Modeling the process of searching for operationally significant information from open state information resources by E. Yu. Nikulina, L. A. Obukhova, E. A. Rogozin

“…The purpose of the study is to increase the effectiveness of measures to identify, investigate and disclose offenses and crimes based on the analysis of Internet resources in order to identify and structure information suitable for intellectual analysis; identify relationships between data categories, develop a model for obtaining operationally significant information from open government information resources. …”
Get full text

Configural Perspectives on Urban Talent Ecology and Talent Competitiveness: A Dual Analysis Using GQCA and fsQCA by Peng Jiang, Zhaohu Dong, Ran Zhang, Yingchun Song

“…These findings were further validated through fuzzy set qualitative comparative analysis (fsQCA) for robustness testing. …”
Get full text

Detection of Victimization Patterns and Risk of Gender Violence Through Machine Learning Algorithms by Edna Rocio Bernal-Monroy, Erika Dajanna Castañeda-Monroy, Rafael Ricardo Rentería-Ramos, Sixto Enrique Campaña-Bastidas, Jessica Barrera, Tania Maribel Palacios-Yampuezan, Olga Lucía González Gustin, Carlos Fernando Tobar-Torres, Zeneida Rocio Ceballos-Villada

“…The algorithms employed include K-means for clustering, artificial neural networks, random forests, decision trees, and multiclass classification algorithms combined with fuzzy classification techniques to handle the incomplete data. …”
Get full text

Identification and analysis of factors affecting the maturity of knowledge-based companies in the food industry with the approach of the fourth-generation industry by Ali Mohaghar, Fatemeh Saghafi, Mohammad Hasan Maleki, Daryamehr Keshani

Get full text

Optimal allocation of renewable energy resources in a smart grid under neutrosophic credibility-based uncertainty by Muhammad Zafar Abbas, Rukhshanda Anjum, Muhammad Umar Mirza, Abdulrahman A. Almehizia, Amir Hussain

Get full text

Intelligent dosing and control analysis system for coal mine domestic sewage based on STM32F303 by Quan Peng, Zhenjiang Qiao, Genhu Zhang, Hui Su, Shengfu Mi, Xiaoying Lv

“…Based on the STM32F303 microcontroller, this study designs and implements an intelligent dosing and control analysis system for coal mine domestic sewage. The system monitors critical parameters such as pH value, turbidity, and dissolved oxygen in sewage in real time and adopts a fuzzy control algorithm and Proportional-Integral-Derivative Control Algorithm (PID) control strategy to realize intelligent adjustment of the dosing process. …”
Get full text

Assessing the industry 4.0 strategies for a steel supply chain: SWOT, game theory, and gap analysis by Sima Motallebi, Mostafa Zandieh, Akbar Alem Tabriz, Erfan Babaee Tirkolaee

“…The components of I4.0 are determined based on a review of existing literature and interviews with experts from the Iranian steel industry, utilizing the fuzzy Delphi method. Afterward, Strengths, Weaknesses, Opportunities, and Threats (SWOT) policies are developed. …”
Get full text

Estimation of Cloud Water Resources in China by Jie Yu, Yuquan Zhou, Miao Cai, Jianjun Ou

“…This study provides a scientific framework for predicting future variations in cloud water resources across China, offering critical theoretical and data-driven support for the sustainable development and utilization of atmospheric water resources.…”
Get full text

The Measurement of Resilience and Its Distribution in Tehran Districts by محمدحسین شریف‌زادگان, راضیه رمضانی

“…A conceptual model is made on this basis, and used to calculate a combined resilience indicator using ‘Fuzzy Analytic Network Process’ (F’ANP), which is comprised of factor analysis and ANP network model. …”
Get full text

Predicting User Engagement in Health Misinformation Correction on Social Media Platforms in Taiwan: Content Analysis and Text Mining Study by Hsin-Yu Kuo, Su-Yen Chen

“…The posts were manually annotated by developing a research framework based on the fuzzy-trace theory, categorizing information into “gist” and “verbatim” representations. …”
Get full text

Spatial Zoning of Agricultural Tourism Capabilities in Rural Areas of Lorestan Province by Mohammad reza Rezvani, Fatemeh Nickravesh, Nasrin Kazemi

“…The second and third are Sarnaveh village, in the lowest rank, has the highest distance from the positive ideal and the lowest distance from the negative ideal. 4-Conclusion According to the results, a practical approach for spatial analysis of tourism potential based on the fuzzy-TOPSIS hierarchical model was presented in order to enable the development of agricultural tourism in Lorestan province. …”
Get full text

A Framework for Identifying and Analyzing the Factors Affecting Corporate Governance in the Country's Banking System with the Approach of Realizing Resistance Economy by Hamed Sarvarian, Omid Ali Adeli, Mohammad Hasan Maleki

“…The theoretical population of the research was experts in corporate governance and resistance economy in the banking system.Sampling was done by judgment and based on the expertise of experts.Interview and questionnaire are the most important data collection tools.In this research, qualitative and quantitative techniques were used together.Findings:At first, 34 factors affecting corporate governance in the form of seven main factors were extracted through theme analysis.The main research factors were: technological and innovative factors, legal and regulatory factors, transparency and reporting factors, structural factors, managerial factors, sustainability factors and educational-consulting factors.In the next step, sub-factors were screened by distribution of expert questionnaires and fuzzy Delphi method.11 factors had a defuzzified number higher than 0.7.The screened factors were evaluated by the Cocoso method.The priority factors were:the extent use of advisors and experts in resistance economy and corporate governance issues, the extent of banks' attention to indicators of resistance economy in sustainability reports, the extent of banks' transparency in the selection, hiring and promotion of managers, the use from data-driven technologies for transparency of contracts and the extent to which banks move towards sustainability.Results:Functional suggestions were developed based on the most important factors. …”
Get full text

