Fuzzy Logic in Artificial Intelligence: IJCAI '95 Workshop, Montreal, Canada, August 19-21, 1995, Selected Papers / Edition 1

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Overview

This thoroughly refereed and well organized collection of papers is largely based on papers originally presented at the IJCAI'95 Workshop on Fuzzy Logic in AI, held in Montreal, Canada, in August 1995. Additionally, a few papers were invited in order to round off the scope and competent coverage of relevant topics.
The 20 revised full papers included are organized in sections on hybrid and novel architectures, machine learning and data mining, image processing and computer vision, and theoretical developments. Focusing on the most pressing problems of AI, the volume supports the view that fuzzy systems combined with traditional AI leads the move towards the next generation of intelligent systems.
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Product Details

Table of Contents

Constructing Prioritized Fuzzy Models 1
Integrating Activities with Neurofuzzy Distributed Systems 14
The Use of Fuzzy Representation in a CBR System for Mesh Design 29
FLIP++ A Fuzzy Logic Inference Processor Library 44
Fuzzy Reasoning and Applications for Intelligent Scheduling of Robots 57
Fuzzy Logic as Interfacing Technique in Hybrid AI-Systems 69
Extracting Knowledge from Data Using an Intelligent Fuzzy Data Browser 81
Fuzzy Systems with Learning Capability 101
Automatic Knowledge Base Tuning 116
A Fuzzy-Based Approach to the Analysis of Financial Investments 128
Searching for the Organizational Memory Using Fuzzy Modeling 144
Fuzzy Geodesic Distance in Images 153
Using Fuzzy Information in Knowledge Guided Segmentation of Brain Tumors 167
FEDGE - Fuzzy Edge Detection by Fuzzy Categorization and Classification of Edges 182
Towards Hybrid Spatial Reasoning 197
Mobile Robot Localization Using Fuzzy Maps 207
Structure Cognition from Images 225
Towards Possibilistic Decision Theory 240
Measurement-Theoretic Frameworks for Fuzzy Set Theory 252
A Resemblance Approach to Analogical Reasoning Functions 266
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