As of August 2024, International Journal "Notes on Intuitionistic Fuzzy Sets" is being indexed in Scopus.
Please check our Instructions to Authors and send your manuscripts to nifs.journal@gmail.com. Next issue: September/October 2024.

Open Call for Papers: International Workshop on Intuitionistic Fuzzy Sets • 13 December 2024 • Banska Bystrica, Slovakia/ online (hybrid mode).
Deadline for submissions: 16 November 2024.

Issue:Software for InterCriteria Analysis: Implementation of the main algorithm

From Ifigenia, the wiki for intuitionistic fuzzy sets and generalized nets
Revision as of 11:14, 29 August 2024 by Vassia Atanassova (talk | contribs) (Text replacement - ""Notes on IFS", Volume" to ""Notes on Intuitionistic Fuzzy Sets", Volume")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search
shortcut
http://ifigenia.org/wiki/issue:nifs/21/2/77-86
Title of paper: Software for InterCriteria Analysis: Implementation of the main algorithm
Author(s):
Deyan Mavrov
Laboratory of Intelligent Systems, University “Prof. Dr. Assen Zlatarov”, 1 “Prof. Yakimov” Blvd., Burgas 8010, Bulgaria
dg@mavrov.eu
Presented at: 19th International Conference on Intuitionistic Fuzzy Sets, 4–6 June 2015, Burgas, Bulgaria
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 21, 2015, Number 2, pages 77—86
Download:  PDF (244  Kb, File info)
Abstract: The InterCriteria Decision Making approach provides new ways to compare any two criteria, against which a set of objects have been evaluated. In order to test how this approach performs with different sets of data, a specialized software application has been developed, which takes two matrices of input data and outputs the intuitionistic fuzzy pairs that describe the intercriterial relationship as two tables. The application can work with Microsoft Excel workbooks or text files and provides ways to transfer the output data to other programs. It can also include functionality to display graphics of the output data.
Keywords: InterCriteria Decision Making, Index Matrix, Intuitionistic Fuzzy Pair, application software, C++, Qt.
AMS Classification: 03E72.
References:
  1. 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.
  2. Qt 5.4 Documentation: All Classes. (2015) The Qt Company Ltd. Retrieved on March 15, 2015 from http://doc.qt.io/qt-5/classes.html
  3. Office Automation Using Visual C++. (2015) Microsoft Knowledge Base. Retrieved on March 15, 2015 from https://support.microsoft.com/en-us/kb/196776
  4. Atanassov, K. (2014) Index Matrices: Towards an Augmented Matrix Calculus. Springer, Cham.
  5. Atanassov, K. (1999) Intuitionistic Fuzzy Sets: Theory and Applications. Springer Physica-Verlag, Heidelberg.
  6. Atanassov, K. (2012) On Intuitionistic Fuzzy Sets Theory. Springer, Berlin.
  7. Mavrov, D., Radeva, I., Capkovic, F., & Doukovska, L. (2015) Software for InterCriteria Analysis: Graphic Interpretation within the Intuitionistic Fuzzy Triangle. Proc. of 5th Int. Symp. on Business Modeling and Software Design, 6–8 July 2015, Milano (accepted).
  8. Atanassova, V., Doukovska, L., Atanassov, K., & Mavrov, D. (2014) InterCriteria Decision Making Approach to EU Member States Competitiveness Analysis. Proc. of 4th Int. Symp. on Business Modeling and Software Design, 24–26 Jun 2014, Luxembourg, 289–294.
  9. Atanassova, V., Doukovska, L., Mavrov, D., & Atanassov, K. (2014) InterCriteria Decision Making Approach to EU Member States Competitiveness Analysis: Temporal and Threshold Analysis. P. Angelov et al. (eds.), Intelligent Systems’2014, Advances in Intelligent Systems and Computing 322, 95–106.
  10. Atanassova, V., Doukovska, L., Karastoyanov, D., & Capkovic, F. (2014) InterCriteria Decision Making Approach to EU Member States Competitiveness Analysis: Trend Analysis. P. Angelov et al. (eds.), Intelligent Systems’2014, Advances in Intelligent Systems and Computing 322, 107–115.
Citations:

The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.