Lesson 30 - Module 11 Reasoning with uncertainty-Fuzzy...

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Module 11 Reasoning with uncertainty-Fuzzy Reasoning Version 1 CSE IIT, Kharagpur
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11.1 Instructional Objective The students should understand the use of fuzzy logic as a method of handling uncertainty The student should learn the definition of fuzzy sets and fuzzy operations like union and intersection Students should understand the use of hedges in linguistic description using fuzzy sets Students should be able to convert linguistic description of a uncertain problem in terms of statements in fuzzy logic Students should understand the fuzzy inferencing mechanism Students should understand the steps of o Fuzzyfication o Fuzzy rule evaluation o Defuzzification Students should understand the design of fuzzy expert systems At the end of this lesson the student should be able to do the following: Represent a given problem using fuzzy logic Design a fuzzy expert system for a given problem. Version 1 CSE IIT, Kharagpur
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Lesson 30 Other Paradigms of Uncertain Reasoning Version 1 CSE IIT, Kharagpur
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11.2 Reasoning with Uncertainty Fuzzy systems is an alternative to traditional notions of set membership and logic that has its origins in ancient Greek philosophy, and applications at the leading edge of Artificial Intelligence. 11.2.1 THE PROBLEM: REAL-WORLD VAGUENESS Natural language abounds with vague and imprecise concepts, such as “Sally is tall," or "It is very hot today." Such statements are difficult to translate into more precise language
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This note was uploaded on 09/20/2010 for the course MCA DEPART 501 taught by Professor Hemant during the Fall '10 term at Institute of Computer Technology College.

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Lesson 30 - Module 11 Reasoning with uncertainty-Fuzzy...

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