MULTI-CRITERIA GROUP DECISION MAKING WITH HETEROGENEOUS INFORMATION BASED ON IDEAL POINTS CONCEPT
| Autor: | Chang-Yuan Gao, Ding-Hong Peng, Li-Li Zhai |
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| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
heterogeneous information
Weighted sum model Theoretical computer science General Computer Science Decision engineering multi–criteria group decision making (MCGDM) Weighted product model ideal points information uniform Decision rule computer.software_genre lcsh:QA75.5-76.95 Group decision-making Computational Mathematics ordered weighted distance (OWD) measure Fuzzy number Influence diagram decision attitude Data mining lcsh:Electronic computers. Computer science computer Mathematics Optimal decision |
| Zdroj: | International Journal of Computational Intelligence Systems, Vol 6, Iss 4 (2013) International Journal of Computational Intelligence Systems, Vol 6, Iss 4 (2017) |
| ISSN: | 1875-6883 |
| Popis: | This paper presents a flexible multi-criteria group decision making method based on ideal points concept, which can be used to deal with heterogeneous information(numerical, interval valued and linguistic variable with different granularity and/or semantic)and reflect the Decision Makers’ different decision attitudes. The heterogeneous information is homogenized firstly into linguistic variable characterized fuzzy number. To simplify the computations and improve the comprehensibility, the homogenized information is further transformed to the continue linguistic terms set. A new relative closeness measure based on ordered weighted distance is introduced to consider the decision Makers’ different decision attitudes. A numerical experiment is used to illustrate the feasibility of the proposed method. |
| Databáze: | OpenAIRE |
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