Fuzzy Set and Soft Set Theories as Tools for Vocal Risk Diagnosis by José Sanabria, Marinela Álvarez, Osmin Ferrer

“…Mathematical tools such as fuzzy set theory and soft set theory have been successfully applied for data analysis in many real-life problems where there is presence of vagueness and uncertainty in the data. …”
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Ontology Modeling Using Fractal and Fuzzy Concepts to Optimize Metadata Management by Siku Kim, Yee Yeng Liau, Kwangyeol Ryu

“…Implemented in the Web Ontology Language (OWL) for standardization and interoperability purposes, FFOM ultimately provides a clear pathway toward developing more intelligent, adaptive, and scalable data ecosystems in demanding manufacturing domains, where real-time data analysis is critical.…”
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Design a Fuzzy Expert System for Liver and Pancreas Diseases Diagnosis by Baydaa Bhnam

“…Fuzzy logic is a branch of artificial intelligence techniques, it deals with uncertainty in knowledge that simulates human reasoning in incomplete or fuzzy data. …”
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Technology for risk assessment at product lifecycle stages using fuzzy logic by A. N. Chesalin, S. Ya. Grodzenskiy, Pham Van Tu, M. Yu. Nilov, A. N. Agafonov

“…A generalized algorithm of expert assessment is presented, which is recommended to follow when developing expert systems for risk analysis. Various models of fuzzy inference (Mamdani, Takagi-Sugeno, hybrid neuro-fuzzy inference) are considered. …”
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Adaptive neuro-fuzzy inference systems for improved mastitis classification and diagnosis by Javad Shirani Shamsabadi, Saeid Ansari Mahyari, Mostafa Ghaderi-Zefrehei

“…Abstract For modeling dairy cattle data, fuzzy logic offers the capability to manage uncertainty, enhance accuracy, facilitate informed decision-making, and optimize resource allocation. …”
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Designing a fuzzy system for lung disease diagnosis based on spirometry by firuze ebrahimpoor, vali derhami, mehrdad mostaghaci, mohammad javad zare, Raziyeh Soltani Gerdefaramarzi

“…Due to the increasing use of the classification system in the prediction and detection based on the test samples, diagnosis the patients and non- patients according to their pulmonary performance without testing can be achieved relying on data-based prediction methods. Method:In this study, a new method developed by fuzzy system was used to determine the restriction syndrome pulmonary disease to find workers in the tile industry. …”
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An Enhanced Interval Type-2 Fuzzy C-Means Algorithm for Fuzzy Time Series Forecasting of Vegetation Dynamics: A Case Study from the Aksu Region, Xinjiang, China by Yongqi Chen, Li Liu, Jinhua Cao, Kexin Wang, Shengyang Li, Yue Yin

“…To overcome these limitations, this study enhances the interval type-2 fuzzy clustering time series (IT2-FCM-FTS) model by developing a pixel-level time series forecasting framework, optimizing fuzzy interval divisions, and extending the model from unidimensional to spatial time series forecasting. …”
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Model for the Assessment of Seawater Environmental Quality Based on Multiobjective Variable Fuzzy Set Theory by Lina Ke, Huicheng Zhou

“…Through the quantitative research of water-quality data from 2004 to 2008, the model is more reliable than other traditional methods, in which uncertainty and ambiguity of the seawater quality evaluation are considered, and trade the stable results as the final results of seawater quality evaluation, which effectively solved the impact of the fuzzy boundary of evaluation standard and monitoring error, is more suitable for evaluation of a multi-index, multilevel, and nonlinear marine environment system and has been proved to be an effective tool for seawater quality evaluation.…”
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Investigating Social Network Peer Effects on HIV Care Engagement Using a Fuzzy-Like Matching Approach: Cross-Sectional Secondary Analysis of the N2 Cohort Study by Cho-Hee Shrader, Dustin T Duncan, Redd Driver, Juan G Arroyo-Flores, Makella S Coudray, Raymond Moody, Yen-Tyng Chen, Britt Skaathun, Lindsay Young, Natascha del Vecchio, Kayo Fujimoto, Justin R Knox, Mariano Kanamori, John A Schneider

