'Linguistic variables' presentation slideshows

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

850 views • 57 slides

Today

Today. Networks, Day 2: Milroy and Milroy, 1978: Social network as an analytical framework Social network as a speaker variable The Linguistic Consequences of Being a Lame. Social network: as a speaker variable. We can quantify individual's informal social contacts

497 views • 28 slides

Fuzzy Expert System

Fuzzy Expert System. Fuzzy Expert System. Fuzzy Sets Fuzzy representation in computer Linguistic variables and hedges Operations of fuzzy sets Fuzzy rules Reasoning with fuzzy rules Fuzzy inference Building fuzzy expert system. Basic Notions. Fuzzy Logic.

538 views • 23 slides

Pattern Discovery of Fuzzy Time Series for Financial Prediction

Pattern Discovery of Fuzzy Time Series for Financial Prediction. Chiung-Hon Leon Lee, Alan Liu, Member, IEEE, and Wen-Sung Chen Presenter: Bob Crichton. Problem. Investors want to maximize profit from stock sales Need to know when to buy and sell.

388 views • 21 slides

INTRODUCTION

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Language Variation

Language Variation. Sociolinguists today are more concerned with social variation in language than with regional variation. The study of language variation tells us important things about language and how they change. . Regional variation .

1.05k views • 20 slides

L23B: Sociolinguistics 2005-2006

L23B: Sociolinguistics 2005-2006. Please Turn off all cellular phones & pagers. L23B Website: www.mona.uwi.edu/dllp/courses/l23 b. Course Assessment. Incourse Test (40% of total grade) TEST DATE: MONDAY, APRIL 3, 2006 (2-4pm) Final Exam (60% of total grade). Topics for this Session.

174 views • 17 slides

CS344 Artificial Intelligence Prof. Pushpak Bhattacharya Class on 6 Mar 2007

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CS 344 Artificial Intelligence By Prof: Pushpak Bhattacharya Class on 15/Mar/2007

158 views • 7 slides

English accents

English accents. 5. Statistical analysis. variables: - linguistic e.g. phonological, syntactic, lexical - non-linguistic e.g. class, sex, age, region, ethnicity, style. Can we show associations between linguistic and non-linguistic variables?. e.g. between h-dropping and lower social class.

83 views • 7 slides

Supplier Selection and Demand Allocation

Supplier Selection and Demand Allocation. Amol Singh IIM Rohtak. Presentation Plan. Humanitarian Supply chain Literature Review Research Issues and objectives of the study Hybrid Fuzzy, TOPSIS and MILP Methodology Case Study Results and discussion

170 views • 0 slides