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T

LSANSST DERS KATALOG FORMU(GRADUATE COURSE CATALOGUE FORM)

Dersin Ad : Mhendislikte Bulan k Mant k Modellemesi Course Name: Fuzzy Logic Modeling in Engineering

Kodu(Code)

Yar y l (Semester)

Kredisi(Local Credits)

AKTS Kredisi(ECTS Credits)

DersSeviyesi(Course Level)

HSK 511E Gz+Bahar 3+0 7.5 YL(M.Sc.)

Blm / Program(Department/Program)

naat Mhendisli i Blm / Hidrolik ve Su Kaynaklar Program

Dersin Tr(Course Type)

Semeli Dersin Dili(Course Language)

ngilizce

Dersin erii

(Course Description)

30-60 kelime aras

Belirsizlik Kavramlar ; Klasik Kmeler ve Karaktaristik De erleri; Bulan k Kmeler ve yelikDereceleri; yelik Fonksiyonlar ; Bulan klat rma; Bulan k Kme lemleri, Veleme, Veyalama veDeilleme, Bulan k likiler; Bulan k Matematik, Toplama, karma, arpma ve Blme; Bulan kMant k nermeleri, ncller, Soncullar, kar mlar; Durula t rma, Bulan k Kurallar ve Sistemler;

Uygulamalar. Uncertainty Concepts; Classical Sets and Characteristic Values; Fuzzy Sets and MembershipDegrees; Membership Functions; Fuzzification; Fuzzy Set Operations, Anding, Oring and Noting;Fuzzy Relationships; Fuzzy Mathematics, Addition, Subtraction, Multiplication and Division;Fuzzy Logic Propositions, Predicates, Consequents and Decisions; Defuzzification, Fuzzy Rulesand Systems, Applications.

Dersin Amac

(Course Objectives)

Maddeler halinde 2-5 adet

Son y llar n en nemli ara t rma konular ndan birisi olan bulan k mant k ilkeleri ile formlasyonolmadan ok karma k sistemlerin modellenmesi ve de iik sistemlerin kontrol, ngr veszgelemelerinin yap lmas mmkndr. Do al mant k diyebilece imiz bu d nce ve mant kilkeleri mhendislikte s ka kullan labilir bir potansiyele sahiptir. D nce ve mant n sistemanalizine uygulanmas ile birok mhendislik sorununa gncel zmler verilebilir.

. Fuzzy logic principles are one of the most important topics in recent years, which help to solve even verycomplex problems without formulations in order to control, predict and filtering concerned phenomena.

This is natural logic coupled with reasoning has a very potential usage in future engineering researches andadaptations. Application of reasoning and logic to analytical applications aid to find solutions to many up todate problems with fuzzy logic rules.

Dersin renme kt lar

(Course LearningOutcomes)

Maddeler halinde 4-9 adet

Bu dersi alan renciler a a daki bilgi ve becerileri kazan rlar 1. Bilimde belirsizlik ilkelerinin nemi2. kili (Aristo) mant n ve klasik modelleme3. Bulan k mant k esaslar ve bulan k kmeler 4. Kural taban n n belirlenmesi5. Mamdani ve Sugene kar m motorlar ile modelleme6. Bulan k kmeleme

The students gain the following knowledge and ability1. Uncertainty principles significance in science2. Two-valued logic and classical modeling

3. Fuzzy logic principles and fuzzy sets4. Rule base determination5. Mamdani and Sugene fuzzy inference system modeling6. Fuzzy classification

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Kaynaklar

(References)

Maddeler halinde en ok 5adet

1. en, Z., Fuzzy logic and hydrological modeling. Taylor and francis. Crc lew s publ shers, new york, 340 pp, 2010

2. en, Z., Bulan k Mant k ve Modelleme lkeleri, Bilge Kltr SanatBas mevi, 172 sayfa, 2001.

3. en, Z., Fuzzy Logic and Hydrological Modeling, CRC Lewis Publishers,350 pp, 2009 (Bask da).

4. en, Z., Fuzzy Logic and System Models in Water Sciences, TurkisFoundation,315 pp.

5. Ross, J. T., Fuzzy Logic With Engineering Applications, McGraw-Hill, In

York, 593 pp., 1995.devler ve Projeler

(Homework & Projects)

3 DEV

3 HOMEWORKS

LaboratuarUygulamalar

(Laboratory Work)Bilgisayar Kullan m

(Computer Use)TM DEVLER BILGISAYARLA YAPILIR

ALL WORKS ARE DONE THROUGH COMPUTERSDier Uygulamalar

(Other Activities)

Baar DeerlendirmeSistemi

(Assessment Criteria)

Faaliyetler(Activities)

Adedi*(Quantity)

Deerlendirmedeki Katk s ,%

(Effects on Grading, %)Y l i S navlar (Midterm Exams)

1 % 30(30 %)

K sa S navlar(Quizzes)

1 % 1010 %

devler(Homework) 3 % 20(20 %)Projeler(Projects)Dnem devi/Projesi(Term Paper/Project)Laboratuar Uygulamas (Laboratory Work)Dier Uygulamalar(Other Activities)

DERSEKATILIM/ATTENDANCE

% 1010 %

Final S nav (Final Exam)

1 % 30(30 %)

*Yukar

da Belirtilen Say

lar Minimum Olup Yerine Getirilmesi Zorunludur.

