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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Thriving Rough Sets: 10th Anniversary - Honoring Professor Zdzislaw Pawlak's Life and Legacy & 35 Years of Rough Sets

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

Paperback

Series: Studies in Computational Intelligence, Book 708

Technology & EngineeringGeneral Computers

ISBN10: 3319855336
ISBN13: 9783319855332
Publisher: Springer Nature
Published: Jul 25 2018
Pages: 439
Weight: 1.38
Height: 0.91 Width: 6.14 Depth: 9.21
Language: English
Part 1: Historical Review of Professor Zdzislaw Pawlak and Rough Set.- The Born and Growing of Chinese Rough Set Community with Help of Professor Zdzislaw Pawlak.- Zdzislaw Pawlak 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.- Pawlak'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: Pawlak'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 Pawlak'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.

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