data-based fuzzy modeling
Dynamic neuro-fuzzy systems for rainfall-runoff modelling
... approaches are able to identify a direct mapping between input and output with less number of physical parameters. This study is important from hydrologic point of view as it aimed to develop rainfall-runoff model using ...
53
A NEW CLUSTERING-BASED APPROACH FOR MODELING FUZZY RULE-BASED CLASSIFICATION SYSTEMS
... analysis based on multiple comparison ...each data set separately, the best performing algorithm obtaining the rank of 1, the second best rank 2, and so ...
11
A Neuro Fuzzy System for Modeling the Depression Data
... psychiatry data with SC techniques. Concepts of Fuzzy-C Means (FCM) and K-means (KM) clustering techniques were used for classifying depression grades using Beck’s Depression Inventory-II (BDI-II) ...
6
Spatial Data Modeling Based MCE Fuzzy Logic for Petroleum Exploration in Part of Say'un-Masilah Basin of Yemen
... combine data to show areas best fulfilling specific ...heterogeneous data, considers the interpretive nature of the data, is geologically applicable, and is applicable for frontier areas or where ...
9
Fuzzy Modeling of Client Preference in Data-Rich Marketing Environments
... repeated modeling in each iteration. Moreover, the na- ture of the data is such that the validity measures typically give no insight into the suitable partitioning as there is usually no distinctive local ...
16
LAYOUT AN INEXPENSIVE ELLIPTICAL POLARIZED PRODUCTIVE INTEGRATED TRANSCEIVER
... of fuzzy system framework is including the two important concepts namely fuzzy rules- based and fuzzy ...Type-2 Fuzzy system were introduced by Zadeh in 1975 that can provide better ...
11
PLANT GROWTH MODELING OF ZINNIA ELEGANS JACQ USING FUZZY MAMDANI AND L SYSTEM APPROACH WITH MATHEMATICA
... In this research, the observations are concentrated on 2 areas, the plant growth itself and the environment. The plant growth observations are carried out by collecting data of the plant based on the ...
6
Applying Fuzzy Logic Model for Bending Rigidity Evaluation of Woven Fabrics
... the modeling methodologies, Behara and Muttagi have used the published data of Leaf and Kandil [8] on fabric initial bending rigidity ...usually based on certain idealized assumptions, so their ...
8
MODELING OF A NOVEL FUZZY BASED OVERCURRENT RELAY USING SIMULINK
... using fuzzy logic, in power system protection has been proposed in this paper along with the simulated ...technique based on fuzzy logic and value estimation to control the protection action of the ...
6
Neuro-fuzzy-based Electronic Brake System Modeling using Real Time Vehicle Data
... The number of membership functions in CANFIS model directly affects the accuracy of the model. In this paper different numbers of membership functions (n) have been considered for CANFIS model. We started the ...
10
A new fuzzy set merging technique using inclusion based fuzzy clustering
... analyze data and to build data-driven ...the fuzzy set theory, its application to classification has produced very appealing outcomes, both from the theoretical perspective as testified by the ...
18
Application of Fuzzy Logic for Personnel Selection
... of fuzzy logic was discovered by Lofti ...processing based on linguistic variables. Fuzzy set theory is the mathematical basis of fuzzy ...logic. Fuzzy set theory deals with data ...
5
Choquet Fuzzy Integral Based Modeling of Nonlinear System
... output data. Fig. 3(a) shows the curves. Hence the minimum number of rules needed is four. Table I (A) shows the final values of membership function parameters ( a ki c ki l ki ), fuzzy densities ( g k ) ...
22
Fuzzy Modeling using Vector Quantization based on Input and Output Learning Data
... numerical simulations for function approximation and pattern classification problems were performed. In the future work, we will propose more effective learning algorithm using the probability of output change for ...
6
An FPGA-Based Neuro-Fuzzy Sensor for Personalized Driving Assistance
... DS modeling is proposed. To perform system development, data from a subset of real-world trips of the Strategic Highway Research Program (SHRP2)’s naturalistic driving study (NDS) [30] are ...
23
Robust Implementation of ALFIS for Prediction of Medical Information System
... Sanchez, and Adlassing to be the most predictable ones. Till recently considerable results obtained in modeling. Medical decision making with artificial cognitive structures has been among the leading research ...
11
Modeling of Stripper Temperature based on Improved T-S Fuzzy Neural Network
... During the process of PVC stripping, due to the accuracy of measurement instruments, methods employed and human factors, various errors can not be avoided, which will affect process modeling and control quality. ...
6
A fuzzy cooperative genetic algorithm for fuzzy modeling
... the data is more efficient in terms of the lesser cost and shortens the time of performing ...Through data collection, a scientist can extract and interpret knowledge in the data in order to ...
37
Object Oriented Data Modeling for Data Warehousing (An Extension of UML approach to study Hajj pilgrim s private tour as a Case Study)
... individual data marts as a ...relevant data in form of reports, for instance a report on pilgrim’s data for the past five year, which may also be relevant for business process ...
5
The Arithmetical Edifices Of Strength Of Connectedness In Intuitionistic Fuzzy Soft Graphs
... Recently, fuzzy graphs having gained more attention from several ...of fuzzy graphs to the interval-valued fuzzy graph [7], intuitionistic fuzzy graphs [8], intuitionistic fuzzy hyper ...
7