# Final examination · 17 Apr 2024

Subject: Intelligent Systems II

Exam: TEE

Reader: https://deep-learning-study-room.vercel.app/is2/#tee/papers/paper-2024-final

Canonical: https://deep-learning-study-room.vercel.app/read/is2/tee/papers-chapter/paper-2024-final/

Actual historical paper ·100 marks attempted /140 offered · Q1 compulsory + any four of Q2–Q7. Source defects and solution assumptions are explicitly identified.

1. [Q1(a) Conditional probability from fruit counts [5]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q1a/)
2. [Q1(b) Membership function and age sketch [5]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q1b/)
3. [Q1(c) Mutation operators [5]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q1c/)
4. [Q1(d) Markov chain diagram and path probability [5]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q1d/)
5. [Q2(a) Bayesian network joint probabilities [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q2a/)
6. [Q2(b) Fuzzy Cartesian product and composition [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q2b/)
7. [Q3(a) GMM versus K-means [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q3a/)
8. [Q3(b) Center of sums defuzzification [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q3b/)
9. [Q4(a) Fuzzy quality-control design [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q4a/)
10. [Q4(b) ACO components and roles [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q4b/)
11. [Q5(a) PSO inspiration, parameters and one iteration [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q5a/)
12. [Q5(b) Brand-switching transition matrix [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q5b/)
13. [Q6(a) GA ranking and three crossover methods [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q6a/)
14. [Q6(b) Markov property and weather path [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q6b/)
15. [Q7(a) Bayes bag posterior [5]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q7a/)
16. [Q7(b) Max–min relational composition [5]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q7b/)
17. [Q7(c) Point versus uniform crossover [5]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q7c/)
18. [Q7(d) Applications of reinforcement learning [5]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2024-final--q7d/)