Deriving efficacy from basic uncertain information and uncertain Choquet Integral

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F23%3A73617150" target="_blank" >RIV/61989592:15310/23:73617150 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.tandfonline.com/doi/full/10.1080/03081079.2022.2104268" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/03081079.2022.2104268</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/03081079.2022.2104268" target="_blank" >10.1080/03081079.2022.2104268</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Deriving efficacy from basic uncertain information and uncertain Choquet Integral

Popis výsledku v původním jazyce

Basic Uncertain Information (BUI) as a newly introduced concept generalized a wide range of uncertain information. We discuss and compare some methods to derive efficacy from given BUI collection, which is helpful in decision aid. With BUI collection, we also discuss the technique of using Choquet Integral to aggregate those BUI and return closed intervals as final aggregation results, and the whole aggregation is then called Uncertain Choquet Integral. We also discuss Uncertain Choquet Integral with preference, which considers all the information about optimistic/pessimistic preferences of decision makers and in given fuzzy measure. Uncertain Choquet Integral with preference returns real value result instead of closed interval, and it is a type of generalization of Choquet Integral (when all value information are certain) which can be well used in uncertain information environments.

Název v anglickém jazyce

Deriving efficacy from basic uncertain information and uncertain Choquet Integral

Popis výsledku anglicky

Basic Uncertain Information (BUI) as a newly introduced concept generalized a wide range of uncertain information. We discuss and compare some methods to derive efficacy from given BUI collection, which is helpful in decision aid. With BUI collection, we also discuss the technique of using Choquet Integral to aggregate those BUI and return closed intervals as final aggregation results, and the whole aggregation is then called Uncertain Choquet Integral. We also discuss Uncertain Choquet Integral with preference, which considers all the information about optimistic/pessimistic preferences of decision makers and in given fuzzy measure. Uncertain Choquet Integral with preference returns real value result instead of closed interval, and it is a type of generalization of Choquet Integral (when all value information are certain) which can be well used in uncertain information environments.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

INTERNATIONAL JOURNAL OF GENERAL SYSTEMS

ISSN

0308-1079

e-ISSN

1563-5104

Svazek periodika

52

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

14

Strana od-do

72-85

Kód UT WoS článku

000839551600001

EID výsledku v databázi Scopus

2-s2.0-85135824040