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Contents
Abstract
ACKNOWLEDGEMENTS
Introduction
Chapter 1
PAGE 1PAGE 2PAGE 3PAGE 4|
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| INTRODUCTION |
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| The concept of information is intimately connected with the concept of uncertainty. The most fundamental aspect of this connection is that uncertainty involved in any problem-solving situation is a result of some information deficiency. Information (pertaining to the model within which the situation is conceptualized) may be incomplete, imprecise, fragmentary, not fully reliable, vague, contradictory, or deficient in some other way. In general, these various information deficiencies may result in different types of uncertainties. This term paper will describe the concept of uncertainty in term of fuzzy set. Chapter 1 will be an introduction to uncertainty and related concepts. It will give a brief about the ignorance, which is the big title to the uncertainty concept. Then I will formalize the uncertainty and give general idea about each formalization. Chapter 2 will be the start point of defining the concept of fuzziness. This chapter will contain most well known and used definitions about fuzziness and fuzzy set theory. Chapter 3 which will show some mean application of fuzzy set theory and will show the importance of the fuzzy term in our real life. Finally, I will give my own opinion about this course and show my own experience that I got from this course, which change my look to the whole life. An appendix is also given at the end of the term paper that contains some programs that I programmed in C++ for the neural networks and fuzzy set. |
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