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
Link To Document :
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