Predict with Fuzzy Logic if: Age 45, IMT 26 and Alcohol Variable 2!
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Fuzzy Logic :
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Can you please calculate how this would be if those parameters are put into the cancer parameters a patient can get with the fuzzy set given ?
Parameter | |
Desc | interval % |
Very little | < 20 |
little | 20 - <40 |
normal | 40 - <60 |
high | 60-70 |
very high | > 70 |
- Subject : Artificial Intelligence Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following. Select one: a. AND b. OR c. NOT d. All of the mentionedSubject : Artificial Intelligence What Is The First Step Of Fuzzy Logic Toolbox? Select one: a. Fuzzification of the input variables b. Defuzzification c. Application of the fuzzy operator (AND or OR) in the antecedent d. Aggregation of the consequents across the rulesIn decision tree regression how does the leaf predict the numeric value in a decision tree regression
- make Algorithm for Fuzzy decision-making for Dog Eat Dog.out: best direction θblocal: best evaluation eb; direction candidate θ; evaluation e of the directionComputer Science 1. Construct a fuzzy model of the function of two variables according to option containing 6 membership functions for input variables and at least 9 for output.trur or false (______) Fuzzy systems are not suitable for uncertain or approximate reasoning,especially for the system with a mathematical model that is difficult to derive.
- Define decision nodeCHOICES: Causal Rule Completeness Consequents Constant Symbols Decision Theory Diagnostic Rule First-Order Logic Horn Clause Ignorance Inference Joint Probability Distribution Laziness Precedents Predicate Symbols Probability Distribution Probability Theory Propositional Logic Soundness Unification Utility TheoryA propositional knowledge-base KB consisting of five sentences is given below (note that "/\" is used to denote "logical and", and "\/" is used to denote "logical or", and "~" is used to denote "logical negation"): 1. (~P /\ ~Q ) -> R2. R -> S3. ~S4. P -> ~U5. U (a). Explain in English that KB |= Q.(b). Show resolution steps that leads to KB |- Q. You should first convert the sentences in the KB into clauses.
- In R, the type parameter required to see category predictions from a neural network using the predict function is __________. predictions output class rawA propositional knowledge-base KB consisting of five sentences is given below (note that "/\" is used to denote "logical and", and "\/" is used to denote "logical or", and "~" is used to denote "logical negation"): 1. (~P /\ ~Q ) -> R2. R -> S3. ~S4. P -> ~U5. U a) Explain in English (in Steps!) that KB |= Q. b) Show resolution steps that leads to KB |- Q. You should first convert the sentences in the KB into clauses.Which part of an inference rule is the antecedent?