Description
Granular computing offers a framework of theories, methodologies, techniques, and tools that allows the use of information granules in the process of problem solving. The information granules emerge as the key components of knowledge representation and processing being the granularity level of the information granules crucial to the problem description and to an overall strategy of problem solving. Granular computing has a significant impact on the design and implementation of intelligent systems. This course offers a broad introduction to the field of Granular Computing placing the emphasis on the fundamentals and methodology of Granular Computing based on interval analysis, fuzzy sets and rough sets.
Objectives
Students should be able to:
- Formulate and assess problems in granular computing.
- Assess the strengths and weaknesses of several approaches to granular computing.
- Assess and understand the key commonalities, synergies and differences in various granular computing approaches.
- Apply granular computing techniques to problems such as data mining, automatic control, and image processing.
Students will implement some of these techniques and present latest achievements in the field.
Topics to be covered
Fundamentals and methodology of Granular Computing. Interval analysis. Fuzzy sets. Rough sets. Hybrid Methods. Applications and case studies. Current trends of investigation.
Student Assessment
Oral discussion of the main topics and class participation (quasi-weekly assignments): 30%
- Book chapters
- Papers
- Reviews
Project proposal: 10%
Project report: 50%
Project presentation:10%
Instructor Information
Prof. Paulo Fazendeiro
Office: Room 4.12
Email: pandre (at) di.ubi.pt
URL: http://www.di.ubi.pt/~pandre
Class: Wednesday, 10h-11h
Office hours: Tuesday, 17h-18h or by email appointment
Resources and references
Scientific papers available at
Serviços de Documentação - Biblioteca da Universidade da Beira Interior.
Handbook of Granular Computing. Witold Pedrycz, Andrzej Skowron, and Vladik Kreinovich, editors. Wiley, July 2008.
Novel developments in granular computing: applications for advanced human reasoning and soft computation. JingTao Yao, editor. IGI Global, 2010.
How to Read a Paper. S. Keshav. ACM SIGCOMM Computer Communication Review 37(3) 83-84, 2007.
News :
20.02.2011. The course's homepage is online.
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