EIGENVECTOR METHOD IN MULTICRITERIA OUTRANKING RELATIONS

Autor:	Yoshio Tabata, Eiji Takeda
Rok vydání:	1995
Předmět:	Mathematical optimization Relation (database) Decision problem computer.software_genre Distillation method Fuzzy logic Ranking Artificial Intelligence Multiple criteria Data mining ELECTRE computer Software Eigenvalues and eigenvectors Information Systems Mathematics
Zdroj:	Cybernetics and Systems. 26:731-744
ISSN:	1087-6553 0196-9722
Popis:	Most complex decision problems involve conflicts among multiple criteria and uncertain and imprecise data. The (fuzzy) outranking relation model that was introduced by Roy can tackle such complex situations. The present paper proposes a new ranking procedure based on the eigenvector in multicriteria outranking relations. The properties of the eigenvector method in ordinary outranking relations are investigated. Then, the eigenvector method is compared to that of qualification by several examples. Finally, we compare the eigenvector method with the distillation method in ELECTRE III in fuzzy outranking relations. The results of the two methods did not exhibit significant differences. The eigenvector method turns out useful, because it can promote a complementary viewpoint.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3b8bbf7bf628f28a0431499d96383ccc https://doi.org/10.1080/01969729508927520 Zobrazit plný text záznamu