𝔖 Bobbio Scriptorium
✦   LIBER   ✦

On obtaining minimal variability OWA operator weights

✍ Scribed by Robert Fullér; Péter Majlender

Book ID
104291400
Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
232 KB
Volume
136
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

On the issue of obtaining OWA operator w
On the issue of obtaining OWA operator weights
✍ Dimitar Filev; Ronald R. Yager 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 578 KB

We first investigate the issue of obtaining the weights associated with the OWA aggregation in the situation when we have observed data on the arguments and the aggregated value. We next introduce a family of OWA operators called exponential OWA operators. Finally, we look at a simple procedure for

Some remarks on the LSOWA approach for o
Some remarks on the LSOWA approach for obtaining OWA operator weights
✍ Byeong Seok Ahn 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 127 KB

One of the key issues in the theory of ordered-weighted averaging (OWA) operators is the determination of their associated weights. To this end, numerous weighting methods have appeared in the literature, with their main difference occurring in the objective function used to determine the weights. A

An argument-dependent approach to determ
An argument-dependent approach to determining OWA operator weights based on the rule of maximum entropy
✍ Jian Wu; Chang-yong Liang; Yong-qing Huang 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 118 KB

The methods for determining OWA operator weights have aroused wide attention. We first review the main existing methods for determining OWA operator weights. We next introduce the principle of maximum entropy for setting up probability distributions on the basis of partial knowledge and prove that X

A hybrid fuzzy cognitive model based on
A hybrid fuzzy cognitive model based on weighted OWA operators and single-antecedent rules
✍ Zhenbang Lv; Lihua Zhou 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 132 KB

Conventional fuzzy cognitive maps ~FCMs! can only represent monotonic or symmetric causal relationships and cannot simulate the AND/OR combinations of the antecedent nodes. The rulebased fuzzy cognitive maps ~RBFCMs! usually suffer from the well-known combinatorial rule explosion problem. A hybrid f