Modeling Decisions for Artificial Intelligence: First International Conference, MDAI 2004, Barcelona, Spain, August 2-4, 2004, Proceedings / Edition 1

Paperback (Print)
Buy New
Buy New from
Used and New from Other Sellers
Used and New from Other Sellers
from $21.78
Usually ships in 1-2 business days
(Save 80%)
Other sellers (Paperback)
  • All (6) from $21.78   
  • New (3) from $80.98   
  • Used (3) from $21.78   


This book constitutes the refereed proceedings of the First International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2004, held in Barcelona, Spain in August 2004.

The 26 revised full papers presented together with 4 invited papers were carefully reviewed and selected from 53 submissions. The papers are devoted to topics like models for information fusion, aggregation operators, model selection, fuzzy integrals, fuzzy sets, fuzzy multisets, neural learning, rule-based classification systems, fuzzy association rules, algorithmic learning, diagnosis, text categorization, unsupervised aggregation, the Choquet integral, group decision making, preference relations, vague knowledge processing, etc.

Read More Show Less

Product Details

Table of Contents

Invited Talks.- to RoboCup Research in Japan.- Fuzzy Integrals.- Fuzzy Qualitative Models to Evaluate the Quality on the Web.- Multisets and Fuzzy Multisets as aFramework of Information Systems.- Regular Papers.- Sk Price Forecasting: Statistical, Classical and Fuzzy Neural Network Approach.- Wavelet Time Shift Properties Integration with Support Vector Machines.- A Study on Weighting Training Patterns for Fuzzy Rule-Based Classification Systems.- A Machine Learning Approach for Modeling Algorithm Performance Predictors.- A Novel Network Traffic Analysis Method Based on Fuzzy Association Rules.- Quantum Computing Based Machine Learning Method and Its Application in Radar Emitter Signal Recognition.- Modeling the Distributed Control of the Lower Urinary Tract Using a Multiagent System.- Mining Diagnostic Taxonomy Using Interval-Based Similarity from Clinical Databases.- Combining Multiple Classifiers Using Dempster’s Rule of Combination for Text Categorization.- An Empirical Analysis of Assessment Errors for Weights and Andness in LSP Criteria.- Reliability of LSP Criteria.- Unsupervised Aggregation by the Choquet Integral Based on Entropy Functionals: Application to the Evaluation of Students.- Preservation of Distinguished Fuzzy Measure Classes by Distortion.- Decision Modelling Using the Choquet Integral.- Measurements of Consensus in Multi-granular Linguistic Group Decision-Making.- On Detecting Interactions in Hayashi’s Second Method of Quantification.- A Generalization of Symbolic Data Analysis Allowing the Processing of Fuzzy Granules.- A Learning Procedure to Estimate Missing Values in Fuzzy Preference Relations Based on Additive Consistency.- Decision Making in aDynamic System Based on Aggregated Fuzzy Preferences.- Object Positioning Based on Partial Preferences.- A Comparative Study of Clustering Methods for Long Time-Series Medical Databases.- Fuzzy Multiset Model and Methods of Nonlinear Document Clustering for Information Retrieval.- A Feature Weighting Approach to Building Classification Models by Interactive Clustering.- A Framework for Representation and Manipulation of Vague Knowledge.- Comparing Transitive Closure with a New T-transitivization Method.- On the Interpretation of Some Fuzzy Integrals.

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star


4 Star


3 Star


2 Star


1 Star


Your Rating:

Your Name: Create a Pen Name or

Barnes & Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation


  • - By submitting a review, you grant to Barnes & and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Terms of Use.
  • - Barnes & reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)