Fuzzy Logic Applications in Wireless Communications
Various areas pertaining to wireless communication systems utilize fuzzy logic. It is very much useful in modeling the problems in which all the inputs are not known or are impossible to obtain. The fuzzy logic can be easily applied to non-linear and time-variant systems and address the complex problems in this domain. Reduction in complexity and robustness can be achieved by the use of fuzzy logic. Human expert knowledge is incorporated into a rule-based framework by the fuzzy logic. ....etc

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Introduction
Many decision-making and problem-solving tasks are too complex to be understood quantitatively, however, people succeed by using knowledge that is imprecise rather than precise. Fuzzy set theory, originally introduced by Lotfi Zadeh in the 1960's, resembles human reasoning in its use of approximate information and uncertainty to generate decisions. It was specifically designed to mathematically represent uncertainty and vagueness and provide formalized tools for dealing with the imprecision intrinsic to many pr ....etc

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I want to use fuzzy logic in my project for image enhancement. ....etc

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00] ....etc

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Respecred Sir,
I am a Ph. D. student working in the area of image enhancement
I need the MATLAB code for image enhancement based on fuzzy logic.
Please get me this code as early as possible.
Thanks
Tripti Goel ....etc

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Matlab code for Pixel level Image fusion using Minimum Method

The minimum selecting method, being yet another trivial image fusion method, is very similar to the Maximum Selection method; except for, here, the selection criteria differs as the pixel with minimum density is picked up. Thus, for every pixel position, the pixel of the fused image will be the pixel of the corresponding position from the input set of images having the least pixel intensity value. Similar to the Maximum Selection method, this method to either completely considers th ....etc

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Fuzzy Logic and Fuzzy Sets


History

Lotfi Zadeh, at the University of California at Berkeley, first presented fuzzy logic in the mid-1960's.

Zadeh developed fuzzy logic as a way of processing data. Instead of requiring a data element to be either a member or non-member of a set, he introduced the idea of partial set membership.

In 1974 Mamdani and Assilian used fuzzy logic to regulate a steam engine.

In 1985 researchers at Bell laboratories developed the first fuzz ....etc

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To get full information or details of image segmentation using fuzzy logic matlab code please have a look on the pages

http://slidesharepokejishnu/image-segmentation-using-wvlt-trnsfrmtn-and-fuzzy-logic-ppt

if you again feel trouble on image segmentation using fuzzy logic matlab code please reply in that page and ask specific fields in image segmentation using fuzzy logic matlab code ....etc

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to get information about the topic fuzzy logic in image processing full report ,ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-fuzzy-logic-and-fuzzy-sets

http://seminarsprojects.net/Thread-fuzzy-logic-in-aircraft-stability

http://seminarsprojects.net/Thread-fuzzy-logic-based-information-fusion-for-image-segmentation

http://seminarsprojects.net/Thread-noise-reduction-by-fuzzy-image-filtering--7175

http://seminarsprojects.net/Thread-neuro-fuzzy-logic

http://seminarsprojects.net/Thread-fuzzy ....etc

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