Kocaeli University / European Credit Transfer System (ECTS)

Name of Lecturer(s)

Prof. Dr. Haluk KONAK

Learning Outcomes of the Course Unit
Program Competencies-Learning Outcomes Relation

Learning Outcomes of the Course Unit

1) Form the Mathematical Models for Geodetic Problems
2) Recognize the Concepts of uncertainty and ambiguity, Inconsistencies and Imprecision
3) Form the Fuzzy sets for Geodetic Problems
4) Write the Membership functions for Geodetic Problems
5) Recognize the Fuzzification and defuzzification processes
6) Form the Fuzzy Inference Systems
7) Recognize the Fuzzy statistical methods
8) Make the Fuzzy outlier tests for Geodetic data

Program Competencies-Learning Outcomes Relation

		Program Competencies
		1	2	3	4
Learning Outcomes
	1	No relation	No relation	No relation	No relation
	2	High	No relation	No relation	No relation
	3	Middle	No relation	No relation	No relation
	4	No relation	No relation	No relation	No relation
	5	No relation	No relation	No relation	No relation
	6	No relation	No relation	No relation	No relation
	7	No relation	No relation	No relation	No relation
	8	High	No relation	No relation	No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

JJM513 Estimation for Geodetic Parameters and Linear Hypothesis Testing

Course Contents

Candidates are provided with profound knowledge on concept of mathematical model, functional and stochastic models, concepts of uncertainty and ambiguity, inconsistencies and imprecision, fuzzy sets and memberships, fuzzy inference systems: fuzzification and defuzzification processes, fuzzy statistical methods, fuzzy linear hypotheses and confidence intervals, fuzzy outlier tests, fuzzy linear parameter estimation, fuzzy approaches for the localization of outliers in geodetic networks, fuzzy approaches for two-and three dimensional transformation models, fuzzy quality criteria for Datum Transformation an the improvement of geodetic networks by using fuzzy approaches.

Weekly Schedule

1) Concept of Mathematical Model Functional and Stochastic Models. Geodetic examples.
2) Concepts of uncertainty and ambiguity. Inconsistencies and Imprecision. Geodetic exampes.
3) Classical Sets and Fuzzy Sets
4) Classical Relations and Fuzzy Relations
5) Properties of Membership Functions, Fuzzification, and Defuzzification
6) Development of Membership Functions
7) Fuzzy Systems.Fuzzy (Rule-Based) Systems 148 Graphical Techniques of Inference. The Mamdani model, the Sugeno Model, the Tsukamoto fuzzy model
8) Midterm exam
9) Bulanık İstatistik. Bulanık doğrusal hipotez testleri ve güven aralıkları
10) Testi ve Bulanık Parametre Tahmini.Bulanık Uyuşumsuz Ölçüler
11) Fuzzy approaches for the localization of outliers in geodetic networks.
12) Fuzzy approaches for Two dimensional Coordinate Transformations.
13) Fuzzy approaches for three dimensional Transformation Models.
14) Fuzzy quality criteria for Datum Transformations.
15) The improvement of geodetic networks by using fuzzy approaches.
16) Final Exam

Planned Learning Activities and Teaching Methods

1) Lecture
2) Question-Answer
3) Discussion
4) Group Study
5) Self Study
6) Problem Solving

Assessment Methods and Criteria

Contribution of Midterm Examination to Course Grade	20%
Contribution of Final Examination to Course Grade	80%
Total	100%

Language of Instruction

Turkish

Work Placement(s)

Not Required

Course Unit Title	Course Unit Code	Type of Course Unit	Level of Course Unit	Year of Study	Semester	ECTS Credits
Evaluation Odf Geodetic Networks Using Fuzzy Logic Models	JJM606	Elective	Doctorate degree	1	Spring	8