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Modeling of Fuzzy Data
Fuzzy data are imprecise data obtained from measurements, perception or by interviewing people. Typically, those data are expressed in linguistic...
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Set-valued Data
Since fuzzy sets are generalizations of ordinary sets, we present in this Chapter the essentials of random set theory for statistics. This material...
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Tests of Hypothesis: Means
In many expositions of fuzzy methods, fuzzy techniques are described as an alternative to a more traditional statistical approach. In this chapter,...
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Fuzzy Time Series Analysis and Forecasting
The problem of system modeling and identification has attracted considerable attention during the past decades mostly because of a large number of...
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Fuzzy Statistical Analysis and Estimation
In social science research, many decisions, evaluations, or purposes of evaluations are done by surveys or questionnaires to seek for people’s...
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Aspects of Statistical Inference
With the background in previous chapters, problems of statistical inference with fuzzy data should be somewhat straightforward in principle! By that...
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Convergence of Random Fuzzy Sets
As in Chapter 5, we view random fuzzy sets as generalizations of random closed sets on R d , or more generally on...
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Random Fuzzy Sets
Statistical models for observations which are numbers or vectors are random variables and random vectors, respectively. Similarly, if the...
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Introduction
First like fuzzy logics are logics with fuzzy concepts, by fuzzy statistics we mean statistics with fuzzy data. Data are fuzzy when they are...
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Assessment of spray patterns and efficiency of an unmanned sprayer used in planar growing systems
Automated technologies in precision agriculture enable unmanned systems to precisely target areas with chemicals through controlled nozzle movements....
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Performance evaluation of nursing homes using finite mixtures of logistic models and M-quantile regression for binary data
Evaluating the performance of health care institutions is of paramount interest and it is often conducted using generalized linear mixed models. In...
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Predicting the rock cutting performance indices using gene expression modeling
In this study, a machine learning approach was employed to optimize the rock cutting process for construction practices and geotechnical engineering...
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Enhanced streamflow forecasting using attention-based neural network models: a comparative study in MOPEX basins
To mitigate the adverse effects of floods, hydrologists are increasingly turning to artificial intelligence methodologies to enhance streamflow...
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CLUSTERDC: A New Density-Based Clustering Algorithm and its Application in a Geological Material Characterization Workflow
The ore and waste materials extracted from a mineral deposit during the mining process can have significant variations in their physical and chemical...
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An Artificial Neural Network Approach for Predicting TOC and Comprehensive Pyrolysis Parameters from Well Logs and Applications to Source Rock Evaluation
Understanding source rocks' organic content and thermal maturity is crucial in assessing their hydrocarbon potential. To address this, our study...
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Failure analysis in smart grid solar integration using an extended decision-making-based FMEA model under uncertain environment
Failures in the integration of solar energy into smart grids can have significant implications for energy reliability and environmental...
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Forecasting short- and medium-term streamflow using stacked ensemble models and different meta-learners
Streamflow forecasting holds a pivotal role in the effective management of water resources, flood control, hydropower generation, agricultural...
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Quantifying the stochastic trends of climate extremes over Yemen: a comprehensive assessment using ERA5 data
Climate change is worsening existing vulnerabilities in develo** countries such as Yemen. This study examined the spatial distribution trends of...
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SsL-VGMM: A Semisupervised Machine Learning Model of Multisource Data Fusion for Lithology Prediction
In deep mineral exploration, it is difficult to constrain the complex geological structures using a single geophysical method. To tackle the...
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Effects of Different Concentrations of Weak Acid Fracturing Fluid on the Microstructure of Coal
As a crucial factor that influences the hydraulic fracturing effectiveness of coal seams, fracturing fluids have garnered increasing attention. Among...
