Validating fuzzy logic values matt dallas and jaimie alexander dating 2016

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The fuzzy logic system and application are discussed in later chapters.

This page was last updated on 03/30/2004 This chapter is intended for the reader who is more deeply interested in automated logic.

There are lots of examples provided with each chapter.

The module provides exercises and projects for the increased understanding of concepts.

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In this chapter classical logic and fuzzy logic are discussed and the distinction between them analyzed.

These applications are interactive, so as to maximize understanding.

This fuzzy logic module can be integrated into any undergraduate engineering course.

Fuzzy logic is the superset of classical logic with the introduction of “degree of membership.” The introduction of degree of membership allows the input to interpolate between the crisp set.

The operators in both logic are similar except that their interpretation differs. Unlike classical set theory that classifies the elements of the set into crisp set, fuzzy set has an ability to classify elements into a continuous set using the concept of degree of membership.

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