On efficiency-oriented support of consensus reaching in a group of agents in a fuzzy environment with a cost based preference updating approach
PBN-AR
Instytucja
Wydział Fizyki i Informatyki Stosowanej (Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie)
Książka
Tytuł książki
2014 IEEE symposium on Computational Intelligence for Human-like Intelligence (CIHLI) [Dokument elektroniczny]. [December 9–12, 2014, Orlando, USA] : proceedings
Data publikacji
2014
ISBN
978-1-4799-4507-8
Wydawca
IEEE
Publikacja
Główny język publikacji
EN
Tytuł rozdziału
On efficiency-oriented support of consensus reaching in a group of agents in a fuzzy environment with a cost based preference updating approach
Rok publikacji
2014
Strony (od-do)
15--21
Numer rozdziału
Link do pełnego tekstu
Identyfikator DOI
Liczba arkuszy
0.5
Hasło encyklopedyczne
Autorzy
(liczba autorów: 3)
Pozostali autorzy
+ 2
Autorzy przekładu
(liczba autorów przekładu: 0)
Słowa kluczowe
EN
fuzzy logic
consensus
consensus reaching
group decision making
group decision support
fuzzy preference
fuzzy majority
linguisticn quantifier
Konferencja
Indeksowana w Scopus
tak
Indeksowana w Web of Science Core Collection
tak
Liczba cytowań z Web of Science Core Collection
Nazwa konferencji (skrócona)
CIHLI
Nazwa konferencji
2014 IEEE symposium on Computational Intelligence for Human-like Intelligence
Początek konferencji
2014-12-09
Koniec konferencji
2014-12-12
Lokalizacja konferencji
Orlando
Kraj konferencji
US
Lista innych baz czasopism i abstraktów w których była indeksowana
Streszczenia
Język
EN
Treść
We further develop our model of consensus reaching, and its related decision support system, that is based on the concept of a soft degree of consensus proposed by Kacprzyk and Fedrizzi, the idea of fuzzy preferences, and Kacprzyk's fuzzy majority. We assume that the process of consensus reaching proceeds in a (small) group of agents (decision makers, experts,.) who express their testimonies with respect to a set of options in the form of fuzzy preferences. We develop tools and techniques to extract from those data, and from the consecutive steps (dynamics) of the consensus reaching process, some additional information which is assumed in a human consistent form of linguistic summaries that can be derived by using natural language generation (NLG). This information is meant to accelerate the consensus reaching process by pointing out to those individuals for whom the changed of testimonies, and with respect to specific pairs of options, can have the highest impact on the degree of consensus. It is therefore explicitly efficiency oriented. We assume a moderated consensus reaching process run by a specialized "super-agent", a moderator. In this paper we further extend a model and implementation of such a consensus reaching process proposed in our previous papers. We further develop linguistic tools and techniques, in the form of linguistic summaries, to help grasp relations and interplay between the agents' testimonies and their dynamics numerically analyzed by additional indicators pointing out agents and options that are most promising for the changes of preferences. We proposed a cost based scheme for the evaluation of preference updating so that the agents be not forced to change too often and too many of their preferences, which is not usually welcome by people for psychological reasons, and which should contribute to their better collaboration.
Cechy publikacji
chapter-in-a-book
peer-reviewed
Inne
System-identifier
idp:102773