1. FUZZY LOGIC CONTROL SYSTEM
A Seminar Report Submitted in Partial Fulfillment
of the Requirements for the Degree of
Master in Computer Application
Department of Computer Science, Engineering and Applications
Indira Gandhi Institute of Technology,
Sarang, Dhenkanal, Odisha-759146
GUIDED BY
Mrs.Sangita Pal
SUBMITTED BY
RAJANIKANTA PRADHAN
MCA 4th Semester
Roll. No. - 32422
2. FUZZY LOGIC CONTROL SYSTEM
A Seminar Report Submitted in Partial Fulfillment
of the Requirements for the Degree of
Master in Computer Application
Department of Computer Science, Engineering and Applications
Indira Gandhi Institute of Technology,
Sarang, Dhenkanal, Odisha-759146
GUIDED BY
Mrs.Sangita Pal
SUBMITTED BY
RAJANIKANTA PRADHAN
MCA 4th Semester
Roll. No.-32422
3. INDIRA GANDHI INSTITUTE OF TECHNOLGY
SARANG
CERTIFICATE
This is a bonafide record of Seminar Report entitled “Fuzzy logic control system”. This
seminar was presented satisfactorily at the department of computer science, engineering and
application, IGIT, Sarang in partial fulfillment of requirement for forth semester Master in
Computer Application under BPUT, Odisha. This report has not been submitted for any other
examination and does not form part of any other course undergone by the candidate.
Date: 26.02.2015
Seminar Supervisor HOD, Dept. of CSEA
4. ACKNOWLEDGEMENT
I am heartily thankful to my supervisor, Mrs.Sangita Pal, whose encouragement, guidance and
support from the initial to the final level enabled me to develop an understanding of the subject.
I would like to express my sincere thanks to Prof. S.N. Mishra, HOD, Dept. of CSEA, IGIT,
Sarang for his suggestion, motivation and support during the seminar preparation.
I have been fortunate enough to have all support motivation from my parents and friends. I
sincerely thanks to the other faculties of the department of CSEA, IGIT, Sarang for their
positive and constructive suggestion and kind cooperation during seminar preparation and
presentation.
RAJANIKANTA PRADHAN
5. TABLE OF CONTENTS
Page No
Abstract 1
1. Introduction 2
2. Classic setand fuzzy set 3
2.1 Fuzzy sets 4
2.2 Fuzzy vs. Probability 5
3. Membership function 6
3.1 Features of Membership function 7
4. Fuzzification 7
5. Defuzzification 8
5.1 Max-Membership principle 8
5.2 Centroid Method 8
5.3 Weighted average method 8
5.4 Means –max membership 9
6. Fuzzy logic control system 10
7. Automated automobiles 10
7.1. Obstacle Sensor Unit: 10
7.2. Sensing distance 10
7.3. Mechanism 10
7.4. Speed control 12
7.5 Obstacles which the car cannot overcome: 13
8. Conclusion 13
9. Reference 13
6. LIST OF FIGURE
Page No
Figure 1 Classical set and fuzzy set . 3
Figure-2 Membership function for fuzzy set 5
Figure-3 Features of membership function 6
Figure-4 Normal and subnormal fuzzy set 7
Figure-5 Input member function for distance 11
Figure-6 Input membership function velocity 11
Figure-7Output membership function 12