Book Details
- Subtitle: Links, Theory and Applications
- Authors: Michael Doumpos, Evangelos Grigoroudis
- Editors: Evangelos Grigoroudis, Michael Doumpos
- Publisher: John Wiley & Sons, Incorporated
- Published: 2013
- Originally published: 2013
- ISBN: 9781118522493, 1118522494
- Page count: 368
- Format: ebook
- Language: English
- Subject: BUSINESS & ECONOMICS / Statistics
Overview
Multicriteria Decision Aid and Artificial Intelligence examines recent advances in models and systems for intelligent decision making. It focuses on organizations facing complex decisions and large amounts of data, showing how MCDA and AI can support decision making in real-world problems. The book describes the integration of these fields for structuring complex decision problems in static and distributed environments. Its scope includes handling massive data sets, modelling ill-structured information, constructing advanced decision models, and developing efficient computational optimization algorithms. It also covers intelligent decision support technologies, data mining models, evidential reasoning, evolutionary multiobjective optimization, fuzzy modelling, and applications in management and engineering.
Key Themes
The source highlights hybrid models and algorithms for preference modelling and optimization problems, intelligent technologies and architectures for decision making, preference modelling and learning, and the methodologies and applications that support effective decision systems.
How This Book Relates to Your Decision-Making Problem
When your decision-making problem involves several criteria, large or imperfect data sets, or information that is difficult to structure, this book provides a useful methodological frame. Its focus on MCDA, AI, preference modelling, learning, data mining, fuzzy modelling, and optimization connects directly to the tasks of defining alternatives, representing criteria, modelling preferences, and selecting an appropriate decision-support approach. The book is especially relevant when a problem requires a hybrid system rather than a single technique, because the source emphasizes links between MCDA models, intelligent technologies, computational algorithms, and applications in management and engineering.
Applications and Reference Value
The book is presented as a reference for researchers and practitioners interested in integrating MCDA and AI to develop effective hybrid decision support methodologies and systems. It is also identified as beneficial for academics and postgraduate students in operational research, artificial intelligence, management science, and decision analysis.
Source
Read the original Google Books edition for complete source information. Google Books source
Continue Reading
Explore AHP for structuring criteria, preferences, and alternatives when building a clear multicriteria decision model.