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Construction of Control Charts Using Fuzzy Multinomial Quality
2008
Journal of Mathematics and Statistics
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Control limits of FM -chart are obtained by using the multinomial distribution and the degrees of membership which one assigned to the distinct categories. ...
The comparison of the FM -chart and the p -chart based on a food production process illustrates that the FM -chart leads to better results. ...
ACKNOWLEDGEMENTS The first author would like to thank partially support of Fuzzy Systems and its Applications Center of Excellence, Shahid Bahonar University of Kerman, Iran. ...
doi:10.3844/jmssp.2008.26.31
fatcat:qc23fiv73fguxm6bo5wmeabdo4
An Improved FCM Medical Image Segmentation Algorithm Based on MMTD
2014
Computational and Mathematical Methods in Medicine
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It establishes the medium similarity measure based on the measure of medium truth degree (MMTD) and uses the correlation of the pixel and its neighbors to define the medium membership function. ...
Fuzzy c-means (FCM) is one of the popular clustering algorithms for medical image segmentation. ...
Acknowledgment This work was supported by the National Natural Science Foundation of China under Grants no. 61170322, no. 61073115 and no.61373065. ...
doi:10.1155/2014/690349
pmid:24648852
pmcid:PMC3932281
fatcat:srgroyri7nfa3jhqzufvt4xide
Tuning of a fuzzy classifier derived from data
1996
International Journal of Approximate Reasoning
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We eualuate our methods using the Fisher iris data and data for numeral recognition of uehicle license plates. ...
In this paper, we further deuelop two methods, a least squares method and an iteratit'e method, for tuning the sensitiuity parameters of fuzzy membership functions by which the generalization ability of ...
Namely, if all the input variables are normalized to the same scale, e.g., between 0 and 1, then the contour surface on which every location has the same degree of membership is parallel to, and lies at ...
doi:10.1016/0888-613x(95)00076-s
fatcat:k4nqfgslujdnxaqgnamm6rd72y
Fuzzy indexing and retrieval in case-based systems
1995
Expert systems with applications
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Finally, it allows greater flexibility in the retrieval of candidate cases. ...
When a new problem is encountered, the system retrieves similar cases from the case base and constructs a solution to the new problem based on existing solutions. ...
For example, a 50-year old patient may be classified as old (0.6) and mid-age (0.5), where 0.6 and 0.5 are the degrees that the 50-year-old patient is classified as old or mid-age, respectively. ...
doi:10.1016/0957-4174(94)e0004-e
fatcat:6zbnw35z7fbirlo3fadmg6qery
APPLYING FUZZY THEORY TO SCORING PSYCHOLOGICAL MEASUREMENTS
2007
Kansei Engineering International
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Then, the "observed fuzzy scores" defined in FPCS were calculated as the sums of fuzzy number values weighted by membership degrees for the following analysis. ...
The aim of this study was to propose and validate the new scaling method, fuzzy partial credit scaling (FPCS), which combines fuzzy set theory with the partial credit model (PCM) to score rating scales ...
Second, concerning the characteristic of variables, the descriptive terms applied in rating scales are linguistic variables rather than numerical variables. ...
doi:10.5057/kei.7.81
fatcat:7zldlyre5bdxrlkmoy7urwpzvu
A Fuzzy Approach for Software Effort Estimation
2013
International Journal on Cybernetics & Informatics
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Using Trapezoidal Membership Function (TMF), a few attributes are assigned the maximum degree of compatibility when they should be assigned lower degrees. ...
To overcome the above limitation, in this paper, it is proposed to use Gaussian Membership Function (GMF) for the cost drivers by studying the behavior of COCOMO cost drivers. ...
degree and to overcome this problem Gaussian membership function is used for the cost drivers. ...
doi:10.5121/ijci.2013.2102
fatcat:rqdt6uqhajcihoposkhxdiimti
Fuzzy min–max neural networks for categorical data: application to missing data imputation
2011
Neural computing & applications (Print)
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The micro data-the set of the respondents' individual answers to the questions-of this type of poll are especially suited for evaluating the method since they include a large number of numerical and categorical ...
The usual way of dealing with this type of variables is to replace the categorical by numerical values and treat them as if they were continuously valued. ...
The next step is to classify the point as the category corresponding to the class with the highest degree of membership. ...
doi:10.1007/s00521-011-0574-x
fatcat:ppnl4lfhxfdv5irmtv4pei6dz4
A Multivariate Multiscale Fuzzy Entropy Algorithm with Application to Uterine EMG Complexity Analysis
2016
Entropy
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and various degrees of synchronization over multiple scales, thus allowing for a direct analysis of multichannel data. ...
complex dynamical couplings and various degrees of synchronization over multiple scales in real-world multichannel data. ...
