✦ LIBER ✦

Fuzzy Regressivity and Retraceability

✍ Scribed by Leon Harkleroad

Publisher: John Wiley and Sons
Year: 1988
Tongue: English
Weight: 420 KB
Volume: 34
Category: Article
ISSN: 0044-3050
DOI: 10.1002/malq.19880340604

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Fuzzy ranking and quadratic fuzzy regres

Fuzzy ranking and quadratic fuzzy regression

✍ Yun-Shiow Chen 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 769 KB

Three different ranking methods, namely, the overall existence ranking index (OERI), the approach proposed by Diamond [1] and a new two-step method based on OERI, are used to estimate the distance between two fuzzy numbers. This distance parameter is then used in the least square or quadratic regres

Linear fuzzy regression

✍ Krzysztof Jajuga 📂 Article 📅 1986 🏛 Elsevier Science 🌐 English ⚖ 356 KB

This paper presents an approach which is useful for regression analysis in the case of heterogeneity of a set of observations, for which regression is evaluated. The proposed procedure consists of two stages. First, for a set of observations, fuzzy classification is determined. Due to this, homogeno

Fuzzy linear regression with fuzzy inter

Fuzzy linear regression with fuzzy intervals

✍ Georg Peters 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 471 KB

Fuzzy linear regression analysis

✍ Wang Xizhao; Ha Minghu 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 474 KB

Note on fuzzy regression

✍ András Bárdossy 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 465 KB

Fuzzy regression by fuzzy number neural

Fuzzy regression by fuzzy number neural networks

✍ James P. Dunyak; Donald Wunsch 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 148 KB

In this paper, we describe a method for nonlinear fuzzy regression using neural network models. In earlier work, strong assumptions were made on the form of the fuzzy number parameters: symmetric triangular, asymmetric triangular, quadratic, trapezoidal, and so on. Our goal here is to substantially