Abstract
The present work was developed to assist in the selection of projects in R & D for Electric Power companies in Brazil. On every evaluation system it is fundamental the correct selection of criteria, relevant and adequate for each situation. The normalization of such criteria will guarantee quality on the promotion of technological innovation in electric sector, which plays a key role for the integration of economic, social and environmental factors inside Electric Power Companies. Therefore, a project evaluation model was developed based on knowledge representation methodologies and multicriteria decision problem. This model used aspects from Albertyn, Saaty and Bueno to support the process of quality measurement of R&D Projects.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
ANEEL - Agência Nacional de Energia Elétrica. Atlas de Energia Elétrica do Brasil.ANEEL, Brasília: ANEEL (2002), www.aneel.gov.br/arquivos/PDF/livro_atlas.pdf (retrieved)
ANEEL - Agência Nacional de Energia Elétrica, Guia do avaliador de projetos de P&D:Programa de Pesquisa e Desenvolvimento Tecnológico do Setor de Energia Elétrica, p. 30. ANEEL, Brasília (2010)
Gusmão, A.P.H.: Modelo Multicritério para Priorização de Portfólio de Projetos de Pesquisa e Desenvolvimento. Recife. Dissertação (Mestrado em Engenharia de Produção) – Universidade Federal de Pernambuco, 101p. (2005)
Albertyn, F.: E-Process Selection using Case-Based Reasoning Techniques. In: IADIS International Conference E-Society 2007, Part of the IADIS MultiConference on Computer Science and Information Systems (MCCSIS 2007), Lisbon, Portugal, July 3-8 (2007), http://www.esocietyconf.org/ , http://www.mccsis.org
Albertyn, F.: A Decision Making Approach: a meta-model for e-process selection. In: IADIS International Conference e-Commerce, Freiburg, Germany, July 26-30 (2010) ISBN: 978-972-8939-24-3
Saaty, T.L.: Theory and Applications of the Analytic Network Process: Decision Making with Benefits, Opportunities, Costs, and Risks. RWS Publications, Pittsburgh (2005)
Saaty, T.L., Tran, L.T.: On the invalidity of fuzzifying numerical judgments in the Analytic Hierarchy Process. Mathematical and Computer Modelling 46, 962–975 (2007)
Saaty, T.L.: Extending the Measurement of Tangibles to Intangibles. International Journal of Information Technology & Decision Making 8(1), 7–27 (2009), SSRN: http://ssrn.com/abstract=1483438
Bueno, T.C.D., Stradiotto, C.R.K., Bedin, S.P.M., Mirapalheta, V.O., Hoeschl, H.C., de Oliveira, T.P.S., Athayde Filho, L.A.P., de Carvalho Jr., P.A.S.: Case-based System for Innovation Management in Electric Power Enterprises. In: Abramowicz, W., Tolksdorf, R., Węcel, K. (eds.) BIS 2010. LNBIP, vol. 57, pp. 3–6. Springer, Heidelberg (2010)
Bueno, T.C.D., Bueno, C.O., Zotti, A.I., Mirapalheta, V., Oliveira, T.P.S., Hoeschl, H.C.: Using Multi-Criteria Decision and Knowledge Representation Methodologies for Evaluation of Innovations Projetcs. Lecture Notes in Information Technology, vol. 14, pp. 1–621 (2012)
Bueno, C.O., Bueno, T.C.D., Hoeschl, H.C.: Ontologies to Automating Categorization of Innovation Projects in Knowledge-Based Systems. In: XXXVIII CLEI Conferencia Latinoamericana em Informática (Simposio Latinoamericano en Informática y Sociedad), Medellin, Colombia. ENTCS, pp. 482–490 (2012)
Buckley, J.J.: Fuzzy Hierarchical Analysis. Fuzzy Sets and Systems 17(3), 233–247 (1985)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bueno, T.C.D., Donatti, F.T., Oliveira, T.P.S., Zotti, A.I., Hoeschl, H.C. (2013). Analytic Hierarchy Process to Improve the Evaluation Process in R&D Management System. In: Abramowicz, W. (eds) Business Information Systems Workshops. BIS 2013. Lecture Notes in Business Information Processing, vol 160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41687-3_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-41687-3_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41686-6
Online ISBN: 978-3-642-41687-3
eBook Packages: Computer ScienceComputer Science (R0)