Rough Sets: Selected Methods and Applications in Management and Engineering
Springer London Ltd (Verlag)
978-1-4471-6916-1 (ISBN)
Rough Sets is relevant to managers striving to improve their businesses, industry researchers looking to improve the efficiency of their solutions, and university researchers wanting to apply Rough Sets to real-world problems.
Preface.- Contributors.- Part I: Foundations of Rough Sets.- An Introduction to Rough Sets.- Part II: Methods and Applications in Data Analysis.- Applying Rough Set Concepts to Clustering.- Rough Clustering Approaches for Dynamic Environments.- Feature Selection, Classification and Rule Generation using Rough Sets.- Part III: Methods and Applications in Decision Support.- Three-way Decisions using Rough Sets.- Rough Set Based Decision Support – Models East to Interpret.- Part IV: Methods and Applications in Management.- Financial Series Forecasting using Dual Rough Support Vector Regression.- Grounding Information Technology Project Critical Success Factors within the Organization.- Workflow Management supported by Rough Set Concepts.- Part V: Methods and Applications in Engineering.- Rough Natural Hazards Monitoring.- Nearness of Associated Rough Sets.- Contributor's Biography.- Index.
Erscheinungsdatum | 18.08.2022 |
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Reihe/Serie | Advanced Information and Knowledge Processing |
Zusatzinfo | X, 214 p. |
Verlagsort | England |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Office Programme ► Outlook |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Sozialwissenschaften ► Politik / Verwaltung ► Staat / Verwaltung | |
Schlagworte | Artificial Intelligence • Data Mining • Rough Sets • Rough Set Theory |
ISBN-10 | 1-4471-6916-6 / 1447169166 |
ISBN-13 | 978-1-4471-6916-1 / 9781447169161 |
Zustand | Neuware |
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