Multicriteria Fuzzy Sets Application in Economic Clustering Problems

Irina Radeva

doi:10.1515/cait-2017-0028

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Multicriteria Fuzzy Sets Application in Economic Clustering Problems

Cybernetics and Information Technologies

Volume 17 (2017): Issue 3 (September 2017)

By: Irina Radeva

Open Access

|Oct 2017

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.

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Articles in this issue

DOI: https://doi.org/10.1515/cait-2017-0028 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702

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Language: English

Page range: 29 - 46

Published on: Oct 4, 2017

Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Multi-criteria decision,

fuzzy sets algorithms,

intercriteria analysis,

small and medium-sized enterprises,

economic clustering

Related subjects:

Computer sciences,

Information technology

© 2017 Irina Radeva, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 17 (2017): Issue 3 (September 2017)