- Write five rule from the table and find the fuzzy rule inference based on the following fuzzification values and rule: If (Temperature is high and dust is Low and humidity is medium) or (temperature is medium and dust is medium or humidity is high) then (weather is medium) Temperature Dust humidity Membership fuzzy function for high A=0.80 C= 0.87 H-0.75 Membership fuzzy function for B=0.35 D=0.55 G=0.6 medium Membership fuzzy function for low E=0.10 F=0.40 1-0.25

Write rational expressions for each;

We can use the Group-Object cmdlet to group the outputs into smaller groups.  We can use the -Property parameter to decide the value of which property to use as the criteria to group. Group of answer choices True False

You build a model predicting blood pressure as a function of three variables: weight (numeric) age (numeric) income (categorical: low, medium, high) You first specify your model as: blood pressure ~ age * income + weight How many parameters (k) does your model have? (Remember, we do not count the grand mean in k)   You change the above model specification to be: blood pressure ~ age * income + weight * income How many parameters does your model have now?   You change your model to include the three-way interaction (which, remember, includes all two-way interactions and main effects, too!) Your model now looks like this: blood pressure ~ age * income * weight How many parameters does your model have now?

The Jaccard coefficient between two sets {a, b, c, d} and {a, b, c, e} is 0.75. Group of answer choices True False

Part I: use the 8 inference rules (Simp. Conj. D.S., H.S., DIL, M.P., M.T., Add) to prove the following arguments. You are NOT allowed to use any of the 10 replacement rules, nor C.P. or I.P. a) 1. (AvB) (CÉD) 2.~CÉ~A 3. ~B~D ^~(PÉQ) b) 1. ((PoQ)v~S) ~C 2. WÉ ((PoQ) ÉA) 3. (WvC)-(~SÉB) AAVB Part II: Use 8 inference rules and 10 replacement rules (D.N., C.E., B.E., DeM., Dup., Assoc., Commu., Dist., Contrap., Export.) to prove the following arguments. You are NOT allowed to use C.P. or I.P.

The variable Overview is:   continuous   categorical    Both   Neither