Applied Fuzzy Electronic Systems detail syllabus for Instrumentation Engineering (IE), 2021-22 scheme is taken from AKTUs official website and presented for the AKTU B.Tech students. For the course code (KIC073), exam duration, teaching hr/week, practical hr/week, total marks, internal marks, theory marks, duration, credits, and other details do visit complete semester subjects post given below.
For the IE 7th Sem Syllabus for AKTU B.Tech 2021-22 Scheme you can visit IE 7th Sem 2021-22 Scheme. For the Departmental Elective-4 scheme of IE 7th Sem 2021-22 regulation do refer to Departmental Elective-4 IE 7th Sem scheme. The detail syllabus for applied fuzzy electronic systems is as follows.
Unit I
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Unit II
Fuzzy Rules: Fuzzy Mapping Rule, Fuzzy Implication Rule, Fuzzy Rule Based Models for Function Approximations, Theoretical Foundation of Fuzzy Mapping Rules, Types of Fuzzy Rule Based Models: Mamdani Model, TSK Model, Standard Additive Model, Fuzzy Implications and Approximate Reasoning: Propositional Logic, First Order Predicate Calculus, Fuzzy Implications Approximate Reasoning, Criteria and Family of Fuzzy Implications, Possibility vs. Probability, Probability of Fuzzy Event, Probabilistic Interpretations of Fuzzy Sets, Fuzzy Measure.
Unit III
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Unit IV
Approximate method of Extension, Vertex Method, DSW Algorithm, and Restricted DSW Algorithm and their comparison, Classical Predicate Logic; Fuzzy Logic; Approximate Reasoning; Fuzzy Tautologies, Contradictions, Equivalence, and Logical Proof; Fuzzy Rule Based Systems, Models of Fuzzy AND, OR, and Inverter; Fuzzy Algebra; Truth Tables; Fuzzy Functions; Concept of Fuzzy Logic Circuits; Fuzzy Flip- Flop; Fuzzy Logic Circuits in Current Mode, Furry Numbers.
Unit V
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Text Books:
- John Yen, Reza Langari, ‘Fuzzy Logic: Intellegent Control and Information’, Pearson Publication.
- Ahmad M. Ibrahim, ‘Introduction to Applied Fuzzy Electronics’, Prentice Hall Publication.
- Ahmad M. Ibrahim, ‘Fuzzy Logic for Embedded Systems Applications’, Newnes Publications.
- Witold Pedrycz, Fernando Gomide, ‘Fuzzy Systems Engineering: Toward Human Centric Computing’, John Wiley Publications.
Course Outcomes:
At the end of this course students will demonstrate the ability to:
- Explain the Operations of Fuzzy Sets, Properties of Fuzzy Sets, Geometric Interpretations of Fuzzy Sets, Possibility Theory.
- Design Fuzzy Mapping Rule, Fuzzy Implication Rule, Fuzzy Rule Based Models for Function Approximations, Theoretical Foundation of Fuzzy Mapping Rules, Types of Fuzzy Rule Based Models.
- Realize Fuzzy Sets and their properties; Cardinality of Classical Relations and their properties.
- Interpret the Principle of Vertex Method, DSW Algorithm, and Restricted DSW Algorithm and their comparison, Classical Predicate Logic; Fuzzy Logic.
- Describe the fundamental Issues in Control Engineering, Control Design Process, Semiformal Aspects of Design Process, Mamdani Architecture of Fuzzy Control, The Sugeno-Takagi Architecture.
For the syllabus of all the subjects of B.Tech IE 7th Sem, 2021-22 scheme do visit IE 7th Sem syllabus subjects.
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.