Genetic-based new fuzzy reasoning models with application to fuzzy control
β Scribed by Park, D.; Kandel, A.; Langholz, G.
- Book ID
- 114550495
- Publisher
- Institute of Electrical and Electronics Engineers
- Year
- 1994
- Weight
- 813 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0018-9472
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
In this paper, we present a multistage genetic learning process for obtaining linguistic fuzzy rule-based classification systems that integrates fuzzy reasoning methods cooperating with the fuzzy rule base and learns the best set of linguistic hedges for the linguistic variable terms. We show the ap
Based on sliding mode control (SMC), an expert fuzzy controller synthesized by a collection of fuzzy linguistic control rules is proposed in this paper. The control strategy of the proposed controller is characterized by the linguistic terms in the fuzzy control rules. The membership functions of co
It is of practical importance to have parametric families of fuzzy connectives which are easy to handle and which are rich enough in the situation under consideration. This paper introduces a new axiomatic description to conjunctive and compensative connection of fuzzy sets. The new parametric famil