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Issue:Discussion on the threshold values in the InterCriteria Decision Making approach: Difference between revisions

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Revision as of 18:23, 8 May 2014

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Title of paper: Discussion on the threshold values in the InterCriteria Decision Making approach
Author(s):
Vassia Atanassova
Institute of Biophysics and Biomedical Engineering and Institute of Information and Communication Technologies, Bulgarian Academy of Sciences
vassia.atanassova@gmail.com
Deyan Mavrov
Prof. Asen Zlatarov University, Burgas–8000, Bulgaria
dg@mavrov.eu
Lyubka Doukovska
Institute of Information and Communication Technologies, Bulgarian Academy of Sciences
doukovska@iit.bas.bg
Krassimir Atanassov
Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. Georgi Bonchev Str., block 105, Sofia 1113, Bulgaria
krat@bas.bg
Published in: "Notes on IFS", Volume 20, 2014, Number 2, pages 69-74
Download:  PDF (144  Kb, Info)
Abstract: Here we discuss an important aspect of the InterCriteria Decision Making approach, related to the possibilities for defining the intuitionistic fuzzy threshold values that help discriminate between the positive consonance, the negative consonance and the dissonance between the criteria. In our previous research, we used to set thee thresholds to predefined values in the [0; 1]-interval, changing with a step of 0.1, 0.05, or 0.025, according to the desired precision, but we have observed some flaws in this approach, and suggest new, more accurate, ways to determine these values. We use as example data sets, derived from the World Economic Forum’s annual Global Competitiveness Reports, for the 28 European Union Member States between 2008 and 2014 year.
Keywords: Global Competitiveness Index, Index matrix, Intercriteria decision making, Intuitionistic fuzzy sets, Multicriteria decision making, Correlation.
AMS Classification: 03E72
References:
  1. Atanassov, K., D. Mavrov, V. Atanassova (2013). Intercriteria decision making. A new approach for multicriteria decision making, based on index matrices and intuitionistic fuzzy sets. Proc. of 12th International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, 11 Oct. 2013, Warsaw, Poland (in press).
  2. Atanassova, V., L. Doukovska, K. Atanassov, D. Mavrov (2014) Intercriteria Decision Making Approach to EU Member States Competitiveness Analysis. Proc. of 4th Int. Symp. on Business Modelling and Software Design, Luxembourg, 24–26 June 2014 (in press).
  3. Atanassova, V., L. Doukovska, D. Mavrov, K. Atanassov, Intercriteria Decision Making Approach to EU Member States Competitiveness Analysis: Temporal and Threshold Analysis. Proc. of 7th Int. IEEE Conference on Intelligent Systems, Warsaw, 24–26 Sept. 2014 (submitted).
  4. World Economic Forum (2008, 2013). The Global Competitiveness Reports. http://www.weforum.org/issues/global-competitiveness.
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