Rough Sets: Selected Methods and Applications in Management and Engineering (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
214
Utgivningsdatum
2016-08-23
Upplaga
Softcover reprint of the original 1st ed. 2012
Förlag
Springer London Ltd
Illustratör/Fotograf
color X 36 Tables 214 p
Illustrationer
36 Tables, color; X, 214 p.
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9781447169161
Rough Sets: Selected Methods and Applications in Management and Engineering (häftad)

Rough Sets: Selected Methods and Applications in Management and Engineering

Häftad Engelska, 2016-08-23
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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.
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  1. Rough Sets: Selected Methods and Applications in Management and Engineering
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  3. Transactions on Rough Sets XIX

De som köpt den här boken har ofta också köpt Transactions on Rough Sets XIX av James F Peters, Andrzej Skowron, Dominik Slezak, Hung Son Nguyen, Jan G Bazan (häftad).

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Innehållsförteckning

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.