Static and dynamic modeling of multi-attribute systems by fuzzy signatures

OData support
Supervisor:
Dr. Kóczy László Tamás
Department of Telecommunications and Media Informatics

The appearance of soft computing methods - like evolutionory algorithms, fuzzy based systems, neural networks, etc. - has made it possible to give a near optimal solution much faster to highly complex decision making and optimalization problems.

This thesis firstly outlines the basic computing problems occuring in building refurbishment projects.

Next I examine the practical usage and possible applications of fuzzy based systems on real life problems.

I examine the combined application of fuzzy signatures, finite state machines and bacterial algorithms in building refurbishment projects, specifically in the process modelling and cost optimizing parts of the workflow.

In addition I give suggestions for a business quality software regarding these problems. I define a possible set of requirements and based on these I show the main design patterns and parts of the implementation.

The implemented solution makes the fuzzy and bacterial algorithm based computational models usable in various application areas.

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