Results 21 to 30 of about 80,067 (268)
Jointly Modeling Rating Responses and Times with Fuzzy Numbers: An Application to Psychometric Data
Mathematics, 2022 In several research areas, ratings data and response times have been successfully used to unfold the stagewise process through which human raters provide their responses to questionnaires and social surveys.
Niccolò Cao, Antonio Calcagnì
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The Application of Ant Colony Algorithm in Solve the Traveling Salesman Problem with Fuzzy Movement Time among Cities [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2010 Traveling salesman problem (TSP) is one of the most well-known combinational optimization problems which recently has been a suitable base to validate different heuristic and Meta heuristic algorithms.
Jamshid Salehi Sadaghiani
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Data-Informed Fuzzy Measures for Fuzzy Integration of Intervals and Fuzzy Numbers [PDF]
IEEE Transactions on Fuzzy Systems, 2015 The fuzzy integral (FI) with respect to a fuzzy measure (FM) is a powerful means of aggregating information. The most popular FIs are the Choquet and Sugeno, and most research focuses on these two variants. The arena of the FM is much more populated, including numerically derived FMs such as the Sugeno ?-measure and decomposable measure, expert-defined
Timothy C. Havens +2 more
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A fuzzy nonparametric Shewhart chart based on the bootstrap approach
International Journal of Applied Mathematics and Computer Science, 2015 In this paper, we consider a nonparametric Shewhart chart for fuzzy data. We utilize the fuzzy data without transforming them into a real-valued scalar (a representative value).
Wang Dabuxilatu, Hryniewicz Olgierd
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Fuzzy Data Modeling and Parameter Estimation in Two Gamma Populations
IEEE AccessThis study addresses the challenge of estimating parameters for two Gamma populations that share a common scale parameter but differ in their shape parameters, within the context of fuzzy data.
Vijay Kumar Lingutla, Nagamani Nadiminti
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Ratio Mathematica, 2016 In practical applications relating to business and management sciences, there are many variables that, for their own nature, are better described by a pair of ordered values (i.e. financial data).
Fabrizio Maturo
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Fuzzy-rough set models and fuzzy-rough data reduction
Croatian Operational Research Review, 2020 Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduced as a fuzzy generalization of rough sets. This paper reviewed the most important contributions to the rough set theory, fuzzy rough set theory and their
Hassan Mishmast Nehi +1 more
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Fuzzy clustering of fuzzy ecological data
Ecological Informatics, 2007 Abstract Besides the problem of searching for effective methods for data analysis there are some additional problems with handling data of high uncertainty. Uncertainty problems often arise in an analysis of ecological data, e.g. in the cluster analysis of ecological data.
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Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
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Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
FEBS Open Bio, EarlyView.We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
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