A Neural Fuzzy Decision System (Report, Diploma-thesis & Software)

[Uwe R. Zimmer, AG vP]

Due to a couple of requests, we have made the complete diploma-thesis
of Joerg Bruske ("Neural Fuzzy Decision Systems") available for
ftp-access.

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--- Neural Fuzzy Decision System (Report, Diploma-thesis & Software):
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--- Associated report is:

   FTP-Server is: ag_vp_file_server.informatik.uni-kl.de
   Mode is      : binary
   Directory is : Neural_Networks/Reports
   File name is : Zimmer.NFDS.ps.Z

                              SPIN-NFDS
             Learning and Preset Knowledge for Surface Fusion
                  - A Neural Fuzzy Decision System -

             Joerg Bruske, Ewald von Puttkamer & Uwe R. Zimmer
			 
The problem to be discussed in this paper may be characterized in short by
the question: "Are these two surface fragments belonging together (i.e.
belonging to the same surface)?". The presented techniques try to benefit
from some predefined knowledge as well as from the possibility to refine
and adapt this knowledge according to a (changing) real environment,
resulting in a combination of fuzzy-decision systems and neural networks.
The results are encouraging (fast convergence speed, high accuracy), and
the model might be used for a wide range of applications. The general frame
surrounding the work in this paper is the SPIN-project, where emphasis is
on sub-symbolic abstractions, based on a 3-d scanned environment.

--- SPIN-NFDS: the diploma thesis by Joerg Bruske:

   FTP-Server is : ag_vp_file_server.informatik.uni-kl.de
   Mode is       : binary
   Directory is  : Neural_Networks/Reports/Bruske.Diploma-thesis
   File names are: *.ps.Z

The complete diploma thesis gives more precise information about the 
state-of-the-art in neural fuzzy decision systems, an introduction to fuzzy
logic and neural nets and much more.

--- Source code and technical documentation:

   FTP-Server is: ag_vp_file_server.informatik.uni-kl.de
   Mode is      : binary
   Directory is : Neural_Networks/Software/Neural_Fuzzy_Decision

This documentation consists of five chapters:
In Chapter 1, the author presents his approach towards implementing fuzzy
decision systems (FDS) by means of neural nets, leading to his NFDS. In
order to train (optimize) the NFDS, a slightly modified version of the
backpropagation algorithm is introduced.
In Chapter 2, the FuzNet project and its modules are described in detail.
FuzNet implements the NFDS described in Chapter 1 on Apple-Macintosh
computers and has been developed as an easy-integrable SW-component for
larger SW-projects.
In Chapter 3, we will be concerned with the details of the integration of
FuzNet in other SW-projects, taking SurfaceExtractor as an example.
However, the reader need not know the SurfaceExtractor project (which
currently is not supplied via ftp) in order to understand the details of
integrating FuzNet in their projects.
In Chapter 4, the FuzTest application is described. FuzTest is a very
primitive application intended to familiarize the user with FuzNet.
In Chapter 5, the reader will find the syntax diagram for fuzzy data- and
rule- bases as accepted by FuzNet. The file "brakingFDS" contains such a
fuzzy data- and rule- base.
A references list concerning literature about neural nets, fuzzy logic and
neural fuzzy decision systems is appended to this documentation. In
particular, [Bruske93] is recommended for a detailed discussion of neural
fuzzy decision systems and [BruPuttZi93] as a short introduction to NFDS
and one of its applications in the Research Group v. Puttkamer.


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                                                       ----- 
   Uwe R. Zimmer                                              ---
     University of Kaiserslautern - Computer Science Department  |
     Research Group Prof. v. Puttkamer                           |
   67663 Kaiserslautern - Germany                                |
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    P.O.Box:3049 | Phone:+49 631 205 2624 | Fax:+49 631 205 2803 |