𝔖 Bobbio Scriptorium
✦   LIBER   ✦

General fuzzy least squares

✍ Scribed by Ma Ming; Menahem Friedman; Abraham Kandel


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
468 KB
Volume
88
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.

✦ Synopsis


A model for least-squares fitting of fuzzy-valued data is described. A previous process obtained for triangular fuzzy numbers is generalized and improved to include all fuzzy numbers represented by single maxima piecewise continuous functions with compact support. The new model is compared with the previous procedure and its applicability is demonstrated.


πŸ“œ SIMILAR VOLUMES


Fuzzy least squares
✍ Phil Diamond πŸ“‚ Article πŸ“… 1988 πŸ› Elsevier Science 🌐 English βš– 872 KB
Generalized least squares innovation rep
✍ I. Bencsik; Gy. Michaletzky πŸ“‚ Article πŸ“… 1988 πŸ› Elsevier Science 🌐 English βš– 414 KB

In this paper we shouldlike to give a unified approach to the stochastic realization problem of finite dimensional discrete time stochastic systems . The generalized least squares innovation representation /GLS IR/ developed in the paper has diagonal error covariance matrix in tie state space and or

Multidimensional least-squares fitting w
✍ Ruoning Xu; Chulin Li πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 98 KB

The aim of this paper is to deal with the question of fuzzy multivariable linear regression by least squares. Similar to the traditional least-squares method, we develop a fuzzy analogue by a distance deΓΏned on a fuzzy number space, and propose a fuzzy multivariable linear regression model. It is sh