2 pointsWhat is a characteristic of a fuzzy rule base in a fuzzy logic system? a. It only contains linguistic terms. b. It is not involved in decision-making. c. Rules are expressed in a binary format. d. It defines relationships between input and output variables.

THE STRATEGY USED TO SEARCH THROUGH THE RULE BASE IN AN EXPERT SYSTEM DEFINES:Question 10Answera.A GENETIC ALGORITHMb.AN INFERENCE ENGINEc.FUZZY LOGICd.AN AI SHELL

Consider a fuzzy logic system that controls a heater in a room. The system takes two inputs: the temperature x and the humidity y. The fuzzy sets for x are Cold and Hot with membership functions μCold(x) and μHot(x), respectively. Similarly, the fuzzy sets for y are Dry and Wet with membership functions μDry(y) and μWet(y), respectively. The output z controls the heater and has Low and High fuzzy sets.The system has two rules:If the room is Cold and Dry, then the heater is set to Low.If the room is Hot and Wet, then the heater is set to High.Now, suppose on a particular day, the membership functions for the inputs are as follows: μCold(x) = 0.4, μHot(x) = 0.6, μDry(y) = 0.5, and μWet(y) = 0.5. Can you compute the rule strengths for the two rules?  a. 0.5, 0.5 b. 0.2, 0.3 c. 0.4, 0.5 d. 0.24,0.25

Why are fuzzy logic and neural networks considered natural complementary tools in building intelligent systems in the context of Neuro-Fuzzy Systems? a. Fuzzy logic focuses on raw data, while neural networks handle linguistic information. b. Fuzzy logic and neural networks both operate at a high level of abstraction. c. Neural networks excel in linguistic reasoning, while fuzzy logic deals with raw data. d. Neural networks handle raw data well, and fuzzy logic is effective in dealing with linguistic information.

How is Fuzzy Logic different from conventional control methods?a) IF and THEN Approachb) FOR Approachc) WHILE Approachd) DO Approach

What do you call a rule-based system where the rules are expressly designed and not learned through data?Question 5Answera.Genetic algorithmb.Knowledge-based systemc.Expert systemd.Neural network