Fuzzified Choquet integral: a way to model interacting criteria in decision making
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F10%3A10212457" target="_blank" >RIV/61989592:15310/10:10212457 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Fuzzified Choquet integral: a way to model interacting criteria in decision making
Original language description
Aggregation operator commonly used in multiple criteria decision making (MCDM), weighted average, is based on the assumption that criteria do not interact. In the paper we demonstrate that Choquet integral (CI), as a generalization of weighted average, can handle two types of interactions: synergy and redundancy. The paper is focused on the application of fuzzified Choquet integral (FCI) to MCDM. We consider the scenarios, when partial evaluations as well as weights of sets of partial goals are expressed by fuzzy numbers. In the paper we propose ways of constructing the fuzzy and fuzzy-number-valued fuzzy measures.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 28th International Conference on Mathematical Methods in Economics 2010
ISBN
978-80-7394-218-2
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
—
Publisher name
Jihočeská univerzita
Place of publication
České Budějovice
Event location
České Budějovice
Event date
Sep 8, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
—