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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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Analyzing RNA-Seq Data in Complex Study Designs
Recently, RNA-seq experiments have become a routine technique in studying the transcriptomic regulations in various biomedical problems. The...
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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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Heart rate variability as a predictor of intraoperative autonomic nervous system homeostasis
The aim of the proof-of-concept study is to investigate the level of concordance between the heart rate variability (HRV), the EEG-based Narcotrend...
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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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A Review of Anonymization Algorithms and Methods in Big Data
In the era of big data, with the increase in volume and complexity of data, the main challenge is how to use big data while preserving the privacy 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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SurvdigitizeR: an algorithm for automated survival curve digitization
BackgroundDecision analytic models and meta-analyses often rely on survival probabilities that are digitized from published Kaplan–Meier (KM) curves....
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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...
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Optimising a digitally delivered behavioural weight loss programme: study protocol for a factorial cluster randomised controlled trial
BackgroundDigitally delivered weight loss programmes can provide a convenient, potentially cheaper, and scalable treatment option for people who may...
