Springer Three Approaches to Data Analysis: Test Theory, Rough Sets and Logical Analysis of Data: 41 (Intelligent Systems Reference Library, 41)

This book covers Test Theory, Rough Sets and Logical Analysis of Data. The authors intend for this comparative appraisal to lead to new theoretical results and real-life applications based on the combination of the three approaches. Review From the reviews: “The aim of this book is to present three approaches to data analysis: test theory (TT), rough sets (RS) and logical analysis of data (LAD). … The book can be used successfully by researchers interested in data analysis.” (Ion Iancu, Zentralblatt MATH, Vol. 1254, 2013) From the Back Cover In this book, the following three approaches to data analysis are presented:  - Test Theory, founded by Sergei V. Yablonskii (1924-1998); the first publications appeared in 1955 and 1958, -           Rough Sets, founded by Zdzisław I. Pawlak (1926-2006); the first publications appeared in 1981 and 1982, -           Logical Analysis of Data, founded by Peter L. Hammer (1936-2006); the first publications appeared in 1986 and 1988. These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the exchange of knowledge can stimulate further development of each of them. This can lead to new theoretical results and real-life applications and, in particular, new results based on combination of these three data analysis approaches can be expected.