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Simulation
Now we come to the point were we need to select simulation software to do all the crisp simulations staring in Chap. 7. The author is not an expert...
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Fuzzy Estimation
sThe first thing to do is explain how we will get fuzzy numbers, and fuzzy probabilities, from a set of confidence intervals which will be...
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Fingerprint Recognition with Modular Neural Networks and Fuzzy Measures
We describe in this chapter a new approach for fingerprint recognition using modular neural networks with a fuzzy logic method for response...
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Simulation Optimization
In this chapter we discuss how we plan to solve the optimization problems attached to the simulation as expressed in (5-4)-(5-5) in Chap. 5, or...
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Voice Recognition with Neural Networks, Fuzzy Logic and Genetic Algorithms
We describe in this chapter the use of neural networks, fuzzy logic and genetic algorithms for voice recognition. In particular, we consider the case...
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Optimization of Image Compression Method Based on Fuzzy Relational Equations by Overlap Level of Fuzzy Sets
A design method of coders on YUV color space is proposed based on an overlap level of fuzzy sets, in order to optimize the image...
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Multi-layer Image Transmission with Inverse Pyramidal Decomposition
This paper presents a new image compression method based on the Inverse Difference Pyramid (IDP) decomposition, and one specific application of this...
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A Fuzzy Rule-Based Trading Agent: Analysis and Knowledge Extraction
In this paper, we show how a fuzzy rule-based system is developed for trading in a futures market. By our fuzzy rule-based system, an agent...
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Non-Iterative ICA for Detecting Motion in Image Sequences
The ICA (Independent Component Analysis) technique can be used to detect difference in a sequence of images. However, most implementations of this...
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Fuzzy Congestion Control In Packet Networks
In this paper an adaptive fuzzy congestion control solution for active queue management in packet switched networks which use TCP to solve end-to-end...
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Mining Technical Patterns in The U. S. Stock Market through Soft Computing
Technical analysis has been a part of financial practice for many decades. One of the most challenging areas in technical analysis is the automatic...
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Multiple Feature Relevance Feedback in Content- Based Image Retrieval using Probabilistic Inference Networks
The BIR content based image retrieval system uses a Bayesian belief network architecture to match query by example images to images in a database....
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Measuring User Satisfaction in Web Searching
Search engines are among the most popular as well as useful services on the web. But the problem we face is due to the large number of search engines...
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Distances Between Intuitionistic Fuzzy Sets and their Applications in Reasoning
In this article we propose the use of intuitionistic fuzzy sets (Atanassov [2]) as a tool for reasoning under imperfect facts and imprecise...
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On The Generalization of Fuzzy Rough Approximation Based on Asymmetric Relation
An asymmetric relation, called a weak similarity relation, is introduced as a more realistic relation in representing the relationship between two...
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A Fuzzy Method for Learning Simple Boolean Formulas from Examples
We discuss a method for inferring Boolean functions from examples. The method is inherently fuzzy in two respects: i) we work with a pair of formulas...
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Connectionist Fuzzy Relational Systems
There have been an enormous number of fuzzy systems developed so far. For excellent surveys the reader is referred to [1][3][5][7][9][10][18][19]....
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7 Concluding Remarks
As indicated in the Chapter 1, the objectives of this monograph were to present a unified framework for combining compliant motion control,...
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1 Introduction
The problem of position control of robot manipulators was addressed in the 1970’s to develop control schemes capable of controlling a manipulator’s...
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Fuzzy Logic Control in Hybrid Power Systems
In this chapter the dynamic analysis of a hybrid power system, employing diesel and locally available wind and solar energies, is discussed and...