[PDF] Top 20 Fuzzy Model Identification: A Firefly Optimization Approach

... The fuzzy model identification can be formulated as a search and optimization ...the fuzzy model based on some evaluation ...of optimization algorithm for fuzzy ... See full document

... the model of numerical simulation has been simpli- fied which is different from the main roof in real geological conditions, particularly in terms of the changes of the roof thickness, the minor fracture devel- ... See full document

... universal optimization procedure for solving the model-based feed-rate time profile optimization problem of fed–batch fermentation process without external navigation directly from the process ... See full document

... For each arbitrary separation, 50 users were selected randomly as active clients, & 447 clients are remaining to consider as users to train – as for RS to the historical data. Such an arbitrary parting was envisioned ... See full document

... the fuzzy set theory introduced by Zadeh [18] is ...for fuzzy parameter which gives a representative value for ...function fuzzy parameters can be easily changed into crisp one. The fuzzy ... See full document

... variable approach, the noise will be removed, whose arrays appearance comparable to original characters or parts of ...formulated optimization problem containing latent ...gravity identification, ... See full document

... locality optimization and can’t find global optimization based on complicated and multi-dimensions issues and/or issues which have distortion, distinctness, noise, and disturbance of information ... See full document

... In earlier studies, some rainfall forecasting methods have been used. Wigena [2] used the method with projection pursuit regression to form a prediction pattern of the data obtained from the Global Climate Model ... See full document

... [17] Holland, J. H. ”Adaptation in natural and artificial systems,” Ann Arbor: University of Michigan Press,1975. Print. [18] Dubois, D., and Prade, H. ”Fuzzy sets and systems: theory and applications,” New York: ... See full document

... always fuzzy in ...the fuzzy system to the crisp or in the form of real world ...the fuzzy input and provide real world ...popular fuzzy inference system are available: Mamdani fuzzy ... See full document

... structural model using parameterized p-norm based fuzzy Geometric Programming ...design model in fuzzy environment has been ...triangular fuzzy number (GTFN) is considered as ... See full document

... inventory model with uncertain parameters and fuzzy variables have been discussed in the real world ...interesting approach for aggregate inventory planning was propounded by Kaeprazyk and ...applied ... See full document

... adaptation approach that implements self-optimization based on fuzzy ...proposed optimization model performs service selection based on the analysis of historical and real QoS data, ... See full document

... and fuzzy measure in the prediction ...the fuzzy measure reflected the importance of the feature attributes as well as their ...SVM model, the irrelevant features in the dataset were eliminated ... See full document

... Sugeno fuzzy approach is also called the Fuzzy Functional ...using fuzzy rules, whose output parts are a function of the input ...of fuzzy regions. The format of the Takagi Sugeno ... See full document

... optimization approach or indirect approach, in which a search procedure is coupled to a simulation ...release-history identification problem for a complex water distribution ...This ... See full document

... in fuzzy environment. Some researchers applied the fuzzy set theory to Structural ....Structural optimization with fuzzy parameters was developed by Yeh ...for fuzzy optimization ... See full document

... had been considered by Mahdavi-Amiri and Nasseri (2007), where b G (F (R ))m, A G R (m,n), cT G R n are given and x G (F(R ))n is to be determined , and a linear ranking function on TPFN; a = (aL, a u , a , / 3 ) defined ... See full document

... Research in [27] is based on fast and accurate models with awareness of the relationships with power of non- traditional parameters (such as temperature and fre- quency). This work combines both energy and thermal- aware ... See full document

... In a GPU each SGC trip implies in at least two hours of shutdown until the SGC system can be restarted, which represents a cost of thousands of dollars for the company. This work shows the potentiality, simplicity and ... See full document