How to Obtain Appropriate Executive Decisions Using Artificial Immunologic Systems
DOI: 10.1007/978-3-540-73922-7_35 Conference: ICARIS
Available from: scirp.org
- "The authors came to a conclusion wherein AIS incorporating negative selection can be used as a filter or screening mechanism for invalid detectors instead of generating competent detectors. Caldas et al.proposed a variant of the negative selection algorithm where a repository database is used to store perceptible indexes of performance for an enterprise. There will be a set of cells known as decision cells which will be responsible for extracting decisions from the repository database and provide feedback about the decision to the repository database. "
Available from: Marcelo Pita
- "Indirectly, ε and ε c thresholds have a strong influence over the number of decision cells finally presented to decision-maker. For the purchasing problem explored in previous work  with cells of size ten receptors, we have analyzed the influence of ε and ε c thresholds over the number of cells generated. This work adds a new filter – the weighted Euclidian distance – to this selection stream in order to provide a more consistent set of cells to decisionmaker . "
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ABSTRACT: This paper presents an enhanced version of the AED (Appropriate Executive Decisions) algorithm, which is based on biological immune system (BIS) and whose purpose is the generation of appropriate executive decisions aimed at business environments. A new metric has been incorporated to the algorithm and a larger and more representative database was used to train and validate results. Moreover, this paper offers better directions on how to apply AED in executive decisions, affording the learning process quality improvement through immunoinformatics concepts, namely decision cells, thereby producing more appropriate executive decisions. Experiments were carried out with executive officers experienced in executive decisions in order to suitably validate the appropriateness of responses generated by the enhanced AED algorithm.
Available from: Fernando Buarque de Lima Neto
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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.
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