We present several rules for updating non-additive set functions, defined and conditioned on fuzzy sets. Among these formulas are the Dempster-Shafer rule for belief functions and the Bayes' conditioning rule. We develop the update formulas in the framework of non-additive measure and integration th
Adaptive non-additive generalized fuzzy systems
โ Scribed by Nishchal K. Verma; Madasu Hanmandlu
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 665 KB
- Volume
- 10
- Category
- Article
- ISSN
- 1568-4946
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
An on-line approximator using a linear fuzzy logic model with automatic tuning mechanism is presented in this paper. The proposed approximation method can be used to model a class of unknown non-linear systems as long as they are Caratheodory ones. The structure of the fuzzy model is fixed but the p
In order to achieve the goal of fully automated manufacturing systems, novel techniques and tools in many aspects of manufacturing, including scheduling and control, need to be developed. These novel techniques can be recognised by their capabilities to adapt to complex situations, which conventiona
Due to vague boundaries of the attributes of the parts, the grouping relations between parts and machines are frequently vague or fuzzy. The fuzzy concept was developed to handle this kind of linguistic vagueness. In this paper, an adaptive fuzzy system is used to investigate the machinepart groupin
In this brief note we make three remarks concerning adaptive implementations of neural networks and fuzzy systems. First, we bring to the reader's attention the fact that the potential power of these systems as function approximators is lost when, as in some recently published works, the adjustable