𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Construction of fuzzy models through clustering techniques

✍ Scribed by Y. Yoshinari; W. Pedrycz; K. Hirota


Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
419 KB
Volume
54
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


About the use of fuzzy clustering techni
✍ A.F. GΓ³mez-Skarmeta; M. Delgado; M.A. Vila πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 811 KB

In this work we present an alternative approach to generate fuzzy rules with a functional consequent associated to the TSK fuzzy model. In our case, using fuzzy clustering algorithms that look for linear behaviours in the product space of the input-output data, we analyse different methods to genera

Algorithms of nonlinear document cluster
✍ Kiyotaka Mizutani; Ryo Inokuchi; Sadaaki Miyamoto πŸ“‚ Article πŸ“… 2008 πŸ› John Wiley and Sons 🌐 English βš– 553 KB

Fuzzy multiset is applicable as a model of information retrieval because it has the mathematical structure that expresses the number and the degree of attribution of an element simultaneously. Therefore, fuzzy multisets can be used also as a suitable model for document clustering. This paper aims at

A model of fuzzy reasoning through multi
✍ J.F. Baldwin; B.W. Pilsworth πŸ“‚ Article πŸ“… 1979 πŸ› Elsevier Science βš– 988 KB

Various interpretations of conditional propositions are considered, which include relational definitions using Eukasiewicz logical implication rule and Zadeh's Maximin rule. Theorems are presented which describe the relationship between the interpretations. An example of reasoning in ordinary set t