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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DPMine Graphical Language for Automation of Experiments in Process Mining by S. A. Shershakov

“…An illustrating example of an experiment for building a fuzzy model of the process discovered from the log data stored in a normalized database is given.…”
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APPLICATION OF SOFT SETS TO ASSESSMENT OF MATHEMATICAL MODELLING SKILLS by Майкл Воскоглоу

“…The theory of soft sets has found many and important applications to several sectors of the human activity like decision making, parameter reduction, data clustering and data dealing with incompleteness, etc. …”
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Construction and Application of Monitoring System for Green Tarpaulin Cover Net in Mega Cities by Yang SUN, Dawei GAO, Haoye JIANG, Wanguang DU

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Construction of Student Information Management System Based on Data Mining and Clustering Algorithm by XueHong Yin

“…Based on the analysis system development related tools and methods, in response to the needs of the student information management system, a simple student information management system is designed and implemented, which provides a platform and data source for the next application of clustering algorithm for performance analysis. …”
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Conceptual modeling of factors affecting the resilience of the supply chain and ranking of medical equipment suppliers of Tehran Besat Hospital with the combined application of Fuz... by Mazher Rezaei Far, Reza Eslami, Nima Saberifard

“…Subsequently, the opinions of experts regarding these factors were analyzed using the Fuzzy Delphi method. The statistical population of this study comprises experts in the field of medical sciences, from whom 14 individuals were selected through purposive sampling.Findings: In the data analysis phase, twenty criteria were selected using the Fuzzy Delphi method. …”
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Prediction of Soil Carbon Sequestration in Rangelands Regarding the Depth and Elevation of Sample Locations using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case Study: Lar Wat... by zeinab jafarian, zhila ghorbani

“…ANFIS modeling was created in MATLAB software and is based on the input/output dataset of a fuzzy inference system (FIS). This system is based on the combination of three components: membership functions of input and output variables (fuzzification), fuzzy rules (rule base), mechanism inference (a combination of rules with fuzzy input), output characteristics, and results of the system (de-fuzzification). …”
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What drives the development of digital rural life in China? by Chunlin Xiong, Yaling Wang, Zhenyu Wu, Fen Liu

“…This study endeavors to provide a meticulous analysis of the digital landscape in Chinese villages, seeking to unravel the intricacies behind the swift development of rural digital life. …”
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Privacy Risk Assessment of Medical Big Data Based on Information Entropy and FCM Algorithm by Xiaoliang Zhang, Tianwei Guo

“…With the rapid development of information technology and the advancement of medical informatization, medical big data plays an increasingly important role in diagnosis, treatment, health management, and other aspects. …”
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Optimal data-driven strategy for in-house and outsourced technological innovations by open banking APIs by Vinicius Dezem, Swati Sachan, Marcelo Macedo, André Andrade Longaray

“…The SVI minimizes implementation time and costs while maximizing operational action importance to a balanced digital strategy that combines both in-house and outsourced technological developments. The importance of operational action is quantified using evidential reasoning with fuzzy logic to address the challenge of aggregating incomplete and ambiguous banking data and assessments from multiple stakeholders. …”
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Research on Coordinated Development of a Railway Freight Collection and Distribution System Based on an “Entropy-TOPSIS Coupling Development Degree Model” Integrated with Machine L... by Yun Jing, Si-Ye Guo, Xuan Wang, Fang-Qiu Chen

“…This paper combines the theories of the integration of collection and distribution theory, coordination theory, and coupling theory and incorporates the machine learning fuzzy mathematics to construct an “Entropy-TOPSIS Coupling Development Degree Model” for dynamic intelligent quantitative analysis of the synergy of railway freight collection and distribution systems. …”
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Vulnerability and climate risk assessment in the Ecuadorian Amazon Region, based on ecological and socioeconomic infrastructures by Miguel Quishpe, Irene Acosta-Vargas, Adrian Buenaño, Bryan Rosero, Maria Reyes, Gustavo Duran, Rasa Zalakeviciute

“…These characteristics, combined with the lack of quantifiable data for the EAR, hinder the development of effective adaptation plans for climate hazards. …”
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Enhancing environmental sustainability: Optimal municipal-industrial waste burial site selection in Bandar Abbas, Iran using a fuzzy multi-criteria approach incorporating physical-... by Mahdi Ranjbari, Mohammad Amiri, Alireza Rasekhi Sahneh, Mahdi Faghihi

“…Using the Analytic Network Process (ANP) to weigh the criteria, this research develops information layers for each aspect. Euclidean distance mapping, combined with fuzzy operators (AND, OR, SUM, Product) and varied gamma values, generates a superposition map for site suitability analysis. …”
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Synthesis of a Generalized Algorithm for Processing and Generating Data on Reflected Signals from Complex Targets by Xung Ha Vo, Trung Kien Nguyen, Phung Bao Nguyen, Quang Hieu Dang

“…The following methodological approaches were used: the theory of digital signal processing; applied theory of radar image processing; MATLAB Simulink Toolboxes for simulating radar image processing; some prerequisites for fuzzy clustering methods.Results. Following an analysis of some characteristics of complex targets and the theory of radar image processing, an generalized algorithm was synthesized for processing and generating data of reflected signals from this class of targets. …”
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Optimizing pore pressure prediction in earth dams through the integration of panel data and intelligent models by Behrang Beiranvand, Taher Rajaee, Mehdi Komasi

“…The research focuses on developing a robust pore pressure prediction system for Eyvashan Dam by integrating multiple artificial intelligence techniques—including Feed-Forward Neural Networks (FFNN), Support Vector Regression (SVR), Group Method of Data Handling (GMDH), and Ensemble Artificial Neural Networks (EANN)—with Fuzzy C-Means Clustering (FCM) methodology. …”
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Effect of Road Traffic Noise Pollution on Human Work Efficiency in Government Offices, Private Organizations, and Commercial Business Centres in Agartala City Using Fuzzy Expert Sy... by Debasish Pal, Debasish Bhattacharya

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The machine learning in the prediction of elections by M.S.C. José A. León-Borges, M.A. Roger-Ismael-Noh-Balam, Lic. Lino Rangel Gómez, Br. Michael Philip Strand

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Decision Support System on Independent Curriculum Learning Models with Artificial Intelligence at Islamic Universities by Liza Efriyanti, Ihwana As'ad

“…This study addresses this gap by developing a Decision Support System (DSS) using Mamdani type 1 fuzzy logic, with the objective of assisting in determining an independent curriculum learning model tailored to Islamic higher education. …”
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Factors affecting the adoption of industry 4.0 technologies in circular economy: interpretive structure modelling (ISM) approach for future sustainability by Rakesh Kumar, Vinay Kandpal

“…This research collected data from academic and industry experts. A total of 15 variables were selected with the help of previous literature and expert opinion. …”
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Designing Model of Organizational Citizenship Behavior towards the Environment by Ebadallah Baneshi, Reza Ahmadi Kahnali, Reza Ameri Siyahooei, Behnaz Ghasemipoor

“…A purposive sampling technique was used, resulting in a sample size of 15 participants. Data analysis was executed using the Atlas.ti software for the qualitative portion of the research, while the localization of the identified components was performed using fuzzy Delphi in conjunction with SPSS24. …”
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