<abstract xmlns="http://www.w3.org/1999/xhtml"><p> This paper proposes a new TOPSIS with interval type-2 fuzzy numbers. The extension applies graded mean integration to compare normal fuzzy trapezoidal sets. It is demonstrated by a numerical example for ranking business intelligence software that the TOPSIS modification can operate with qualitative and quantitative criteria, reduces evaluation uncertainty and provides a feasible solution.</p></abstract>

This paper proposes a new TOPSIS with interval type-2 fuzzy numbers. The extension applies graded mean integration to compare normal fuzzy trapezoidal sets. It is demonstrated by a numerical example for ranking business intelligence software that the TOPSIS modification can operate with qualitative and quantitative criteria, reduces evaluation uncertainty and provides a feasible solution.

TOPSIS Modification with Interval Type-2 Fuzzy Numbers

University of Plovdiv “Paisii Hilendarski”, Plovdiv, Bulgaria

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"TOPSIS Modification with Interval Type-2 Fuzzy Numbers"}

This paper proposes a new TOPSIS with interval type-2 fuzzy numbers. The extension applies graded mean integration to compare normal fuzzy trapezoidal sets. It...

TOPSIS Modification with Interval Type-2 Fuzzy Numbers

Data publikacji: 22 cze 2016

Zakres stron: 60 - 68

DOI: https://doi.org/10.1515/cait-2016-0020

Słowa kluczowe
Multi-criteria decision making, TOPSIS, interval type-2 fuzzy sets, business intelligence

© by Galina Ilieva

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

TOPSIS Modification with Interval Type-2 Fuzzy Numbers

Data publikacji: 22 cze 2016

Zakres stron: 60 - 68

DOI: https://doi.org/10.1515/cait-2016-0020

Słowa kluczoweMulti-criteria decision making, TOPSIS, interval type-2 fuzzy sets, business intelligence

© by Galina Ilieva

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Słowa kluczowe
Multi-criteria decision making, TOPSIS, interval type-2 fuzzy sets, business intelligence