Issue:InterCriteria Analysis: Ideas and problems

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Title of paper: InterCriteria Analysis: Ideas and problems
Author(s):
Krassimir Atanassov
Bioinformatics and Mathematical Modelling Department, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., Sofia 1113, Bulgaria
Vassia Atanassova
Bioinformatics and Mathematical Modelling Department, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., Sofia 1113, Bulgaria
Georgi Gluhchev
Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 2 Acad. G. Bonchev Str., Sofia 1113, Bulgaria
Published in: "Notes on IFS", Volume 21, 2015, Number 1, pages 81—88
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Abstract: The basic concepts of the InterCriteria Analysis are given. Some possible forms of the scales for estimation of the degrees of consonance or dissonance between criteria, and their independence, are discussed. Some important open problems for the area of the InterCriteria Analysis are formulated.
Keywords: Consonance, Dissonance, Independence, InterCriteria Analysis.
AMS Classification: 03E72.
References:
  1. Atanassov, K. On Intuitionistic Fuzzy Sets Theory, 2012, Springer, Berlin.
  2. Atanassov, K. Index Matrices: Towards an Augmented Matrix Calculus, 2014, Springer, Cham.
  3. Atanassov, K., Mavrov, D., & Atanassova, V. (2014) Intercriteria Decision Making: A New Approach for Multicriteria Decision Making, Based on Index Matrices and Intuitionistic Fuzzy Sets. Issues in Intuitionistic Fuzzy Sets and Generalized Nets, 11, 1–8.
  4. Atanassova, V., Doukovska, L., Atanassov, K., & Mavrov, D. (2014) InterCriteria Decision Making approach to EU Member States Competitive Analysis. Proc. of 4th Int. Symposium on Business Modeling and Software Design, Luxembourg, Grand Duchy of Luxembourg, 24–26 June 2014, 289–294.
  5. Atanassova, V., Mavrov, D. Doukovska, L., & Atanassov, K. (2014) Discussion on the threshold values in the InterCriteria Decision Making approach. Notes on Intuitionistic Fuzzy Sets, 20(2), 94–99.
  6. Cramer, H. (1946) Mathematical Methods of Statistics, University of Stockholm, Stockholm.
  7. Johnson, N., & Leone, F. (1977) Statistics and Experimental Design, John Wiley & Sons, New York.
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