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Materiały związane z fazą modelowania

Literature

1. Kacprzyk J.: Zbiory rozmyte w analizie systemowej, Państwowe Wydawnictwo Naukowe, Warszawa, 1986.

2. Kenarangui R.: Event-tree analysis by fuzzy probability, IEEE Transactions on Reliability, 1991, Vol. 40 No. 1, p. 120-124.

3. Rutkowska D., Piliński M., Rutkowski L.: Sieci neuronowe, algorytmy genetyczne i systemy rozmyte, Wydawnictwo Naukowe PWN, Warszawa-Łódź, 1997.

4. Rutkowski L., Metody i techniki sztucznej inteligencji, Wydawnictwo Naukowe PWN, Warszawa 2011.

5. Tanaka H., Fan L.T., Lai F. S., Toguchi K.: Fault-tree analysis by fuzzy probability, IEEE Transactions on Reliability, 1983, Vol. 32 No. 5, p. 453-457.

6. Tyagi S. K., Pandey D., Tyagi R.: Fuzzy set theoretic approach to fault tree analysis, International Journal of Engineering, Science and Technology, 2010, Vol. 2 No. 5, p. 276-283.

Table of Contents
maxLevel4

Excerpt

Fuzzy Reasoning

Description

Class supporting operation on fuzzy sets with trapezoid and triangle shapes. Supported sets of first and second type.

Fuzzy reasoning XML Specification

Fuzzy set main parameters:

   scale - LINEAR or LOGARITHMIC

   type - set type (FIRST or SECOND)

   length - distance between the points that characterize the lower and upper membership functions

   prob - lower limit for fuzzy set

Trapezoid

   a, b, c and d - trapezoid parameters

Fig 1. Trapezoid parameters

Code Block
languagexml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<paramTrapezoid>
    <scale>LINEAR</scale>
    <type>SECOND</type>
    <a>0.1</a>
    <b>0.2</b>
    <c>0.3</c>
    <d>0.4</d>
    <length>0.04</length>
    <prob>0.05</prob>
</paramTrapezoid>

Triangle

   a, b and c -  triangle parameters

Class diagram

Image Added