- Tytuł:
- Method of identifying a type 2 membership function and application to decision-making problems
- Autorzy:
- Uemura, Y.
- Powiązania:
- https://bibliotekanauki.pl/articles/970059.pdf
- Data publikacji:
- 2015
- Wydawca:
- Polska Akademia Nauk. Instytut Badań Systemowych PAN
- Tematy:
-
type 2 membership function
fuzzy linear regression model
fuzzy log-linear regression model
fuzzy linear polynomial regression model
indifferent zone
decision rule on a fuzzy event - Opis:
- Tanaka (1991) suggested that the parameters of a linear regression model should be made fuzzy In order to better reflect the nature of the system, involving a definite degree of variability, and created a fuzzy linear regression model. This model can be formulated in the form of a linear programming problem that minimizes the span between the upper and lower limits under the constraints that include all data. In recent years, all the attention in this context has been focused on a fuzzy number that has an indifferent zone. A fuzzy number that we consider here is defined by using a type 2 membership function. This paper addresses the fact that a type 2 membership function has the upper and lower limits and shows that a type 2 membership function can be identified by expanding a fuzzy linear regression model into a fuzzy linear polynomial regression model. Finally, after a proposed fuzzy polynomial model is identified, a mathematical model is developed for a fuzzy decision-making method that accounts for an indifferent zone.
- Źródło:
-
Control and Cybernetics; 2015, 44, 3; 399-406
0324-8569 - Pojawia się w:
- Control and Cybernetics
- Dostawca treści:
- Biblioteka Nauki
Artykuł