Rough Sets: Selected Methods and Applications in Management and Engineering

Georg Peters, Pawan Lingras, Dominik Ślęzak, Yiyu Yao (Herausgeber)

Buch | Softcover

214 Seiten

2016 | Softcover reprint of the original 1st ed. 2012
Springer London Ltd (Verlag)
978-1-4471-6916-1 (ISBN)

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Rough Set Theory, introduced by Pawlak in the early 1980s, has become an important part of soft computing within the last 25 years. However, much of the focus has been on the theoretical understanding of Rough Sets, with a survey of Rough Sets and their applications within business and industry much desired. Rough Sets: Selected Methods and Applications in Management and Engineering provides context to Rough Set theory, with each chapter exploring a real-world application of Rough Sets.

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
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