h k aggregation functions, measures and integrals
Fabio Rindone, Salvatore Greco
Available Online August 2013.
- https://doi.org/10.2991/eusflat.2013.90How to use a DOI?
- decision making fuzzy numbers uncertainty h k aggregation functions
- 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.
- 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 -