Del i serien Advanced Information and Knowledge Processing

Rough Sets: Selected Methods and Applications in Management and Engineering

Häftad, Engelska, 2016

AvGeorg Peters,Pawan Lingras,Dominik Ślęzak,Yiyu Yao

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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.

Produktinformation

Utgivningsdatum2016-08-23
Mått155 x 235 x 12 mm
Vikt388 g
FormatHäftad
SpråkEngelska
SerieAdvanced Information and Knowledge Processing
Antal sidor214
FörlagSpringer London Ltd
ISBN9781447169161

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Artificiell intelligens inom Data och IT

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.