Fuzzification of Aggregation Operators Based on Choquet Integral

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F08%3A00010844" target="_blank" >RIV/61989592:15310/08:00010844 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Fuzzification of Aggregation Operators Based on Choquet Integral

Original language description

This paper deals with a two-level fuzzification of two classes of aggregation operators representing special cases of the Choquet integral ? the weighted average and the ordered weighted average (OWA). The first level of fuzzification means that only values that are to be aggregated are fuzzy. On the second level, also weights are uncertain, modeled by fuzzy numbers. Algorithms for computing the first-level fuzzy averages are described and illustrated by examples. Mathematical models of computing second-level fuzzy averages are presented too, and a new effective algorithm for the second-level fuzzy OWA operator is proposed. Utilization of the aggregation operators in the models of multiple criteria decision making, decision making under risk, and decision making under uncertainty is explained.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

—

Project

—

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2008

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of 7th international conference on Applied Mathematics (Aplimat 2008)

ISBN

978-80-89313-03-7

ISSN

—

e-ISSN

—

Number of pages

1224

Pages from-to

—

Publisher name

Slovenská technická univerzita

Place of publication

Bratislava

Event location

—

Event date

—

Type of event by nationality

—

UT code for WoS article

—