Fuzzy Set Analysis - 1 day short course
4th June 2010
CCSR, University of Manchester
£175 (£125 for those from educational institutions)
Course Summary
This course aims to:
- Introduce concepts of fuzzy and crisp sets
- Study causality using truth tables
- Calibrate ranked data
- Reduce truth tables using Boolean algebra
- Study causality using fuzzy set data
Learning Outcomes
Students will learn to:
- Contrast fuzzy sets with other methods
- Explain the epistemology of causal analysis with fuzzy sets
- Use Boolean algebra with ordinal data
- Critically compare the expert knowledge of a statistician and a fuzzy set analyst
- Explain how a given level of one or more fuzzy sets can be a sufficient condition for a fuzzy outcome
Course Content
- Lecture on fuzzy sets in comparative research
- Practical on creating and calibrating fuzzy sets (uses SPSS and FS-QCA software)
- Lecture on Boolean algebra and reducing truth tables
- Practical on qualitative comparative analysis, using FS-QCA and Tosmana software
- Practical on analysing fuzzy set data using nested sorts (uses STATA software, Excel and STAT-Transfer)
For further information and booking, please visit http://www.ccsr.ac.uk/courses/modelling/fuzzyset.html
Or email: [log in to unmask]
Katey Matthews
CCSR
University of Manchester
Ground Floor, Humanities Bridgeford Street
Oxford Road
Manchester
M13 9PL
Tel: 0161 275 4736
Fax: 0161 275 4722
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