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A Novel Approach to Portfolio Construction: An Application of FinBERT Sentiment Analysis and Credibilistic CVaR Criterion by Esmaeil Taheripour, Seyed Jafar Sadjadi, Babak Amiri

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Decision-analytics-based green performance evaluation in the railway transportation industry – An integrated hesitant fuzzy approach by Ashraf Norouzi, Dragan Pamucar, Vladimir Simic

“…To address this issue, the present research aims to develop a new hybrid method for group decision-making in a hesitant fuzzy environment. …”
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A multi-dimensional neutrosophic PESTEL approach to assessing the TEC21 educational model by Mohd Anas Wajid, Claudia Camacho-Zuñiga

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Context Adaptation of Fuzzy Inference System-Based Construction Labor Productivity Models by Abraham Assefa Tsehayae, Aminah Robinson Fayek

“…Such challenges are addressed in this paper through the development of a context adaptation framework. The framework is used to transfer the knowledge represented in fuzzy inference (FIS) based CLP models from one context to another, by using linear and nonlinear evolutionary based transformation of the membership functions combined with sensitivity analysis of fuzzy operators and defuzzification methods. …”
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Deep learning and fuzzy algorithm in improving the effectiveness of college English translation teaching by Biao Kong, Che He

“…Based on the data analysis of 387 students, the BiLSTM model is used to train translation tasks, and the fuzzy inference system is used to evaluate translation quality comprehensively. …”
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Cloud Platform Selection Model in the Framework of Differential Quality Game With Fuzzy Information by Kaiyrbek Makulov, Arkadii A. Chikrii, Valery Lakhno, Bagdat Yagaliyeva, Volodimir Malyukov, Inna Malyukova, Miroslav Lakhno

“…The paper presents a mathematical model integrated into the computational core of a decision support system (DSS) for the selection of cloud platforms under conditions of fuzzy information. The model facilitates the development of rational strategies for players’ interaction with cloud platforms, allowing to balance investment, security and quality of services provided. …”
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Optimal Promotional Effort Policy for Innovation Diffusion Model in a Fuzzy Environment by Kuldeep Chaudhary, Shivani Bali, Sunita Mehta (Sharma)

“…The experimental data reveals that profitability can still be maximized if real-life constraints are applied in promotional planning by any industry.…”
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An integrated DEA-fuzzy AHP method for prioritization of renewable energy sources in India by Jyoti Luhaniwal, Shivi Agarwal, Trilok Mathur

“…This study analyzes various RES in India-solar, geothermal, hydro, biomass, wave, onshore, and offshore wind energy -using an integrated data envelopment analysis (DEA) and fuzzy analytic hierarchy process (Fuzzy AHP) methodology. …”
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Multistage Training of Fuzzy Cognitive Maps to Predict Preeclampsia and Fetal Growth Restriction by William Hoyos, Rodrigo Garcia, Jose Aguilar

“…Convergence analysis demonstrated the stability of the FCM generated during the training stages. …”
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Circular intuitionistic fuzzy Hamacher aggregation operators for multi-attribute decision-making by Aliya Fahmi, Aziz Khan, Zahida Maqbool, Thabet Abdeljawad

“…The findings underscore the advantages of using Hamacher-based operations with C-IFSs, offering a novel contribution to fuzzy decision-making and opening avenues for future research in uncertain data analysis.…”
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Analysis and comprehensive assessment method of power quality in advanced distribution networks based on complex network theory by Jieyun Zheng, Ruochen Chen, Zhanghuang Zhang, Xin Wei, Jingwei Xue

“…IntroductionAs China continues to develop the advanced power systems, the network structure of distribution networks is becoming increasingly complex. …”
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