DocumentCode
3281772
Title
Improving Support of Appropriate Executive Decisions by Combining Artificial Immune Systems and Fuzzy Logic
Author
Caldas, Bernardo J B ; Oliveira, Flávio R S ; Neto, Filipe
fYear
2008
fDate
26-30 Oct. 2008
Firstpage
99
Lastpage
104
Abstract
This paper presents a novel approach to support appropriateness of executive decisions by using combined principles of Artificial Immune System (AIS) and Fuzzy Logic (FL). The main goal is to show that more Appropriate Executive Decisions (AED) may be obtained if strategic decision makers are equipped with supportive tools based on AIS and FL (Fuzzy-AED). In addition, this work aims at improving the quality of the system response by adding new features to the original version of the AED model. A proof of concept for Fuzzy-AED is also included here along with experiments carried out within a real business environment. Experimental results suggest that this hybrid approach to executive decision making could be used to assemble helpful executive decision systems that may be easily deployed to reduce some of the risks inherent in strategic decision making.
Keywords
artificial immune systems; decision making; fuzzy logic; appropriate executive decisions; artificial immune systems; executive decision systems; fuzzy logic; strategic decision makers; strategic decision making; Artificial immune systems; Artificial neural networks; Cloning; Competitive intelligence; Computer networks; Decision making; Fuzzy logic; Immune system; Pathogens; Uncertainty; Appropriate Executive Decisions; Artificial Immune Systems; Decision Support Systems; Fuzzy Logic;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2008. SBRN '08. 10th Brazilian Symposium on
Conference_Location
Salvador
ISSN
1522-4899
Print_ISBN
978-1-4244-3219-6
Electronic_ISBN
1522-4899
Type
conf
DOI
10.1109/SBRN.2008.13
Filename
4665899
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