Modelling and Reasoning with Vague Concepts / Edition 1

Hardcover (Print)
Buy New
Buy New from BN.com
$160.55
Used and New from Other Sellers
Used and New from Other Sellers
from $91.38
Usually ships in 1-2 business days
(Save 45%)
Other sellers (Hardcover)
  • All (10) from $91.38   
  • New (6) from $108.33   
  • Used (4) from $91.38   

Overview

This volume introduces a formal representation framework for modelling and reasoning, that allows us to quantify the uncertainty inherent in the use of vague descriptions to convey information between intelligent agents. This can then be applied across a range of applications areas in automated reasoning and learning. The utility of the framework is demonstrated by applying it to problems in data analysis where the aim is to infer effective and informative models expressed as logical rules and relations involving vague concept descriptions. The author also introduces a number of learning algorithms within the framework that can be used for both classification and prediction (regression) problems. It is shown how models of this kind can be fused with qualitative background knowledge such as that provided by domain experts. The proposed algorithms will be compared with existing learning methods on a range of benchmark databases such as those from the UCI repository.

Read More Show Less

Product Details

  • ISBN-13: 9780387290560
  • Publisher: Springer US
  • Publication date: 1/11/2006
  • Series: Studies in Computational Intelligence Series , #12
  • Edition description: 2006
  • Edition number: 1
  • Pages: 246
  • Product dimensions: 6.40 (w) x 9.30 (h) x 0.80 (d)

Table of Contents

List of Figures
Preface
Acknowledgments
Foreword

1: Introduction

2: Vague Concepts And Fuzzy Sets
2.1 Fuzzy Set Theory
2.2 Functionality and Truth-Functionality
2.3 Operational Semantics for Membership Functions

3: Label Semantics
3.1 Introduction and Motivation
3.2 Appropriateness Measures and Mass Assignments on Labels
3.3 Label Expressions and lambda-Sets
3.4 A Voting Model for Label Semantics
3.5 Properties of Appropriateness Measures
3.6 Functional Label Semantics
3.7 Relating Appropriateness Measures to Dempster-Shafer Theory
3.8 Mass Selection Functions based on t-norms
3.9 Alternative Mass Selection Functions
3.10 An Axiomatic Approach to Appropriateness Measures
3.11 Label Semantics as a Model of Assertions
3.12 Relating Label Semantics to Existing Theories of Vagueness

4: Multi-Dimensional And Multi-Instance Label Semantics
4.1 Descriptions Based on Many Attributes
4.2 Multi-dimensional Label Expressions and A-Sets
4.3 Properties of Multi-dimensional Appropriateness Measures
4.4 Describing Multiple Objects
5: Information From Vague Concepts
5.1 Possibility Theory
5.2 The Probability of Fuzzy Sets
5.3 Bayesian Conditioning in Label Semantics
5.4 Possibilistic Conditioning in Label Semantics
5.5 Matching Concepts
5.6 Conditioning From Mass Assignments in Label Semantics

6: Learning Linguistic Models From Data
6.1 Defining Labels for Data Modelling
6.2 Bayesian Classification using Mass Relations
6.3 Prediction using Mass Relations
6.4 Qualitative Information from Mass Relations
6.5 Learning Linguistic Decision Trees
6.6 Prediction using Decision Trees
6.7 Query evaluation and Inference from Linguistic Decision Trees

7: Fusing Knowledge And Data
7.1 From Label Expressions to Informative Priors
7.2 Combining Label Expressions with Data

8: Non-Additive Appropriateness Measures
8.1 Properties of Generalised Appropriateness Measures
8.2 Possibilstic Appropriateness Measures
8.3 An Axiomatic Approach to Generalised Appropriateness Measures
8.4 The Law of Excluded Middle

References
Index

Read More Show Less

Customer Reviews

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

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com 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 & Noble.com 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 & Noble.com 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 BN.com 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

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com 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 BN.com. 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)