Towards Advanced Data Analysis by Combining Soft Computing and Statistics

Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis.Soft computing focuses on obtaining working solutions quickly, accepting approximations and unconventional approaches. Its strength lies in its flexibility to...

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Opis bibliograficzny
1. autor: Borgelt, Christian, 19..-
Kolejni autorzy: Gil, María Ángeles (Redaktor), Sousa, Joao M. C. (Redaktor), Verleysen, Michel, 19..- (Redaktor)
Format: Livre numérique
Język:Anglais
Wydane: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Wydanie:1st ed. 2013.
Seria:Studies in Fuzziness and Soft Computing 285
Dostęp online:Accès sur la plateforme de l'éditeur
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Accès Université d'Orléans
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Komentarz: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Towards Advanced Data Analysis by Combining Soft Computing and Statistics, Texte imprimé, 9783642302770
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100 1 |a Borgelt, Christian,  |d 19..- 
245 1 0 |a Towards Advanced Data Analysis by Combining Soft Computing and Statistics   |c edited by Christian Borgelt, María Ángeles Gil, João M.C. Sousa, Michel Verleysen. 
250 |a 1st ed. 2013. 
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490 0 |a Studies in Fuzziness and Soft Computing  |v 285  |x 1860-0808 
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505 1 |a From the Contents: Arithmetic and Distance-Based Approach to the Statistical Analysis of Imprecisely Valued Data Linear Regression Analysis for Interval-valued Data Based on Set Arithmetic: A Bootstrap Confidence Intervals for the Parameters of a Linear Regression Model with Fuzzy Random Variables On the Estimation of the Regression Model M for Interval Data Hybrid Least-Squares Regression Modelling Using Confidence Testing the Variability of Interval Data: An Application to Tidal Fluctuation.-Comparing the Medians of a Random Interval Defined by Means of Two Different L1 Metrics.-Comparing the Representativeness of the 1-norm Median for Likert and Free-response Fuzzy Scales.-Fuzzy Probability Distributions in Reliability Analysis, Fuzzy HPD-regions, and Fuzzy Predictive Distributions 
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520 |a Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis.Soft computing focuses on obtaining working solutions quickly, accepting approximations and unconventional approaches. Its strength lies in its flexibility to create models that suit the needs arising in applications. In addition, it emphasizes the need for intuitive and interpretable models, which are tolerant to imprecision and uncertainty.Statistics is more rigorous and focuses on establishing objective conclusions based on experimental data by analyzing the possible situations and their (relative) likelihood. It emphasizes the need for mathematical methods and tools to assess solutions and guarantee performance.Combining the two fields enhances the robustness and generalizability of data analysis methods, while preserving the flexibility to solve real-world problems efficiently and intuitively 
700 1 |a Gil, María Ángeles.  |4 edt 
700 1 |a Sousa, Joao M. C.  |4 edt 
700 1 |a Verleysen, Michel,  |d 19..-  |4 edt 
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