Multicriteria Decision Aid and Artificial Intelligence: Links, Theory and Applications (Hardcover)

Presents recent advances in both models and systems for intelligent decision making.

Organisations often face complex decisions requiring the assessment of large amounts of data. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have been applied with considerable success to support decision making in a wide range of complex real-world problems.

The integration of MCDA and AI provides new capabilities relating to the structuring of complex decision problems in static and distributed environments. These include the handling of massive data sets, the modelling of ill-structured information, the construction of advanced decision models, and the development of efficient computational optimization algorithms for problem solving. This book covers a rich set of topics, including intelligent decision support technologies, data mining models for decision making, evidential reasoning, evolutionary multiobjective optimization, fuzzy modelling, as well as applications in management and engineering.

Multicriteria Decision Aid and Artificial Intelligence:

• Covers all of the recent advances in intelligent decision making.
• Includes a presentation of hybrid models and algorithms for preference modelling and optimisation problems.
• Provides illustrations of new intelligent technologies and architectures for decision making in static and distributed environments.
• Explores the general topics on preference modelling and learning, along with the coverage of the main techniques and methodologies and applications.
• Is written by experts in the field.

This book provides an excellent reference tool for the increasing number of researchers and practitioners interested in the integration of MCDA and AI for the development of effective hybrid decision support methodologies and systems. Academics and post-graduate students in the fields of operational research, artificial intelligence and management science or decision analysis will also find this book beneficial.

本書介紹了智能決策模型和系統的最新進展。組織通常面臨複雜的決策，需要評估大量的數據。近年來，多準則決策輔助（MCDA）和人工智能（AI）技術已成功應用於支持各種複雜的現實世界問題的決策。

MCDA和AI的整合提供了在靜態和分散環境中結構化複雜決策問題的新能力。這些能力包括處理大量數據集，建模不完全結構化信息，構建先進的決策模型，以及開發高效的計算優化算法來解決問題。本書涵蓋了豐富的主題，包括智能決策支持技術，用於決策的數據挖掘模型，證據推理，進化多目標優化，模糊建模，以及在管理和工程領域的應用。

《多準則決策輔助和人工智能》:
- 包括智能決策制定的最新進展。
- 提供了混合模型和算法的介紹，用於偏好建模和優化問題。
- 展示了靜態和分散環境中決策制定的新智能技術和架構。
- 探討了偏好建模和學習的一般主題，以及主要技術和方法論和應用的涵蓋範圍。
- 由該領域的專家撰寫。

本書為越來越多對MCDA和AI整合感興趣的研究人員和從業人員提供了一個優秀的參考工具，用於開發有效的混合決策支持方法和系統。運籌學、人工智能和管理科學或決策分析領域的學者和研究生也會發現本書有益。