Der Artikel ist weiterhin als ^^OTHERCONDITION^^ verfügbar.
Autor: Christian Borgelt
ISBN-13: 9783642302770
Einband: Buch
Seiten: 378
Gewicht: 710 g
Format: 235x155x mm
Sprache: Englisch

Towards Advanced Data Analysis by Combining Soft Computing and Statistics

Vol.285, Studies in Fuzziness and Soft Computing
This book blends the adaptability and speed of soft computing with the rigor and precision of statistics to enhance the robustness and generalizability of data analysis, while preserving the flexibility to solve real-world problems intuitively and efficiently.
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.
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.
Autor: Christian Borgelt
ISBN-13:: 9783642302770
ISBN: 3642302777
Verlag: Springer, Berlin
Gewicht: 710g
Seiten: 378
Sprache: Englisch
Sonstiges: Buch, 235x155x mm, 73 SW-Abb.,