Читать книгу Introduction to Fuzzy Logic - James K. Peckol - Страница 44

1 I.1 Give two examples of systems that would benefit from fuzzy logic over crisp logic.

2 I.2 What are some of the more difficult problems that a fuzzy system might confront?

3 I.3 What criteria might you use to set values for a threshold in a threshold logic circuit?

4 I.4 Would the same criteria apply for setting a threshold in a perceptron‐based design?

5 I.5 What would be the advantage of a system that could learn?

6 I.6 What would some of your first steps be in starting a fuzzy logic design, a threshold logic design, or a perceptron logic design?

7 I.7 What do you think should be the criteria for specifying tests for a fuzzy logic design, a threshold logic design, or a perceptron logic design?

8 I.8 How would you propose debugging systems developed using such technologies?

9 I.9 What are the major categories of signals that the described systems would interface with in the external world?

10 I.10 What are some of the more difficult problems that designers of the described systems might face? Consider examples such as a very popular consumer product, an intelligent robot system, a mission to Mars, or an automatic loading system on a commercial jet airliner.

11 I.11 What do you think might be some of the more important performance considerations that one should take into account when designing or using any of the systems described?