Effective Business Plan Evaluation using an Evolutionary Ensemble

G. Dounias, A. Tsakonas, D. Charalampakis, E. Vasilakis


The paper proposes the use of evolving intelligent techniques, for effective business decision making related to strategic management. Under the current competitive environment, business plans appraisal arises as an important task for bankers, investors, venture capital fund managers and consultants among others. The process of business plans assessment requires various technical competencies, market awareness and adequate experience, thus increasing the relevant operating costs. A conceptual model for the evaluation of business plans is being proposed, with the use of both numerical and qualitative parameters, clustered under four headings. The input data is processed with the comparative use of ensembles of evolutionary classifiers, and an intelligent model of business plans’ appraisal is built. The reliability and the accuracy of the results are considered satisfactory by the subject matter experts.


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Paper Citation

in Harvard Style

Dounias G., Tsakonas A., Charalampakis D. and Vasilakis E. (2013). Effective Business Plan Evaluation using an Evolutionary Ensemble . In Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA, ISBN 978-989-8565-67-9, pages 97-103. DOI: 10.5220/0004491400970103

in Bibtex Style

author={G. Dounias and A. Tsakonas and D. Charalampakis and E. Vasilakis},
title={Effective Business Plan Evaluation using an Evolutionary Ensemble},
booktitle={Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA,},

in EndNote Style

JO - Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA,
TI - Effective Business Plan Evaluation using an Evolutionary Ensemble
SN - 978-989-8565-67-9
AU - Dounias G.
AU - Tsakonas A.
AU - Charalampakis D.
AU - Vasilakis E.
PY - 2013
SP - 97
EP - 103
DO - 10.5220/0004491400970103