Infopaket

Fuzzy logic

ОК.06

Обов’язкова дисципліна для ОП

Second

2021/2022

1 Semester

3

PLO01. Know and systematically apply methods of analysis and modeling of the application area, identifying information needs and collecting source data for software design. PLO08. Conduct analytical research on the parameters of software systems for their validation and verification, as well as analyze the selected methods, tools for automated design and implementation of software. PLO13. Prepare research results in the form of articles in scientific journals and abstracts of reports at scientific and technical conferences PLO14. Explain, analyze, purposefully search for and select the necessary for the solution of professional scientific and applied problems of information and reference and scientific and technical resources and sources of knowledge, taking into account modern advances in science and technology.

Full-time form

1. Know the basics of software development using modern programming languages, some chapters of mathematical analysis, algebra, programming and probability theory. 2. Be able to: solve equations and systems of linear algebraic equations. 3. Have skills: elements of integral calculus and probability theory.

The purpose of the discipline is to master the theoretical issues of fuzzy algorithmization, the main methods of solving problems in fuzzy formulation, the means of building fuzzy models of problems in different subject areas. As a result of studying the discipline the student must: know information about the basic concepts and definitions of fuzzy set theory, principles of designing intelligent software systems with fuzzy models of knowledge representation; be able to design and develop fuzzy models of knowledge representation, choose the most successful membership functions for the implementation of the software project; use development tools.

1. D. Rutkovskaya, M. Pilinsky, L. Rutkovsky. Neural networks, genetic algorithms and fuzzy systems. M .: Telekom, 2006. - 382 p. 2. J. Leski. Systemy neuronowo-rozmyte. Warszawa: Naukowo-Techniczne, 2008. – 690 c. 3. Zadeh L.A. Fuzzy sets as a basis for a theory of possibility // Fuzzy Sets and Systems, 1978, N1, p. 3–28.

Lectures, independent work (project), tests, homework, exam.

1. Test 1: LO 1.1, LO1.2, LO2.1 - 10 points / 6 points. 2. Test 2: LO 1.2, LO1.3, LO2.1 - 10 points / 6 points. 3. Independent work 1: LO1.2, LO1.3, LO2.1, LO3.1 – 20 points /12 points. 4. Independent work 2: LO1.2, LO1.3, LO2.1, LO3.1 – 20 points /12 points. Final assessment (in the form of an exam): - maximum number of points: 40 points; - learning outcomes which shall be assessed: LO1.1, LO1.2, LO1.3, LO2.1: - form of examination and types of tasks: written work, 4 written assignments.

Ukrainian