Figure 1 . 1 Two fuzzy membership functions used to calculate the degree of similarity. ...
doi:10.3390/e19010002
fatcat:fdinffhyovexzdxxc3bu7tworu
Methods for the Construction of Membership Functions
1999
International Journal of Intelligent Systems
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scale of the numerical relationship. ...
referential set for V, of ⌰, and e a subjective Ž . numerical assignment ␦ , which represents the degree to which ␦ belongs to A the set of elements identified by the linguistic term A. 10 Ž In this ...
A membership structures, in the two latter tasks, membership functions for the stimuli were obtained given a set of evaluators. ...
doi:10.1002/(sici)1098-111x(199912)14:12<1213::aid-int3>3.0.co;2-5
fatcat:lirlup4kazcp3pgoghgrnqjera
Basic Developments of Quality Characteristics Monitoring
2013
Journal of Applied Mathematics
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The text starts with a theoretical review of statistical process control theories and follows by a technical introduction to developed tools for process control. ...
Process control tools are a widely used approach in many operations and production processes. Process control chart ranks as one of the most important theories used in these disciplines. ...
If the quality characteristics of the product items could be measured as a numerical scale such as weight and height, variable control chart is appropriate. ...
doi:10.1155/2013/974340
fatcat:6bds7nh4mrgq5gusdrqlapynfa
Research on Quantitative Evaluation Methods and Influencing Factors of Natural Gas Reservoir Development
2021
Shock and Vibration
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A fuzzy optimization theoretical model for gas reservoir evaluation and optimization was established on the basis of a quantitative study on the evaluation parameters in fuzzy mathematics. ...
In order to clearly understand the influence of each factor on the gas reservoir exploitation effect, numerical simulation was used to perform a multifactor numerical simulation study of the quantitative ...
Acknowledgments is research was financially supported by the National Science and Technology Major Project (2016ZX05045). ...
doi:10.1155/2021/1684178
fatcat:xae2cqosajcwvirhspvrthevo4
A computational intelligence approach to efficiently predicting review ratings in e-commerce
2016
Applied Soft Computing
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In addition, the proposed framework can be utilised for other classification and prediction tasks, and its neuro-fuzzy predictor module can be replaced by other classifiers. ...
The performance of the proposed approach returned high accuracy and the results revealed that when large datasets are concerned, only a fraction of the data is needed for creating a system to predict the ...
Thus, the membership degree of a review determines how close a review is to the next cluster. ...
doi:10.1016/j.asoc.2016.02.024
fatcat:2htf3ihtavhllomtluqopjf3kq
Fuzzy Clustering Of Locations For Degree Of Accident Proneness Based On Vehicle User Perceptions
2008
Zenodo
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In this study, the perception of vehicle users is captured on a 10-point rating scale regarding the degree of variation in speed of travel at chosen locations in the city. ...
The average rating is used to cluster locations using fuzzy c-means clustering and classify them as low, moderate and high speed of travel locations. ...
Depending on the range of the clusters, the locations are classified to be a member of one or more clusters depending on the degree of membership. ...
doi:10.5281/zenodo.1060298
fatcat:5dbmiveohfc6pcyyq6yawx54um
Fusion of motif co-occurrence matrix and local binary pattern based on intuitionistic fuzzy set for texture classification
2019
Scientific Visualization
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In this way, IFS is used to model vagueness or uncertainty, and the MCM method for extracting microtexture information, whilst the LBP method plays the role of a global feature. ...
Based on intuitionistic fuzzy set (IFS) theory, this paper proposes a novel feature descriptor for texture classification by the fusion of motif co-occurrence matrix (MCM) and local binary pattern (LBP ...
Atanassov [17] pioneered construction of IFS, which is defined by three feature functions as the degree of membership, degree of nonmembership, and degree of hesitation or uncertainty. ...
doi:10.26583/sv.11.5.02
fatcat:qwai5vsetzgy7g26edfdoavuyq
An Analog Template-Based Classifier Using MOS Translinear Loops
2011
Active and Passive Electronic Components
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Simulation results by HSPICE show high performance in the separation of circuit and confirm the validity of the proposed technique. ...
An analog template matching pattern classifier circuit based on a new synthesis of Euclidean distance calculation is presented. It is composed of simple two-quadrant squarer/divider blocks. ...
is represented for the membership degree µ(D). ...
doi:10.1155/2011/192818
fatcat:itr2v5265fgatlqrtapjamk6ky
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