كاربردهاي آن در مهندسي صنايع

Slides:



Advertisements
Similar presentations
ME 520 Fundamentals of Finite Element Analysis Assoc.Prof.Dr. Ahmet Zafer Şenalp Mechanical Engineering.
Advertisements

PART 12 Fuzzy Decision Making 1. Individual decision making 2. Multiperson decision making 3. Multicriteria decision making 4. Multistage decision making.
Electromagnetic Induction and Faraday’s Law
Physics for Scientists & Engineers, 3rd Edition
Chapter 6 Gravitation and Newton’s Synthesis Physics for Scientists & Engineers, 3 rd Edition Douglas C. Giancoli © Prentice Hall.
Chapter 33 Light: Reflection and Refraction Physics for Scientists & Engineers, 3 rd Edition Douglas C. Giancoli © Prentice Hall.
Sources of Magnetic Field
Kinematics in Two Dimensions; Vectors
Lenses and Optical Instruments
Chapter 5 Further Applications of Newton’s Laws Physics for Scientists & Engineers, 3 rd Edition Douglas C. Giancoli © Prentice Hall.
Chapter 35 The Wave Nature of Light; Interference Physics for Scientists & Engineers, 3 rd Edition Douglas C. Giancoli © Prentice Hall.
Electric Charge and Electric Field
Chapter 2 Describing Motion: Kinematics in One Dimension Physics for Scientists & Engineers, 3 rd Edition Douglas C. Giancoli © Prentice Hall.
To accompany Quantitative Analysis for Management, 8e by Render/Stair/Hanna M2-1 © 2003 by Prentice Hall, Inc. Upper Saddle River, NJ Module 2 Dynamic.
Object-Oriented Analysis and Design: Sequence Diagrams
Chapter 19 Heat and the First Law of Thermodynamics Physics for Scientists & Engineers, 3 rd Edition Douglas C. Giancoli © Prentice Hall.
Conservation of Energy
INTRODUCTION TO PROGRAMMING COURSE CODE – MIS 211 Department of Management Information System Mr.Mohammed Abu Roqiah.
CEN 592 PATTERN RECOGNITION Spring Term CEN 592 PATTERN RECOGNITION Spring Term DEPARTMENT of INFORMATION TECHNOLOGIES Assoc. Prof.
INTRODUCTION TO DATABASES Chapter 1. What is a Database?  Forget the glossary! (see pages 11-12)  The purpose of a database is to help people track.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Prentice Hall Linearization and Newton’s Method Section 4.5.
ISyE 8803D Formal Methods in Operations Engineering Instructor Spyros Reveliotis Spring 2007.
MAT120 Asst. Prof. Dr. Ferhat PAKDAMAR (Civil Engineer) M Blok - M106 Gebze Technical University Department of Architecture Spring.
Computer Architecture Course Plan Spring 2010 Learn how a computer actually works Computer Engineering Faculty of Engineering University of Kurdistan (
4-1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall Linear Programming: Modeling Examples Chapter 4- Part2.
Mod-2 Vector Arithmetic For 2 binary n-vectors a and b –All components of a and b are elements of {0,1} –The mod-2 sum, c = a+b is term-by-term mod-2 sum.
Technological Educational Institute Of Crete Department Of Applied Informatics and Multimedia Intelligent Systems Laboratory 1 Prof. George Papadourakis,
Chapter 15 Wave Motion Physics for Scientists & Engineers, 3 rd Edition Douglas C. Giancoli © Prentice Hall.
BMTS Computer Programming Pre-requisites :BMTS 242 –Computer and Systems Nature Of the Course: Programming course, contain such as C, C++, Database.
The Inverse Trigonometric Functions (Continued)
APPLIED MANAGEMENT SCIENCE IN AGRICULTURAL SYSTEMS I
Welcome to SSE3044 Operating Systems!
ME 520 Fundamentals of Finite Element Analysis
INTRODUCTION TO FINITE ELEMENT ANALYSIS
Data Analytics for ICT.
Introduction to UML.
Design of a Programmable Fuzzy Logic Controller in CMOS Technology
Section 9.1 Polar Coordinates
Object-Oriented Analysis and Design: Sequence Diagrams
EE 210 Signals and Systems Jan-April 2009
A Practical Guide to Linux® Commands, Editors, and Shell Programming
Section 2.4 Circles Copyright © 2012 Pearson Education, Inc. Publishing as Prentice Hall.
طرح درس برنامه‌ريزي استراتژيک Strategic Planning
طرح درس تجزيه و تحليل سيستم‌ها براي مديريت اطلاعات بهداشتي-درماني System Analysis for Medical-Healthcare Information Management دوره کارشناسي ارشد مجازي.
COMM 1001: Modulation & Coding
Chapter 9 Structuring System Requirements: Logic Modeling
Introduction to Fuzzy Theory
Section 8.3 The Law of Cosines
Sequencing and Scheduling Introduction and Chapter 1
שילוב קורסים לפיתוח מיומנויות למידה במכללה להנדסה
Section 11.8 Linear Programming
Copyright © 2008 Pearson Prentice Hall Inc.
Chapter 4 - Case Study Clustering
" بهينه سازي سامانه هاي پيشرفته توليدي و خدماتي"
CH751 퍼지시스템 특강 Uncertainties in Intelligent Systems
Introduction Number Systems and Conversion
Linear Programming: Modeling Examples
Mathematical Models: Building Functions
Dynamic Programming and Applications
Fuzzy Logic Control EELE 6306
Contracts and documentation
Nonlinear Dynamic Control Systems
Lecture 0: Introduction
ELEC 7250 – VLSI Testing (Spring 2006)
Systems of Linear Equations: Matrices
Quadratic Equations in the Complex Number System
Properties of Rational Functions
COMPUTER HISTORY, PRESENT & FUTURE. What is a Computer? A computer is a machine that can be instructed to carry out sequences of arithmetic or logical.
Copyright © 2008 Pearson Prentice Hall Inc.
The Inverse Trigonometric Functions (Continued)
Presentation transcript:

