Hybrid Rough Sets and Applications in Uncertain Decision-Making

1. Auflage 2018
ISBN: 978-1-138-37275-7
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 284 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 404 g

Reihe: Systems Evaluation, Prediction, and Decision-Making

As a powerful approach to data reasoning, rough set theory has proven to be invaluable in knowledge acquisition, decision analysis and forecasting, and knowledge discovery. With the ability to enhance the advantages of other soft technology theories, hybrid rough set theory is quickly emerging as a method of choice for decision making under uncertain conditions.

Keeping the complicated mathematics to a minimum, Hybrid Rough Sets and Applications in Uncertain Decision-Making provides a systematic introduction to the methods and application of the hybridization for rough set theory with other related soft technology theories, including probability, grey systems, fuzzy sets, and artificial neural networks. It also:

- Addresses the variety of uncertainties that can arise in the practical application of knowledge representation systems

- Unveils a novel hybrid model of probability and rough sets

- Introduces grey variable precision rough set models

- Analyzes the advantages and disadvantages of various practical applications

The authors examine the scope of application of the rough set theory and discuss how the combination of variable precision rough sets and dominance relations can produce probabilistic preference rules out of preference attribute decision tables of preference actions. Complete with numerous cases that illustrate the specific application of hybrid methods, the text adopts the latest achievements in the theory, method, and application of rough sets.

Zielgruppe

Academic, Professional, and Professional Practice & Development

Autoren/Hrsg.

Jian, Lirong

Liu, Sifeng

Lin, Yi

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Technische Wissenschaften Technik Allgemein Technik: Allgemeines
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

Introduction. Rough Set Theory. The Hybrid of Rough Set Theory and Probability. The Hybrid of Rough Set Theory and Dominance Relation. The Hybrid of Rough Set Theory and Fuzzy Set Theory. The Hybrid of Rough Set Theory and Grey System Theory. The Hybrid of Grey Variable Precision Rough Set, Fuzzy Set and Neural Network. The Application Analysis of the Hybrid Rough Set Approach.

Über Autor(innen)

Lirong Jian received her PhD in management science and engineering from Southeast University, Nanjing, China, in 2004. She then had two years ofpostdoctoral experience specializing in management science and engineering at Nanjing University of Aeronautics and Astronautics, China. At present, she is serving as a professor at the College of Economics and Management of Nanjing University of Aeronautics and Astronautics; she is also working as a guide for doctoral students in management science and systems engineering.Dr. Jian is principally engaged in forecasting and decision-making methods, soft computing, and project management and system modeling. She has also directed and/or participated in nearly 20 projects at the national, provincial, and ministerial levels, for which she received four provincial awards in scientific research and applications. Over the years, she has published over 40 research papers and 6 books.Sifeng Liu received his bachelor's degree in mathematics from Henan University, Kaifeng, China in 1981, and his MS in economics and his PhD in systems engineering from Huazhong University of Science and Technology, Wuhan, China, in 1986 and 1998, respectively. He has been to Slippery Rock University, Pennsylvania, and to Sydney University, Australia, as a visiting professor. At present, Professor Liu is the director of the Institute for Grey Systems Studies and the dean of the College of Economics and Management of Nanjing University of Aeronautics and Astronautics. He is also a distinguished professor and guide for doctoral students in management science and systems engineering.Dr. Liu's main research activities are in grey systems theory and in regional technical innovation management. He has directed more than 50 projects at the national, provincial, and ministerial levels, has participated in international collaboration projects, and has published over 200 research papers and 16 bo