Multicriteria Fuzzy Sets Application in Economic Clustering Problems

Open access

Abstract

This paper presents an approach for small and medium-sized enterprises selection in economic clusters, where the problem of integration is defined as “ill structured under condition of uncertainty”. The proposed solution demonstrates applying several fuzzy multi-criteria decision making algorithms along with discussion over specific input data requirements. The results are compared with classical multi-criteria decision-making algorithm PROMETHEE II.

1. Angelova, V. Investigations in the Ares of Soft Computing. Targeted State of the Art Report. – Cybernetics and Information Technologies, Vol. 9, 2009, No 1, pp. 18-24. http://www.cit.iit.bas.bg/CIT_09/v9-1/18-24.pdf

2. Atanassova, V., L. Doukovska, A. Michalíková, I. Radeva. Intercriteria Analysis: From Pairs to Triples. – Notes on Intuitionistic Fuzzy Sets, Vol. 22, 2016, No 5, pp. 98-110.

3. Brans, J. P., B. Mareschal. The PROMCALC&GAIA Decision Support System for Multicriteria Decision Aid. – Decision Support Systems, North-Holland, Vol. 12, 1994, pp. 279-310.

4. Copland, T., T. Koller, J. Murrin. Valuation: Measure and Managing the Value of Companies. New York, John Wiley, 2002.

5. Kishor, D. R., N. B. Venkateswarlu. Hybridization of Expectation-Maximization and K-Means Algorithms for Better Clustering Performance. – Cybernetics and Information Technologies, Vol. 16, 2016, No 2, pp. 16-34.

6. Ilieva, G. Decision Making Methods in Agent Based Modeling. – In: Proc. of Workshop on Applications of Software Agents, 2011, pp. 8-17.

7. Ilieva, G. A Fuzzy Approach for Bidding Strategy Selection. – Cybernetics and Information Technologies, Vol. 12, 2012, No 1, pp. 61-69.

8. Ilieva, G. TOPSIS Modification with Interval Type-2 Fuzzy Numbers. – Cybernetics and Information Technologies, Vol. 16, 2016, No 2, pp. 60-68.

9. Ilieva, G. Group Decision Analysis with Interval Type-2 Fuzzy Numbers. – Cybernetics and Information Technologies, Vol. 17, 2017, No 1, pp. 31-44.

10. Georgieva, P., I. Popchev. Application of Q-Measure in a Real Time Fuzzy System for Managing Financial Assets. – International Journal of Soft Computing (IJSC), Vol. 3, 2012, No 4, pp. 21-38.

11. Georgieva, P., I. Popchev, S. Stoyanov. A Multi-Step Procedure for Asset Allocation in Case of Limited Resources. – Cybernetics and Information Technologies, Vol. 15, 2015, No 3, pp. 41-51.

12. Ghazanfari, M., S. Rouhani, M. Jafari. A Fuzzy TOPSIS Model to Evaluate the Business Intelligence Competencies of Port Community Systems. – Polish Maritime Research, Vol. 2, Vol. 21, 2014, No 82, pp. 86-96.

13. Herrera-Viedma, E., Herrera, F. Chiclana, M. Luque. Some Issues on Consistency of Fuzzy Preference Relations. – European Journal of Operational Research, 2004, pp. 98-109.

14. Mavrov, D., I. Radeva, K. Atanassov, L. Doukovska, I. Kalaykov. Inter Criteria Software Design: Graphic Interpretation within the Intuitionistic Fuzzy Triangle. – In: Proc. of International Symposium on Business Modeling and Software Design (BMSD’15), Milan, Italy, SCITEPRESS – Science and Technology Publications, 2015, pp. 279-283.

15. Popchev, I., V. Peneva. An Algorithm for Comparison of Fuzzy Sets. – Fuzzy Sets and Systems, Norht-Holland, Amsterdam, Vol. 60, 1993, No 1, pp. 59-65.

16. Peneva, V., I. Popchev. Fuzzy Ordering on the Base of Multicriteria Aggregation. – Cybernetics and Systems, Vol. 29, 1998, No 6, pp. 613-623.

17. Peneva, V., I. Popchev. Fuzzy Logic Operators in Decision-Making. – International Journal Cybernetics and Systems, Vol. 30, 1999, No 8, pp. 725-745.

18. Peneva, V., I. Popchev. Aggregation on Fuzzy Numbers in a Decision Making Situation. – Cybernetics and Systems, Vol. 32, 2001, Issue 8, pp. 871-885.

19. Peneva, V., I. Popchev. Aggregation of Fuzzy Relations Using Weighting Function. – Compt. Rend. Acad. bulg. Sci., Vol. 60, 2007, No 10, pp. 1047-1052.

20. Peneva, V., I. Popchev. Fuzzy Criteria Importance with Weighting Functions. – Comp. Rend. Acad. bulg. Sci. Vol. 61, 2008, No 3, pp. 293-300.

21. Peneva, V., I. Popchev. Models for Fuzzy Multicriteria Decision Making Based on Fuzzy Relations. – Compt. Rend. Acad. bulg. Sci., Vol. 62, 2009, No 5, pp. 551-558.

22. Peneva, I., I. Popchev. Fuzzy Multi-Criteria Decision Making Algorithms. – Comp. Rend. Acad. bulg. Sci., Vol. 63, 2010, No 7, pp. 979-991.

23. Popchev, I., I. Radeva. MAP-Cluster: An Approach for Latent Cluster Identification. – In: Proc. of Synergy of Computational Economics and Financial and Industrial Systems IFAC CEFIS’2007, 2007, Istanbul, pp. 63-67.

24. Porter, M. On Competition, Clusters and Competition: New Agendas for Companies, Governments, and Institutions. Boston, Harvard Business School Press, 1998.

25. Radeva, I. An Approach to Strategic Integration in Economic Clustering. – In: International Conference Automatics and Informatics’10, Sofia, 2010, pp. II-385-388.

26. Radeva, I. Strategic Integration with MAP – CLUSTER Software System. – Cybernetics and Information Technologies, Vol. 10, 2010, No 2, pp. 78-93.

27. Rouhani, S., M. Ghazanfari, M. Jafari. Evaluation Model of Business Intelligence for Enterprise Systems Using Fuzzy TOPSIS. – Expert Systems with Applications, Vol. 39, 2012, pp. 3764-3771.

28. Szmidt, E., J. Kacprzyk, K. Atanassov. Intuitionistic Fuzzy Modifications of Some Peneva-Popchev Formulas for Estimation of Preference Degree. Pary 1. – In: Issue in IFSs and GNs, Vol. 10, 2013, pp. 12-20.

29. InterCriteria Research Portal. http://www.intercriteria.net/publications

Cybernetics and Information Technologies

The Journal of Institute of Information and Communication Technologies of Bulgarian Academy of Sciences

Journal Information


CiteScore 2017: 0.52

SCImago Journal Rank (SJR) 2017: 0.204
Source Normalized Impact per Paper (SNIP) 2017: 0.397

Mathematical Citation Quotient (MCQ) 2017: 0.01

Metrics

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 94 94 12
PDF Downloads 31 31 3