Towards a New Generation of Indicators for Consensus Reaching Support Using Type-2 Fuzzy Sets

Autor:	Janusz Kacprzyk, Witold Pedrycz, Sławomir Zadrożny
Rok vydání:	2010
Předmět:	Theoretical computer science Fuzzy classification business.industry Fuzzy set Type-2 fuzzy sets and systems Machine learning computer.software_genre Defuzzification Group decision-making Fuzzy set operations Fuzzy number Artificial intelligence business computer Membership function Mathematics
Zdroj:	Communications in Computer and Information Science ISBN: 9783642140570 IPMU (2)
Popis:	In this paper, we consider group decision making setting and propose a novel concept of indicators which are meant to guide the discussion in the group that should lead to consensus. Preferences of the group members are assumed to be fuzzy sets of options. The proposed indicators help analyze the structure of preferences in the group. Their derivation is expressed as an optimization problem. The preferences of a member of the group are finally represented as type-2 fuzzy sets (and interval-valued fuzzy sets, in particular). It is shown that this higher order construct plays a pivotal role in the quantification of variability present in the preferences of the group members. We introduce a constructive way of estimation of type-2 membership functions by invoking a principle of justifiable granularity.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::cf0808e495a641cc164780fc831b6136 https://doi.org/10.1007/978-3-642-14058-7_24 Zobrazit plný text záznamu