Post-pandemic job market: an analysis of factors influencing university students’ willingness for flexible employment based on SEM-ANN-fsQCA by Quanling Cai, Weidong Chen, Mingxing Wang, Kaisheng Di

“…This study investigates how self-determination efficacy influences university students’ willingness to pursue flexible jobs in China. Using data from 1270 survey responses, we applied Partial Least Squares Structural Equation Modeling (PLS-SEM), Artificial Neural Networks (ANN), and Fuzzy-Set Qualitative Comparative Analysis (fsQCA). …”
Get full text

Occurrence characteristics and utilization potential of scarce coking coal resources in Huaibei coalfield by Run ZHAN, Wenyong ZHANG, Feng HAN, Fengtang SUI, Jiayi GU, Guijian LIU, Tian ZHAO

“…The Huaibei Coalfield in Anhui Province, as one of the first key mining areas of scarce coking coal set up by the state, has rich resources and excellent coal quality, and is the most promising coking coal resource source in East China.In order to systematically understand the occurrence characteristics and exploitation and utilization potential of scarce coking coal in the study area, this paper reveals the spatio-temporal difference characteristics, formation control factors and resource potential of scarce coking coal in the study area through coal rock analysis, industrial coal quality index test, comprehensive mapping and resource evaluation, using previous drilling data and underground supplementary sampling tests.The results show that the scarce coking coal in Huaibei coalfield is well developed, and the floating coal after washing shows the characteristics of ultra−low water, ultra−low ash, ultra−low sulfur, ultra−low fixed carbon, medium and high volatile, and has the process properties of medium−strong bonding and coking, low potassium and sodium content, and good mechanical strength and thermal strength.The scarce coking coal is controlled by the regional structure and the sedimentary distribution of coal seams, and the coal seams of Xiashihezi Formation 7 and 8 are the most developed. …”
Get full text

Driving Mechanisms of User Engagement With AI-Generated Content on Social Media Platforms: A Multimethod Analysis Combining LDA and fsQCA by Jiajun Hou, Hongju Lu, Baojun Wang

“…Using fuzzy-set Qualitative Comparative Analysis (fsQCA), this study identified seven configurational paths that drive user engagement with AIGC on social media platforms, which were ultimately summarized into three core pathways: user perception—platform recommendation pathway, user perception—platform atmosphere pathway, and technology characteristics—user perception—platform recommendation—platform atmosphere pathway. …”
Get full text

Triboinformatic analysis and prediction of B4C and granite powder filled Al 6082 composites using machine learning regression models by Amit Aherwar, Anamika Ahirwar, Vimal Kumar Pathak

“…Seven different supervised regression-based ML models were applied to accurately predict wear characteristics, with hyperparameter tuning conducted to ensure a robust comparative analysis. The developed model’s results were evaluated utilizing a number of statistical metrics to identify the most reliable algorithm for wear and COF prediction. …”
Get full text

Prediction of coalbed methane productivity based on neural network models by JIN Yi, ZHENG Chenhui, SONG Huibo, MA Jiaheng, YANG Yunhang, LIU Shunxi, ZHANG Kun, NI Xiaoming

“…Finally， according to the classification results， combined with the actual drainage data， the BP and LSTM neural network algorithms were used to predict the daily gas production of CBM wells.ResultsThe results show that： （1） Based on the grey correlation method model analysis， 10 parameters such as permeability， gas saturation and reservoir pressure gradient in the study area are the key factors affecting the gas production performance of coalbed methane； （2） Using fuzzy mathematics evaluation method to evaluate the enrichment of coalbed methane， the gas production effects of 34 wells in the study area is divided into three categories： favorable area， relatively favorable area and unfavorable area. （3）A coal reservoir daily gas production prediction model was established based on the LSTM algorithm， with a prediction error value between 4.06% and 14.79%， and the average error value of 11.09%. …”
Get full text

Estimating Total Sediment Load Using Water Quality Parameters in the Sufi Chay River, Iran: A Comparative Analysis of Soft Computing and Dimensionless Approaches by Jafar Chabokpour

“…The sediment transport and the relation to water quality parameters and hydrological characteristics in the Sufi Chay River in Iran were investigated in this study using long-term monitoring data. Traditional statistical methods, dimensionless parameter analysis, and advanced soft computing techniques are combined within the scope of the presented comprehensive analysis. …”
Get full text

Geração de zonas de manejo para cafeicultura empregando-se sensor SPAD e análise foliar Coffee crop management zone delimitation using chlorophyll index and leaf analysis by Francelino A. Rodrigues Junior, Luciano B. Vieira, Daniel M. de Queiroz, Nerilson T. Santos

“…<br>The objective of this work was to define management zones for fertilizer application in coffee crop by using the K-means and the Fuzzy C-Means methods. The data used to define management zones were the chlorophyll index measured by SPAD sensor and the nutritional coffee leaf analysis performed in laboratory. …”
Get full text

Coupled coordination relationship and enhancement path between digital economy and essential public health services in China by Kunyu Chen, Kunyu Chen, Qunshan Tao, Qunshan Tao, Yang Wang, Yang Wang, Zili Ding, Zili Ding, Rui Fu, Rui Fu

“…By employing a coupling coordination model and dynamic fuzzy-set qualitative comparative analysis (fsQCA), this study systematically reveals the interaction mechanisms and optimization pathways between the two systems.ResultsThe key findings are as follows: (1) Temporal Trends: The degree of coupling coordination has undergone a phased transition from “on the verge of disorder” to “primary coordination.” …”
Get full text