𝔖 Bobbio Scriptorium
✦   LIBER   ✦

T-norms in subtractive clustering and backpropagation

✍ Scribed by Andrea Mesiarová-Zemánková; Khurshid Ahmad

Publisher
John Wiley and Sons
Year
2010
Tongue
English
Weight
392 KB
Volume
25
Category
Article
ISSN
0884-8173

No coin nor oath required. For personal study only.

✦ Synopsis

The tuning of a fuzzy model is discussed in the context of choices made between different t-norms. The effects of the choice is illustrated by looking at two fuzzy models initially generated, respectively, by grid partition and a novel variant of subtractive clustering. The new variant of subtractive clustering introduced in the paper is based on the standard method of subtractive clustering, where in this new method, the measure of similarity and thus also cluster shapes depend on a choice of t-norm T .

📜 SIMILAR VOLUMES

Fuzzy sets and t-norms in the light of f
Fuzzy sets and t-norms in the light of fuzzy logic
✍ Vilém Novák; Witold Pedrycz 📂 Article 📅 1988 🏛 Elsevier Science ⚖ 752 KB

The paper is a discussion of the many-valued fuzzy logic, which is syntacticosemantically complete and its impact on the fuzzy set theory, namely on the operations with fuzzy sets. Arguments that all the operations with membership grades must fulfil the so called fitting condition are given. It foll