Use this url to cite publication: https://cris.mruni.eu/cris/handle/007/26456
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MULTIMOORA-IFN
Type of publication
Straipsnis Web of Science ir Scopus duomenų bazėje / Article in Web of Science and Scopus database (S1)
Author(s)
Baležentis, Tomas | Lietuvos agrarinės ekonomikos institutas |
Zeng, Shouzhen | Zhejiang University of Finance and Economics |
Title
MULTIMOORA-IFN
Publisher (trusted)
Academy of Economic Studies |
Date Issued
2014
Extent
p. 85-102
Is part of
Economic computation and economic cybernetics studies and research. Bucharest : Academy of Economic Studies, 2014, vol. 48, no. 4.
Field of Science
Abstract
The paper presents a multi-criteria decision making method to tackle intuitionistic fuzzy numbers, namely MULTIMOORA-IFN. Being an extension of the crisp MULTIMOORA method, the MULTIMOORA-IFN is designed to facilitate group decision making with uncertain information. The proposed methods consists of the three parts-the Ratio System, the Reference Point, and the Full Multiplicative Form-specific with different aggregation techniques. Furthermore, the robustness of the decision making process can be improved by employing ordered aggregation operators, for instance an intuitionistic fuzzy power ordered weighted average operator or an intuitionistic fuzzy power ordered weighted geometric operator. A numerical simulation exhibits the possibilities for application of the proposed method.
Is Referenced by
Type of document
type::text::journal::journal article::research article
ISSN (of the container)
0424-267X
1842-3264
WOS
000346684700005
eLABa
8667462
Coverage Spatial
Rumunija / Romania (RO)
Language
Anglų / English (en)
Bibliographic Details
23
Date Reporting
2015
| Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
|---|---|---|---|---|---|---|---|---|
Economic Computation and Economic Cybernetics Studies and Research | 0.317 | 1.402 | 1.336 | 1.468 | 2 | 0.232 | 2015 | Q4 |
| Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
|---|---|---|---|---|---|---|---|---|
Economic Computation and Economic Cybernetics Studies and Research | 0.317 | 1.468 | 1.468 | 1.468 | 1 | 0.216 | 2015 | Q4 |
| Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
|---|---|---|---|---|---|---|---|---|
Economic Computation and Economic Cybernetics Studies and Research | 0.317 | 1.336 | 1.336 | 1.336 | 1 | 0.237 | 2015 | Q4 |