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Additional resources for Advances in Computers, Vol. 13
FUZZY LOGIC TOOLS Many everyday problems are solved using good old common sense. ” We are accustomed to hearing a problem described using vague terms like “really hot” and “a little,” and usually have little difﬁculty in understanding the statement. However, how can we represent and reason with vague terms in a computer? The answer rests in fuzzy logic. The form of fuzzy logic we are familiar with today ﬁrst began to take shape during the 1920s through the work of Lukasiewicz (the inventor of reverse Polish notation) .
3. The frames in the ﬁgure are organized in a hierarchical structure, moving from abstract issues at higher levels toward more speciﬁc ones at lower levels. This type of structure forms a “kind of” relationship between connected frames, which is typical in most applications. The frames also can be connected in other ways, such as a graph or network. The frame at the top level in the ﬁgure represents the abstract concept of humans. This frame is often called a class, because it provides a general description of objects common to some group or class.
IV. V. VI. VII. VIII. INTRODUCTION 23 RULE-BASED TOOLS 24 FRAME-BASED TOOLS 28 FUZZY LOGIC TOOLS 31 INDUCTION TOOLS 37 CASE-BASED REASONING TOOLS NEURAL NETWORK TOOLS 44 SUMMARY 49 REFERENCES 50 41 I. INTRODUCTION An experienced expert system designer is a craftsman. We respectfully label this individual a knowledge engineer. A knowledge engineer knows the tools of the trade and, maybe more importantly, knows when to use a particular tool given the nature of the job. Consider skilled carpenters.
Advances in Computers, Vol. 13