almalki, Thamer A.H. Alghamdi, Mohammed Alenezi

“…This article provides a critical analysis of the following cutting-edge methods: DTC with Space Vector Modulation (DTC-SVM), DTC based on Fuzzy Logic (DTC-FL), DTC using Artificial Neural Networks (DTC-ANN), DTC optimized by Genetic Algorithms (DTC-GA), DTC with Ant Colony Optimization (DTC-ACO), DTC with rooted tree optimization (DTC-RTO), Sliding Mode Control (DTC-SMC), and Predictive DTC (P-DTC). …”
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Fuzzy Inference System Mamdani dalam Prediksi Produksi Kain Tenun Menggunakan Rule Berdasarkan Random Tree by Tundo Tundo, Shoffan Saifullah

“…In this study, to obtain a prediction of the amount of woven fabric production is done by computerized calculations using the Mamdani fuzzy logic method. This method uses the concept of a random tree decision tree in forming rules. …”
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A Hybrid Fuzzy Wavelet Neural Network Model with Self-Adapted Fuzzy c-Means Clustering and Genetic Algorithm for Water Quality Prediction in Rivers by Mingzhi Huang, Di Tian, Hongbin Liu, Chao Zhang, Xiaohui Yi, Jiannan Cai, Jujun Ruan, Tao Zhang, Shaofei Kong, Guangguo Ying

“…In this work, a novel intelligent prediction model based on the fuzzy wavelet neural network (FWNN) including the neural network (NN), the fuzzy logic (FL), the wavelet transform (WT), and the genetic algorithm (GA) was proposed to simulate the nonlinearity of water quality parameters and water quality predictions. …”
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Aplikasi Pertimbangan Wisata di Pulau Lombok dengan Metode Fuzzy Mamdani & Algoritma Genetika by Zainul Harir, Ida Bagus Ketut Widiartha, Royana Afwani

“…An application that can help tourists in determining travel decision is mandatory.The application developed with Mamdani Fuzzy Logic and Genetic Algorithm to provide tourism recommendations. …”
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Novel Pythagorean fuzzy score function to optimize fuzzy transportation models by Ritu, Tarun Kumar, Jahnvi, Kapil Kumar, Nitesh Dhiman, M.K. Sharma

“…To address the inherent uncertainty in classical transportation problems, fuzzy logic and its extensions such as intuitionistic fuzzy set (IFS), interval valued intuitionistic fuzzy set (IVIFS), Pythagorean fuzzy set (PFS) etc. are employed in the existing literature. …”
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Application of dynamic systems modeling approach to rank optimal urban waste management strategies using SWOT method by Hamid Shahbandarzadeh, Mohammad Hossein Kabgani

“…Also, from the technical point of view, the current research is innovative by focusing on combining fuzzy logic with the dynamic systems modelling approach and the Delphi method. …”
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Evaluation of the Economic Relationships on the Basis of Statistical Decision-Making in Complex Neutrosophic Environment by Abdul Nasir, Naeem Jan, Abdu Gumaei, Sami Ullah Khan, Mabrook Al-Rakhami

“…Fuzzy sets and fuzzy logics are used to model events with imprecise, incomplete, and uncertain information. …”
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