Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)

h k aggregation functions, measures and integrals

Authors
Fabio Rindone, Salvatore Greco
Corresponding Author
Fabio Rindone
Available Online August 2013.
DOI
https://doi.org/10.2991/eusflat.2013.90How to use a DOI?
Keywords
decision making fuzzy numbers uncertainty h k aggregation functions
Abstract
In many decision making problems evaluations with respect to several points of view (criteria) are ex-pressed by means of h interval (or fuzzy numbers). For example a pessimistic and an optimistic eval-uation generate an interval containing the exact evaluation. These situations reflect lack of infor-mation or uncertainty on the same evaluations. In this paper we discuss h k aggregation functions that aggregate several h interval evaluations into an overall evaluation, again expressed in terms of a k interval.
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Volume Title
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90786-77-78-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/eusflat.2013.90How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Fabio Rindone
AU  - Salvatore Greco
PY  - 2013/08
DA  - 2013/08
TI  - h k aggregation functions, measures and integrals
BT  - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SP  - 630
EP  - 636
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.90
DO  - https://doi.org/10.2991/eusflat.2013.90
ID  - Rindone2013/08
ER  -