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| Title: | The Generalized Model For Multi Attributes Decision Making In a Fuzzy Environment |
| Authors: | Sudaryanto, Sudaryanto |
| Keywords: | Fuzzy sets theory fuzzy decision making multi criteria |
| Issue Date: | 24-Aug-2004 |
| Publisher: | Universitas Gunadarma |
| Series/Report no.: | Proceedings, Komputer dan Sistem lntelijen (KOMMIT2004); |
| Abstract: | As the nature of some decision problems has changed considerably, a serious doubts have been also raised as to the adequacy of many classical methods and their solution techniques due to the facts that much of the decision-making problems in the real world take place in an environment in which the goals, the constraints and the consequences of possible actions are not known precisely. Ts* application of classical multi criteria methods may face serious practical constraints, due to imprecision or fuzziness inherent in the information. Therefcre, the application of fuzzy set theory in the field of multi criteria decision making is justified The attitude towards fuzziness and subjectivity inherent in the process decision snaking has led to the new era of study applyingfuzzy sets theory in the decision making area known as Fuzzy Multi Criteria Decision Making (Fuzzy-MCDM). The fuzzy¬MCDM method have basically been developed along the same lines with classical MCDM method, but are designed with the help of fuzzy set theory to deal specifically with MCDM problems containing fuzzy data
This alternative approach provides a consistent representation of qualitatively or linguistically formulated information in a way that still allows the use of precise operators and algorithms. The application offuzzy set theory will facilitate in formulating a complex, ill-defined and subjectively perceived decision problem in an appropriate manner in such a way without make a simplification, but still in an intellectually and scientifically acceptable. The proposed method include process for identifying, measuring and aggregating criteria of alternatives to create a conceptual model for decision and evaluation in fuzzy environment. |
| URI: | http://hdl.handle.net/123456789/3280 |
| ISSN: | 1411-6286 |
| Appears in Collections: | Published Article Komputer
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