Thriving Rough Sets

10th Anniversary - Honoring Professor Zdzisław Pawlak's Life and Legacy & 35 Years of Rough Sets

AvGuoyin Wang,Andrzej Skowron

Häftad, Engelska, 2018

Del i serien Studies in Computational Intelligence

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Beskrivning

This special book is dedicated to the memory of Professor Zdzislaw Pawlak, the father of rough set theory, in order to commemorate both the 10th anniversary of his passing and 35 years of rough set theory.

Produktinformation

Utgivningsdatum:2018-07-25
Mått:155 x 235 x 25 mm
Vikt:680 g
Format:Häftad
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:439
Förlag:Springer International Publishing AG
ISBN:9783319855332

Utforska kategorier

Artificiell intelligens inom Data och IT

Innehållsförteckning

Part 1: Historical Review of Professor Zdzisław Pawłak and Rough Set.- The Born and Growing of Chinese Rough Set Community with Help of Professor Zdzisław Pawłak.- Zdzisław Pawłak as I Saw Him and Remember Him Now.- Recent Development of Rough Computing: A Scientometrics View.- Part 2: Review of Rough Set Research.- Rough Sets, Rough Mereology and Uncertainty.- Rough Sets in Machine Learning: A Review.- Application of Tolerance Rough Sets in Structured and Unstructured Text Categorization: A Survey.- Medical Diagnosis: Rough Set View.- Rough Set Analysis of Imprecise Classes.- Pawłak’s Many Valued Information System, Non-deterministic Information System, and a Proposal of New Topics on Information Incompleteness Toward the Actual Application.- Part 3: Rough Set Theory.- From Information Systems to Interactive Information Systems.- Back to the Beginnings: Pawłak's Definitions of the Terms Information System and Rough Set.- Knowledge and Consequence in AC Semantics for General Rough Sets.- Measuring Soft Roughness of Soft Rough Sets Induced by Covering.- Rough search of vague knowledge.- Vagueness and Uncertainty: An F-Rough Set Perspective.- Directions of Use of the Pawłak's Approach to Conflict Analysis.- Lattice Structure of Variable Precision Rough Sets.- Part 4: Rough Set Based Data Mining.- Mining for Actionable Knowledge in Tinnitus Datasets.- Rough-Granular Computing for Relational Data.- The Boosting and Bootstrap Ensembles for the Pair Classifier Based on the Dual Indiscernibility Matrix.