𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Component Models for Fuzzy Data

✍ Scribed by Renato Coppi; Paolo Giordani; Pierpaolo D’Urso

Publisher
Springer
Year
2006
Tongue
English
Weight
383 KB
Volume
71
Category
Article
ISSN
0033-3123

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Fuzzy regression model with fuzzy input
Fuzzy regression model with fuzzy input and output data for manpower forecasting
✍ Hong Tau Lee; Sheu Hua Chen 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 113 KB

In modeling a fuzzy system with fuzzy linear functions, the vagueness of the fuzzy output data may be caused by both the indeÿniteness of model parameters and the vagueness of the input data. This situation occurs as the input data are envisaged as facts or events of an observation which are uncontr

Rule-base self-generation and simplifica
Rule-base self-generation and simplification for data-driven fuzzy models
✍ Min-You Chen; D.A. Linkens 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 573 KB

Data-driven fuzzy modeling has been used in a wide variety of applications. However, in fuzzy rule-based models acquired from numerical data, redundancy often exists in the form of redundant rules or similar fuzzy sets. This results in unnecessary structural complexity and decreases the interpretabi

The fuzzy association degree in semantic
The fuzzy association degree in semantic data models
✍ Wei-Yi Liu; Ning Song 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 95 KB

This paper presents an expression of the semantic proximity. Based on the concept of the semantic proximity, an evaluated method of the fuzzy association degree is given. It is shown that the method is reasonable and e ective. Particularly, by means of the fuzzy association degree, we can discover t