A fuzzy system modeling algorithm for data analysis and approximate reasoning
✍ Scribed by Kemal Kilic; Beth A. Sproule; I. Burhan Türksen; Claudio A. Naranjo
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 153 KB
- Volume
- 49
- Category
- Article
- ISSN
- 0921-8890
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Intrinsically, vague knowledge is typical of the decision process especially when it is based on complex and non-numeric data. Linguistic descriptions play a significant role in decision making for pattern recognition. Fuzzy set theory and fuzzy logic provide an approximate framework for the represe
This paper presents 8n optimal caps&or allocation method which uses fuzzy reasoning and genetic algorithms for primary distribution systems. In the method, capacitor allocation ls applied to correct voltage deviation and reduce power loss for a given load pattern. The problem of caps&or allocation i
This paper introduces a novel transductive neuro-fuzzy inference model with weighted data normalization (TWNFI). In transductive systems a local model is developed for every new input vector, based on a certain number of data that are selected from the training data set and the closest to this vecto