Computational Intelligence for Decision Support (Crc Press International Series on Computational Intelligence.) (Hardcover)

by Zhengxin Chen (Author) "In this chapter we provide a brief overview on the notion of decision support, and the role of computational intelligence in decision support..." (more)
Key Phrases: deductive retrieval systems, structured knowledge representation schemes, intensional answers, New York, Intelligent Systems, International Conference (more...)

Editorial Reviews

Product Description
Intelligent decision support relies on techniques from a variety of disciplines, including artificial intelligence and database management systems. Most of the existing literature neglects the relationship between these disciplines. By integrating AI and DBMS, Computational Intelligence for Decision Support produces what other texts don't: an explanation of how to use AI and DBMS together to achieve high-level decision making.Threading relevant disciplines from both science and industry, the author approaches computational intelligence as the science developed for decision support. The use of computational intelligence for reasoning and DBMS for retrieval brings about a more active role for computational intelligence in decision support, and merges computational intelligence and DBMS. The introductory chapter on technical aspects makes the material accessible, with or without a decision support background. The examples illustrate the large number of applications and an annotated bibliography allows you to easily delve into subjects of greater interest.The integrated perspective creates a book that is, all at once, technical, comprehensible, and usable. Now, more than ever, it is important for science and business workers to creatively combine their knowledge to generate effective, fruitful decision support. Computational Intelligence for Decision Support makes this task manageable.

Product Details

• Hardcover: 400 pages
• Publisher: CRC; 1 edition (November 24, 1999)
• Language: English
• ISBN-10: 0849317991
• ISBN-13: 978-0849317996
• Product Dimensions: 9.5 x 6 x 1.1 inches
• Shipping Weight: 1.5 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)
• Amazon.com Sales Rank: #2,049,790 in Books (See Bestsellers in Books)

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Most Helpful Customer Reviews

6 of 6 people found the following review helpful:

5.0 out of 5 stars A good book, May 30, 2000

By	xuecheng (USA) - See all my reviews

As claimed by the author of Computational Intelligence for Decision Support, the objective of this book was to provide an integrated approach for decision making. This is not an easy task, and the author did a commendable job. With less than 400 pages, the book contains rich contents, ranging from data management to knowledge management, all presented in a concise manner. More importantly, the author has put emphasis on the thinking process in problem solving. Numerous small examples can be found throughout the book. The book not only presents "mainstream" AI, but "sidetrack" AI as well. Many interesting topics, including discussion related to computational support for creativity, cannot be found in any existing AI books with the similar scope. By integrating problem solving paradigms dealing with data as well as knowledge, readers are given a unique opportunity to explore both disciplines in a single volume. In addition, this book also serves as a useful reference book for recent development several related areas, such as data warehousing and data mining, as well as information retrieval on semi-structured data (as is found in today's Internet).

Some arguments in the book are from the author's personal perspective, and may or may not be acceptable to everybody. Nevertheless, after examination of this book, my recommendation to everybody is: if you are interested in a holistic exposure of problem solving using information technology, waste no time to get a copy of this book and read it!