'Linguistic variable' presentation slideshows

Introduction to Fuzzy Logic

Introduction to Fuzzy Logic. Dr. Alex Yu yuyouling@mail.tongji.edu.cn. Special Appreciation & Acknowledgement. Dr Bogdan L. Vrusias BSc, PhD, TCA, Lecturer Email: b.vrusias@surrey.ac.uk Address:

1.38k views • 129 slides

Introduction to Innovative Design Thinking

Introduction to Innovative Design Thinking. CDI. Lecture 4. Concept of Fuzzy Logic Lateral thinking Six Thinking Hats Problem Identification. Fuzzy Logic. Fuzzy logic is a notion introduced by Lotfi Zadeh, a Russian professor in 1964. Fuzzy Logic.

871 views • 74 slides

Fuzzy Logic

Fuzzy Logic. CIS 488/588 Bruce R. Maxim UM-Dearborn. World Objects. Items Direct effect on player state (e.g. health or armor) No direct effect on player state (e.g. invincibility) Strategies to maximize benefits of object collection are important for game bots to appear smart

879 views • 57 slides

Malcolm J. Beynon

Fuzzy and Dempster-Shafer Theory based Techniques in Finance, Management and Economics. Malcolm J. Beynon. Cardiff Business School BeynonMJ@cardiff.ac.uk. Uncertain Reasoning. Uncertain Reasoning (Soft Computing)

806 views • 52 slides

Lecture 4

Lecture 4. Fuzzy expert systems: Fuzzy logic. Introduction, or what is fuzzy thinking? Fuzzy sets Linguistic variables and hedges Operations of fuzzy sets Fuzzy rules Summary. Introduction, or what is fuzzy thinking?. Experts rely on common sense when they solve problems.

640 views • 42 slides

Lecture 4

Lecture 4. Fuzzy expert systems: Fuzzy logic. Introduction, or what is fuzzy thinking? Fuzzy sets Linguistic variables and hedges Operations of fuzzy sets Fuzzy rules Summary. Introduction, or what is fuzzy thinking?. Experts rely on common sense when they solve problems.

664 views • 41 slides

Fuzzy expert systems

Fuzzy expert systems. Fuzzy logic. Introduction, or what is fuzzy thinking? Fuzzy sets Linguistic variables and hedges Operations of fuzzy sets Fuzzy rules Summary. Introduction, or what is fuzzy thinking?. Experts rely on common sense when they solve problems.

1.03k views • 36 slides

Interlanguage Variation of Chinese Learners of English

Interlanguage Variation of Chinese Learners of English . D. Victoria Rau Providence University. Definition of Interlanguage.

1.4k views • 35 slides

Computational Intelligence Winter Term 2009/10

487 views • 34 slides

Chapter 2

Chapter 2. Dialectology & Language Variation Nothing is permanent but change Heraclitus. True or False. All dialects are equal. The cartoon in the previous slide focuses on which aspect of dialectal difference? Vocabulary Morphology Phonology Syntax All of the above.

767 views • 29 slides

Language Variation and Change

Language Variation and Change. Hauptseminar, WS 2007/8, Campus Essen Raymond Hickey, English Linguistics. Language variation and change.

2.11k views • 29 slides

Soft Computing

Soft Computing. Lecture 4 Fuzzy logic, linguistic variables, pseudo-physical logics. 8.3 Linguistic variable 8.3.1 Definition of linguistic variable When we consider a variable, in general, it takes numbers as its value. If the variable takes linguistic

451 views • 29 slides

Language and social variation

6.2k views • 19 slides

Chapter 2

411 views • 19 slides

Basic Concepts of Fuzzy Logic

Basic Concepts of Fuzzy Logic. Apparatus of fuzzy logic is built on: Fuzzy sets : describe the value of variables Linguistic variables : qualitatively and quantitatively described by fuzzy sets Possibility distributions : constraints on the value of a linguistic variable

954 views • 19 slides

Intelligent systems

Intelligent systems. Lecture 9 Main concepts of fuzzy logic and linguistic variables, LISP. Fuzzy logic is based on fuzzy sets. B. A. In classical set theory any element can to be member of set or not. Is(a, A) = 1 or 0, true or false. 0. 1. 1. 0. 0.5. In fuzzy set theory

390 views • 16 slides

Sociolinguistics

387 views • 14 slides

Lecture 30 Fuzzy Set Theory (I)

Lecture 30 Fuzzy Set Theory (I). Outline. Membership Function, Fuzzy Set Supports Fuzzy Set Operations, Alternative Operations Fuzzy Propositions Linguistic Variable Modifiers (Hedges) Fuzzy Relations. Fuzzy Proposition.

538 views • 13 slides

SOCIOLINGUISTIC THE QUANTITATIVE STUDY OF SPEECH SAIDNA ZULFIQAR BIN TAHIR

SOCIOLINGUISTIC THE QUANTITATIVE STUDY OF SPEECH SAIDNA ZULFIQAR BIN TAHIR STATE UNIVERSITY OF MAKASSAR 2011. CONTENTS. INTRODUCTION The scope of quantitative studies of speech Why Study speech quantitatively?. METHODOLOGY An Example : New York An Example: Norwich An Examples: Belfast.

121 views • 9 slides