# Final / re-examination · 28 Apr 2025

Subject: Intelligent Systems II

Exam: TEE

Reader: https://deep-learning-study-room.vercel.app/is2/#tee/papers/paper-2025-april

Canonical: https://deep-learning-study-room.vercel.app/read/is2/tee/papers-chapter/paper-2025-april/

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) Joint masses, normalization and conditional probability [5]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2025-april--q1a/)
2. [Q1(b) Genetic algorithm applications [5]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2025-april--q1b/)
3. [Q1(c) Fuzzy union, intersection and complements [5]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2025-april--q1c/)
4. [Q1(d) Cable-company Markov matrix and diagram [5]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2025-april--q1d/)
5. [Q2(a) Fuzzy investment-controller design and centroid [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2025-april--q2a/)
6. [Q2(b) GMM versus k-means, log likelihood and parameter count [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2025-april--q2b/)
7. [Q3(a) Bayesian-network conditional cough probability [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2025-april--q3a/)
8. [Q3(b) Fuzzy Cartesian relations and composition-domain ambiguity [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2025-april--q3b/)
9. [Q4(a) PSO one iteration with missing initialization [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2025-april--q4a/)
10. [Q4(b) Naive Bayes product-purchase classification [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2025-april--q4b/)
11. [Q5(a) Binary GA crossover, one-bit mutation and fitness [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2025-april--q5a/)
12. [Q5(b) Bike-sharing Markov transitions, retention and gains [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2025-april--q5b/)
13. [Q6(a) ACO tour lengths, evaporation and pheromone deposition [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2025-april--q6a/)
14. [Q6(b) Two-step walking/cycling Markov transition [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2025-april--q6b/)
15. [Q7(a) Fuzzy logic applications and complete controller example [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2025-april--q7a/)
16. [Q7(b) Bellman equations and reinforcement-learning applications [10]](https://deep-learning-study-room.vercel.app/read/is2/tee/papers/paper-2025-april--q7b/)