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SELECTION OF SIMULATION VARIANCE REDUCTION TECHNIQUES THROUGH A FUZZY EXPERT SYSTEM
 

Summary: SELECTION OF SIMULATION VARIANCE REDUCTION TECHNIQUES
THROUGH A FUZZY EXPERT SYSTEM
by
Adrian Aderemi Adewunmi, BSc
Thesis submitted to the
University of Nottingham
for the degree of Doctor of Philosophy
September 2008
ABSTRACT
SELECTION OF SIMULATION VARIANCE REDUCTION TECHNIQUES
THROUGH A FUZZY EXPERT SYSTEM
Adrian Aderemi Adewunmi, BSc
In this thesis, the design and development of a decision support system
for the selection of a variance reduction technique for discrete event simula-
tion studies is presented. In addition, the performance of variance reduction
techniques as stand alone and combined application has been investigated.
The aim of this research is to mimic the process of human decision mak-
ing through an expert system and also handle the ambiguity associated with
representing human expert knowledge through fuzzy logic. The result is a
fuzzy expert system which was subjected to three different validation tests,

  

Source: Aickelin, Uwe - School of Computer Science, University of Nottingham

 

Collections: Computer Technologies and Information Sciences