membership values
A Novel Approach for the Determination of Membership Values of the Strings in Fuzzy Languages
... Automata theory is firmly similar to formal language theory. The best known computational devices are Turing machine, finite automata, linear bounded automata, and pushdown automata. For modeling of formal systems ...
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Fuzzy Set Theoretical Analysis of Human Membership Values on the Color Triangle
... three membership functions are constructed on the RGB color ...the membership values of subjects) to an RGB system and output the center of gravity of three weights associated with respective ...
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Intuitionistic Fuzzy Logic Control for Microwave Ovens
... There are five triangular intutionistic fuzzy sets for the cooking time of the oven. The range is from 0-60 minutes. They are termed as very short (0-10), short (5-20), medium (10-40), long (20-60), very long (40-60). ...
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Fuzzified Denoising Technique for Directional Total Variation Minimization on Color Image
... of membership values) after first phase (image fuzzification), appropriate fuzzy techniques (such as fuzzy clustering, fuzzy rule-based approach, fuzzy integration approach and so on) modify the ...
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Enhancement of Image using Fuzzy Inference System for Remotely Sensed Multi Temporal Images
... fuzzy membership functions are applied for the same which is a knowledge- based ...Triangular membership function is used and is applied after the modification of membership values by using a ...
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Cancer subtype identification pipeline: a classifusion approach
... the membership values dataset patients were either classified into classes corresponding to the highest membership value or to the second highest membership value, but no patient was ...
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Performance Evaluation of Leagile Supply Chain Strategy of an Organization
... final membership values, it can be judged that the performance of the supply chain in leagile perspective is considered as „General‟ (GE) level as the obtained confidence level ...
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A Discrete Model for Color Naming
... whose membership function is implicitly defined by fitting the model to the results of an ad hoc psychophysical experiment (Experiment ...the membership values of any other point in the color ...
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International Journal of Scientific Research and Modern Education (IJSRME) ISSN (Online): 2455 – 5630 (www.rdmodernresearch.com) Volume I, Issue II, 2016
... non-membership values also into consideration and introduced Intuitionistic Fuzzy sets [IFS] and their extensions like Intuitionistic Fuzzy sets of second type [IFSST], Intuitionistic L-Fuzzy sets [ILFS] ...
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Knowledge Acquisition Tool for Learning Membership Function and Fuzzy Classification Rules from Numerical Data
... output values of all training instances are appropriately grouped by applying a proposed clustering procedure, and appropriate MFs for output values are ...
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Neuro-Fuzzy Based Real Time Object Tracking SUNITHA.M 1, SHANMUGAPRIYA.K2
... Histogram thresholding is one of the simple and widely used techniques for image segmentation. The underlying assumption of histogram thresholding is that objects in the scene give rise to explicit peaks in image ...
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1. Hybrid approach for software component classification using computational intelligence
... Clusters values initialization.FCM Clustering Algorithm evaluate membership values of each data points by formula (7) and then stored in the ...maximum membership value in column is selected ...
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More on vague sets
... of membership values of the elements in fuzzy sets is ...the membership Value cannot always be determined, due to insufficient of available information, besides the presence of vagueness in the ...
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Solution of Multi-Objective Transportation Problem Via Fuzzy Programming Algorithm
... Wahed and Lee (2006) proposed an interactive fuzzy goal programming approach to determine the preferred compromise solution for the multi-objective transportation problem. The proposed approach considers the imprecise ...
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Fuzzy logic based vehicle speed control performance considering different membership types
... single membership type which is either the triangular, trapezoid or Gaussian ...Gaussian membership has more computational time for it to process the information, the ...
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An Object-Oriented Approach of Keyword Querying over Fuzzy XML
... its membership degree expression: <Val Poss = ...of values of the attributes, a fuzzy construct "Dist" is introduced into the ...of values, which is disjunctive possibility distribution or ...
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Discovering Joining Nodes and Detecting Leaving Nodes in the iTrust Membership Protocol
... inexpensive membership management protocol for unstructured peer-to-peer overlay ...iTrust membership protocol differs from CYCLON in that each node tries to discover as many nodes as possible to include in ...
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FEATURE SELECTION USING MODIFIED ANT COLONY OPTIMIZATION APPROACH (FS MACO) BASED FIVE LAYERED ARTIFICIAL NEURAL NETWORK FOR CROSS DOMAIN OPINION MINING
... parameter values and then the optimal cluster is determined based on certain ...radius values by proposing the identification of the variability of each variable in the dataset to be clustered through the ...
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Petrica, Monica (2011): Cognitive metaphors in political discourse in Malta and the case of EU-membership debate. Dissertation, LMU München: Fakultät für Sprach- und Literaturwissenschaften
... personal values and beliefs. I dare assume that an atheist (or someone in whose life religion does not play a central role) would comprehend a saviour merely as a person (an agent) that saves someone (a patient) ...
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A Fuzzy Classification Model for Online Customers
... Digital goods and services are costly to produce but cheap to reproduce. In addition, versioning of products and services can easily be achieved. Another advantage of fuzzy classification, therefore, is its potential for ...
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