Description: Intelligent Strategies for Meta Multiple Criteria Decision Making by Thomas Hanne Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Multiple criteria decision-making research has developed rapidly and has become a main area of research for dealing with complex decision problems which require the consideration of multiple objectives or criteria. Publisher Description Multiple criteria decision-making research has developed rapidly and has become a main area of research for dealing with complex decision problems which require the consideration of multiple objectives or criteria. Since the 1980s, numerous multiple criterion decision methods have been developed which are able to solve such problems. However, the selection of an appropriate method to solve a particular decision problem is todays problem for a decision support researcher and decision-maker. This volume deals centrally with the problem of the numerous MCDM methods that can be applied to a decision problem. The book refers to this as a "meta decision problem", and it is this problem that the book analyzes. The author provides two strategies to help the decision-makers select and design an appropriate approach to a complex decision problem. Either of these strategies can be designed into a decision support system itself. One strategy is to use machine learning to design an MCDM method. This is accomplished by applying intelligent techniques, namely neural networks as a structure for approximating functions and evolutionary algorithms as universal learning methods.The other strategy is based on solving the meta decision problem interactively by selecting or designing a method suitable to the specific problem, for example, the constructing of a method from building blocks. This strategy leads to a concept of MCDM networks. Examples of this approach for a decision support system explain the possibilities of applying the elaborated techniques and their mutual interplay. The techniques outlined in the book can be used by researchers, students, and industry practitioners to better model and select appropriate methods for solving complex, multi-objective decision problems. Details ISBN 0792372514 ISBN-13 9780792372516 Title Intelligent Strategies for Meta Multiple Criteria Decision Making Author Thomas Hanne Format Hardcover Year 2000 Pages 197 Edition 2001st Publisher Springer GE_Item_ID:137560901; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 126.24 USD
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ISBN-13: 9780792372516
Book Title: Intelligent Strategies for Meta Multiple Criteria Decision Making
Number of Pages: Xviii, 197 Pages
Publication Name: Intelligent Strategies for Meta Multiple Criteria Decision Making
Language: English
Publisher: Springer
Publication Year: 2000
Subject: Intelligence (Ai) & Semantics, Decision-Making & Problem Solving, Operations Research
Type: Textbook
Item Weight: 38.1 Oz
Author: Thomas Hanne
Item Length: 9.3 in
Subject Area: Computers, Education, Business & Economics
Series: International Series in Operations Research and Management Science Ser.
Item Width: 6.1 in
Format: Hardcover