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DERS PLANI

Hafta KonularDersin

kt lar 1 Belirsizlik Kavramlar 12 Klasik Kmeler ve Karaktaristik De erleri 1,43 Bulan k Kmeler ve yelik Dereceleri 1,44 Bulan k Kmeler ve yelik Dereceleri 1,45 yelik Fonksiyonlar 1,46 Bulan klat rma 3,57 Bulan k Kme lemleri, VEleme, VEYAlama ve DE Lleme, Bulan k likiler 3,58 Bulan k Kme lemleri, VEleme, VEYAlama ve DE Lleme, Bulan k likiler 3,59 Bulan k Matematik, Toplama, karma, arpma ve Blme 3,510 Bulan k Mant k nermeleri 3,511 ncller, Soncullar, kar mlar; Durula t rma, Bulan k Kurallar ve Sistemler 3,512 ncller, Soncullar, kar mlar; Durula t rma, Bulan k Kurallar ve Sistemler 3,513 Uygulamalar 2,614 Uygulamalar 2,6

COURSE PLAN

Weeks TopicsCourse

Outcomes1 Uncertainty Concepts 12 Classical Sets and Characteristic Values 1,43 Fuzzy Sets and Membership Degrees 1,44 Fuzzy Sets and Membership Degrees 1,45 Membership Functions; Fuzzification 1,46 Fuzzy Set Operations, ANDing, ORing and NOTing 3,57 Fuzzy Relationships 3,58 Fuzzy Mathematics, Addition, Subtraction, Multiplication and Division 3,59 Fuzzy Mathematics, Addition, Subtraction, Multiplication and Division 3,510 Fuzzy Logic Propositions 3,511 Predicates, Consequents and Decisions; Defuzzification, Fuzzy Rules and Systems 3,512 Predicates, Consequents and Decisions; Defuzzification, Fuzzy Rules and Systems 3,513 Applications 2,6

14 Applications 2,6

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Dersin Hidrolik ve Su Kaynaklar Program yla likisi

1: Az, 2. K smi, 3. Tam

Program n mezuna kazand raca bilgi, beceri ve yetkinlikler (programa ait kt lar)Katk

Seviyesi1 2 3

i. Lisans dzeyi yeterliliklerine dayal olarak, ilgili program alan nda bilgilerini uzmanl kdzeyinde geli tirebilme ve derinle tirebilme (yeterli bilgi birikimi) ( bilg i).

x

ii. Alan n n ili kili oldu u disiplinler aras etkile imi kavrayabilme ( bilgi ). xiii. Alan nda edindi i uzmanl k dzeyindeki kuramsal ve uygulamal bilgileri kullanabilme

(beceri ).x

iv. Alan nda edindi i bilgileri farkl disiplin alanlar ndan gelen bilgilerle btnle tirerekyorumlayabilme ve yeni bilgiler olu turabilme ( beceri ).

x

v. Alan n ile ilgili kar la lan sorunlar ara t rma yntemlerini kullanarak zmleyebilme(beceri ).

x

vi. Alan n ile ilgili uzmanl k gerektiren bir al may ba ms z olarak yrtebilme (Ba ms z al abilme ve Sorumluluk Alabilme Yetkinli i).

x

vii. Alan ile ilgili uygulamalarda kar la lan ve ngrlemeyen karma k sorunlar n zmiin yeni stratejik yakla mlar geli tirebilme ve sorumluluk alarak zm retebilme(Ba ms z al abilme ve Sorumluluk Alabilme Yetkinli i).

x

viii. Alan ile ilgili sorunlar n zmlenmesini gerektiren ortamlarda liderlik yapabilme(Ba ms z al abilme ve Sorumluluk Alabilme Yetkinli i). xix. Alan nda edindi i uzmanl k dzeyindeki bilgi ve becerileri ele tirel bir yakla mla

de erlendirebilme ve renmesini ynlendirebilme ( renme Yetkinli i).x

x. Alan ndaki gncel geli meleri ve kendi al malar n , nicel ve nitel veriler iledestekleyerek, alan ndaki ve alan d ndaki gruplara, yaz l , szl ve grsel olaraksistemli biimde aktarabilme ( leti im ve Sosyal Yetkinlik).

xi. Sosyal ili kileri ve bu ili kileri ynlendiren normlar ele tirel bir bak a s ileinceleyebilme, geli tirebilme ve gerekti inde de i tirmek zere harekete geebilme( leti im ve Sosyal Yetkinlik).

x

xii. Bir yabanc dili en az Avrupa Dil Portfy B2 genel dzeyinde kullanarak szl ve yaz l ileti im kurabilmek ( leti im ve Sosyal Yetkinlik).

x

xiii. Alan n n gerektirdi i dzeyde bilgisayar yaz l m ile birlikte bili im ve ileti im teknolojileriniileri dzeyde kullanabilme ( leti im ve Sosyal Yetkinlik ).

x

xiv. Alan ile ilgili verilerin toplanmas , yorumlanmas , uygulanmas ve duyurulmas a amalar nda toplumsal, bilimsel, kltrel ve etik de erleri gzeterek denetleyebilme vebu de erleri retebilme (Alana zg Yetkinlik).

xv. Alan ile ilgili konularda strateji, politika ve uygulama planlar geli tirebilme ve elde edilensonular , kalite sreleri erevesinde de erlendirebilme (Alana zg Yetkinlik).

xvi. Alan nda zmsedikleri bilgiyi, problem zme ve/veya uygulama becerilerini,disiplinleraras al malarda kullanabilme (Alana zg Yetkinlik).

x

xvii Tezli programlarda , kendi al malar n , alan ndaki uluslararas platformlarda, yaz l ,szl ve/veya grsel olarak aktarabilme (Alana zg yetkinlik).

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