Nonlinearity of human multi-criteria in decision-making

• Autorzy: Piegat A. , Sałabun W.
• Języki publikacji: EN

Abstrakty

EN

In most cases, known methods of multi-criteria decision-making are used in order to make linear aggregation of human preferences. Authors of these methods seem not to take into account the fact that linear functional dependences rather rarely occur in real systems. Linear functions rather imply a global character of multi-criteria. This paper shows several examples of human nonlinear multi-criteria that are purely local. In these examples, the nonlinear approach is used based on fuzzy logic. It allows for better understanding of how important is the non-linear aggregation of human multi-criteria. The paper contains also proposal of an indicator of nonlinearity degree of the criteria. The presented results are based on investigations and experiments realized by authors.

Słowa kluczowe

EN

multi-criteria analysis; multi-criteria decision analysis; nonlinear multicriteria; fuzzy multi-criteria; indicator of nonlinearity

• Wydawca: Komisja Informatyki Polskiej Akademii Nauk, Oddział w Gdańsku
• Czasopismo: Journal of Theoretical and Applied Computer Science
• Rocznik: 2012
• Tom: Vol. 6, nr 3
• Strony: 36--49
• Opis fizyczny: Bibliogr. 18 poz., rys., tab.

Twórcy

autor

Piegat A.

autor

Sałabun W.

• Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland,

Bibliografia

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