Data Science Competitions/Seminars/Fora/Courses
Courses
Introduction to Fuzzy Set Theory, Arithmetic and Logic
Link: https://swayam.gov.in/nd1_noc19_ma31/preview
Excerpt: “In most real-life applications of any decision making, one needs to face many types of uncertainty. As humans, we can deal with this uncertainty with our reasoning prowess. However, it is not clear how to deal with this uncertainty in a system. Fuzzy sets and fuzzy logic give us one way of representing this uncertainty and reasoning with them.”
Topics covered:
- Fuzzy sets, crisp vs. fuzzy types of fuzzy sets, membership functions, alpha cuts
- Operation on fuzzy sets, t-norm, complements t-conorm, combination of operations
- Fuzzy arithmetic interval, decomposition principle, extension principle, fuzzy equations
- Relations, fuzzy relations projections, equivalence relation, transitive closure, compatibility relation
- Propositional logic, Boolean algebra multi-valued logic
- Inference from conditional and qualified fuzzy propositions
- Fuzzy quantifiers, inference from quantified fuzzy propositions
- Possibility vs. probability, belief and plausibility, Dempster’s rule
Udemy: Practical Introduction to Fuzzy Logic with Matlab
Link: https://www.udemy.com/course/fuzzy-logic-matlab/
Topics covered:
- Fuzzy Logic Foundations: Fuzzy sets and membership functions; operations on fuzzy sets; union and intersection
- Fuzzy Control vs. Classical Control: Necessity of fuzzy logic
- Fuzzy Arithmetic Functions: discrete fuzzy function, continuous fuzzy function
- Fuzzy Inference Systems and Fuzzy Rules: fuzzy linguistic variables, fuzzy ruled based systems
Fundamentals of Fuzzy Logic
Link: https://datanose.nl/Course/Manual/61871/Fundamentals%20of%20Fuzzy%20Logic/2017
Excerpt: “FL is a form of many-valued logic. It extends the truth values to an arbitrary degree of truth, formally a value in the interval [0, 1]. The aim of FL is to mimic human reasoning in an environment of uncertainty and imprecision (such as the real world). FL provides an intuitive approach to modelling human intelligence in machines, as it uses high-level linguistic inference.”
Topics covered:
- Motivations of fuzzy logic
- Linguistic uncertainty
- Fuzzy set theory
- Fuzzy logic systems
- Applications of fuzzy logic systems
NPTEL: Fuzzy Logic and Neural Networks
Link: https://nptel.ac.in/courses/127105006/#
Topics covered:
- Fuzzy sets and their applications
- Fuzzy reasoning and optimization
- Neuro-Fuzzy systems
- Soft computing
Lecture Notes & Seminars
Fuzzy Logic and Systems
Link: https://www.scss.tcd.ie/Khurshid.Ahmad/Teaching/Lectures_on_Fuzzy_Logic/FuzzyLogicSystems.html
Topics covered:
- Fuzzy logic
- Fuzzy sets and systems
- Fuzzy knowledge-based systems
Introduction to Fuzzy Logic
Link: https://teaching.csse.uwa.edu.au/units/CITS7212/Lectures/Students/Fuzzy.pdf
Topics covered:
- Fuzzy concepts
- Fuzzy propositional and predicate logic
- Fuzzification
- Defuzzification
- Fuzzy control systems
- Types of fuzzy algorithms
- Applications of fuzzy logic
Applied Logic – Fuzzy Logic
Links: https://www.mimuw.edu.pl/~szczuka/ls/Lecture5EN.pdf
https://www.mimuw.edu.pl/~szczuka/ls/Lecture6EN.pdf
https://www.mimuw.edu.pl/~szczuka/ls/Lecture7EN.pdf
Topics covered:
- Fuzzy concepts and fuzzy sets
- Operations and linguistic rules
- Fuzzy intersection (T-norm)
- Fuzzy union (T- co-norm)
- Fuzzy complement
- Duality of T-norms and S-norms
- Fuzzy relations
- Cartesian products of fuzzy sets
- Cylindrical extension and projection
- Fuzzy logical connectives
- Fuzzy implication
- Possibilistic fuzzy logic
- Fuzzy knowledge bases
- Fuzzy theories
- Fuzzy inference
Knowledge-Based Control Systems
Links: http://www.dcsc.tudelft.nl/~sc4081/2018/Materials/180212_Lecture_1_Introduction_and_Fuzzy_Control_I_4p.pdf
http://www.dcsc.tudelft.nl/~sc4081/2018/Materials/180214_Lecture_2_Fuzzy_Control_II_4p.pdf
Topics covered:
- Fuzzy sets and set-theoretic operations
- Fuzzy relations
- Fuzzy systems
- Linguistic model
- Approximate reasoning
- Singleton and Takagi–Sugeno fuzzy system
- Knowledge-based fuzzy modelling
- Direct fuzzy control
- Supervisory fuzzy control
Neural Fuzzy Systems Lecture Notes
Links: http://uni-obuda.hu/users/fuller.robert/nfs.html
Topics covered:
- Fuzzy sets and set-theoretic operations
- Operations on fuzzy sets
- Fuzzy relations
- Fuzzy implications
- Theory of approximate reasoning
- Fuzzy rule-based systems
- Fuzzy reasoning schemes
- Fuzzy logic controllers
- Neuro-fuzzy classifiers
Technical articles are published from the Absolutdata Labs group, and hail from The Absolutdata Data Science Center of Excellence. These articles also appear in BrainWave, Absolutdata’s quarterly data science digest.