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Membership Degree

Fuzzy evaluation on supply chain competitiveness based on membership degree transformation new algorithm

Fuzzy evaluation on supply chain competitiveness based on membership degree transformation new algorithm

... the membership degree vectors of end ...is membership degree transformation ...index membership degree is also used to calculate object membership degree, which is ...

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Relative Membership Degree Method for Fuzzy Multi attribute Decision making with Preference Information on Alternatives

Relative Membership Degree Method for Fuzzy Multi attribute Decision making with Preference Information on Alternatives

... Because the FPIS and FNIS are inexistent in the real life. Based on fuzzy sets theory, we can calculate the synthetically weighted distance between the overall values of every alternative and the ideal solution by using ...

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The Theory of Membership Degree of Γ Conclusion in Several n Valued Logic Systems

The Theory of Membership Degree of Γ Conclusion in Several n Valued Logic Systems

... truth degree of formulas, the present papers introduces the concept of the membership degree of formulas A is a consequence of Γ (or Γ-conclusion) in Łukasiewicz n-valued propositional logic systems, ...

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ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING

ARABIC TEXT CLUSTERING BASED ON K MEANS ALGORITHM WITH SEMANTIC WORD EMBEDDING

... The function of membership is as a graphic to represent the number of each membership degree of input variables in the interval between 0 and 1. The used of input variables are free variables, namely ...

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An Adaptive Activity Recognition Approach in Smart Environments

An Adaptive Activity Recognition Approach in Smart Environments

... Smart Homes are smart spaces that contain devices are connected with each other to get information about user’s activities; these devices can be controlled through one central point. Like door locks, thermostats, ...

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Article A new fuzzy rule-based model to partition a complex urban system in homogeneous urban contexts

Article A new fuzzy rule-based model to partition a complex urban system in homogeneous urban contexts

... a membership degree of each urban context to its class, given by a weighted average of the membership degrees to this category calculated in any microzone include in the urban ...This ...

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Summarizing Search Results using PLSI

Summarizing Search Results using PLSI

... Third, we investigated how well the proposed method reduced the redundancy between sum- maries. To be more precise, we used three mea- sures as w score(z, w) to generate summaries and investigated which measure generated ...

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MULTI LEVEL GROUP KEY MANAGEMENT TECHNIQUE FOR MULTICAST SECURITY IN MANET

MULTI LEVEL GROUP KEY MANAGEMENT TECHNIQUE FOR MULTICAST SECURITY IN MANET

... The membership degree is an important concept in fuzzy set, however, the determination often with subjective arbitrariness of the membership degree, On the other hand, membership ...

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Determining Criteria for Contractor Selection for Electrical Projects in Saudi Electricity Company

Determining Criteria for Contractor Selection for Electrical Projects in Saudi Electricity Company

... Table 4.1 presents the weighted fuzzy membership degree of all applicants with regards to the eights main criteria. Elements are normalized as positive triangular fuzzy numbers according to the weighted ...

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Interval-Valued Fuzzy Ideals in Ternary Semirings

Interval-Valued Fuzzy Ideals in Ternary Semirings

... the membership function that we ...the membership degree of each element to the fuzzy set by means of an ...the membership degree of each element of the fuzzy set is given by a closed ...

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Effect of Fuzzy Boundaries on the Bearing Capacity of Footings on Two-Layered Clay

Effect of Fuzzy Boundaries on the Bearing Capacity of Footings on Two-Layered Clay

... this graph, the horizontal and vertical axes are respectively the depth (in z direction) and membership degree of the layers. In Figure 3(b), the hypothetical interface between the layers is depicted as a ...

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Modelling the system behaviour of wet snow avalanches using an expert system approach for risk management on high alpine traffic roads

Modelling the system behaviour of wet snow avalanches using an expert system approach for risk management on high alpine traffic roads

... calculated membership values for the term “no avalanches expected” were relatively low ...puted membership values of ...a membership value of ...a membership degree of ...a ...

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DOFCM: A Robust Clustering Technique Based upon Density

DOFCM: A Robust Clustering Technique Based upon Density

... its membership degree to the noise cluster cannot be more than the distance from its regular clusters because the location of this point is in between the cluster centroids and this scenario can never be ...

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Implementation Of Fuzzy C-Means And Fuzzy Possibilistic C-Means Algorithms To Find The Low Performers Using R-Tool

Implementation Of Fuzzy C-Means And Fuzzy Possibilistic C-Means Algorithms To Find The Low Performers Using R-Tool

... the membership to all data points by measuring its distance from the cluster ...the membership degree will be measured of their closeness of the object with the cluster center ...

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Application of Union of Fuzzy Automata on Target Tracking

Application of Union of Fuzzy Automata on Target Tracking

... In positioning and navigation systems, the information provided by each sensor is generally inaccurate, ambiguous, incomplete or even contradictory, which in- cludes a lot of uncertainty. In order to achieve better ...

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Using a Fuzzy Logic Based Emotional Intelligence Framework for Testing Satisfaction of Faculty in an Outcomes Based Educational System

Using a Fuzzy Logic Based Emotional Intelligence Framework for Testing Satisfaction of Faculty in an Outcomes Based Educational System

... of membership function for each rule is the fuzzy set assigned to that output by using the degree of the membership functions of the associated input fuzzy sub ...the membership degree ...

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An image classification algorithm using fuzzy support vector machine

An image classification algorithm using fuzzy support vector machine

... the degree of punishment for wrong classified ...the degree of constraint for wrong classified samples, the smaller the interval of the classification ...the membership degree ...

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On Edge Regular Bipolar Fuzzy Graphs

On Edge Regular Bipolar Fuzzy Graphs

... of membership degree is [–1, 1] . In bipolar fuzzy set, membership degree 0 of an element means that the element is irrelevant to the corresponding property, the membership ...

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Vol 7, No 11 (2016)

Vol 7, No 11 (2016)

... positive membership degree A + (x, q) denotes the satisfaction degree of an element (x, q) to the property corresponding to a bipolar-valued Q-fuzzy set A and the negative membership ...

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Vol 6, No 6 (2015)

Vol 6, No 6 (2015)

... negative membership degree A − (x) denotes the satisfaction degree of an element x to some implicit counter-property corresponding to a bipolar-valued fuzzy set ...the membership function of ...

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