كاربردهاي آن در مهندسي صنايع بسمه تعالي دانشگاه صنعتي شريف دانشكده مهندسي صنايع نظريه مجموعه هاي فازي و كاربردهاي آن در مهندسي صنايع مدرس : حسن شوندي نيمسال دوم 86-85

هدف از اين درس : آشنايي با نظريه مجموعه فازي و تفاوت آن با نظريه احتمالات و عدم قطعيت آشنايي با منطق و سيستم هاي فازي زمينه هاي كاربردي مجموعه هاي فازي و دستاوردها كاربرد مجموعه هاي فازي در مهندسي صنايع تحليل فازي ، بهينه سازي فازي ، تصميم گيري فازي ، برنامه ريزي خطي فازي ، برنامه ريزي پوياي فازي ، كنترل موجودي فازي ، رگرسيون فازي ، زمانبندي پروژه فازي ، جانمايي فازي و سيستم هاي اطلاعاتي فازي قابليت توسعه مدل هاي مهندسي صنايع با بكارگيري مجموعه هاي فازي

بخش اول : نظريه مجموعه هاي فازي فهرست مطالب   بخش اول : نظريه مجموعه هاي فازي فصل اول ـ مقدمه اي بر نظريه فازي Introduction to Fuzzy theory فصل دوم ـ مجموعه هاي فازي Fuzzy Sets فصل سوم ـ روابط فازي در مجموعه هاي فازي Fuzzy Relations فصل چهارم ـ منطق فازي و سيستم هاي فازي Fuzzy Logic and Fuzzy systems فصل پنجم ـ نظريه امكان Possibility theory   فصل ششم ـ اعداد فازي و محاسبات فازي Fuzzy Numbers and Fuzzy Arithmetic

بخش دوم : كاربردهاي مجموعه هاي فازي در مهندس صنايع فصل هفتم ـ تحليل و بهينه سازي فازي Fuzzy Analysis and optimization بخش دوم : كاربردهاي مجموعه هاي فازي در مهندس صنايع فصل هشتم - مقدمه اي بر كاربردهاي مجموعه هاي فازي در مهندس صنايع فصل نهم - تصميم گيري فازي Fuzzy Decision Making فصل دهم - برنامه ريزي خطي فازي Fuzzy Linear programming فصل يازدهم - برنامه ريزي پوياي فازي Fuzzy Dynamic Programming فصل دوازدهم - كاربرد مجموعه هاي فازي در كنترل موجودي Fuzzy sets in inventory control

فصل سيزدهم - رگرسيون فازي Fuzzy Regression فصل چهاردهم - زمانبندي پروژه فازي Fuzzy project scheduling فصل پانزدهم - مدل هاي جانمايي فازي Fuzzy Location Models فصل شانزدهم - سيستم هاي اطلاعاتي فازي Fuzzy Information Systems

پروژه تحقيقاتي : ساختار گزارش : پرزنت در كلاس انتخاب موضوع ساختار گزارش : انتخاب موضوع بررسي تحقيقي كاربرد نظريه فازي در موضوع انتخابي تحليل مدل ها و فرضيات و نتايج نتيجه گيري پرزنت در كلاس

1- نظریه مجموعه های فازی و کاربرد آن در مهندسی صنایع و مدیریت مراجع : 1- نظریه مجموعه های فازی و کاربرد آن در مهندسی صنایع و مدیریت ترجمه و تالیف : حسن شوندی 2- First course on Fuzzy theory and applications. Kwang H. Lee, Springer, 2005. 3- Fuzzy logic with engineering applications, second edition. Timothy J. Ross, John Wiley, 2005. 4- Fuzzy sets and fuzzy logic, theory and application. George J. Klir, Bo Yoan, Prentice Hall, 2oo2. 5- Fuzzy set theory and its applications, third edition. H. J. Zimmermann, Kluwer Academic Publishers, 1996.

نحوه ارزشیابی تکالیف و کوییز : 3 نمره امتحان میان ترم : 4 نمره پروژه : 4 نمره امتحان پایان ترم : 9 نمره