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Fuzzy set for the queue occupancy (High)

PRIORITY QUEUE MODEL ALONG INTERMEDIATE QUEUE UNDER FUZZY ENVIRONMENT WITH APPLICATION

PRIORITY QUEUE MODEL ALONG INTERMEDIATE QUEUE UNDER FUZZY ENVIRONMENT WITH APPLICATION

... The queue of passengers demanding service for C is intermediate queue and the service is being served on the basis of low priority service discipline by one of the servers S 1 or S 2 otherwise servers S 1 & ...

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Active Queue Management in TCP NetworksBased on fuzzy-PID Controller

Active Queue Management in TCP NetworksBased on fuzzy-PID Controller

... 3 Mohsen Nikpour, Electrical Engineering DepartmIslamic Azad University- Babol Branch, Babol, Iran, [email protected] Unfortunately, RED causes oscillations and instability in the network due to the parameter ...

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Fuzzy set covering as a new paradigm for the induction of fuzzy classification rules

Fuzzy set covering as a new paradigm for the induction of fuzzy classification rules

... that fuzzy decision trees have the advantage that they produce comprehensible knowledge, but that they are often criticized for poor learning ...a fuzzy decision tree. The fuzzy decision tree is ...

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Disk Queue. Network Queue

Disk Queue. Network Queue

... Considerable attention has been directed to improving the architecture of high performance web servers. As mentioned above, servers like Apache follow the model in which separate connections are served by separate Unix ...

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Fuzzy Active Queue Management for Assured Forwarding Traffic in Differentiated Services Network

Fuzzy Active Queue Management for Assured Forwarding Traffic in Differentiated Services Network

... physical queue, the fuzzy rules will be fired and return a ...virtual queue will be readjusted to a higher value (as shown in ...virtual queue. This will result in more high priority to be ...

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Properties of Fuzzy Length on Fuzzy Set

Properties of Fuzzy Length on Fuzzy Set

... of fuzzy length space is introduced in this research as a modification of the notion of fuzzy normed space due to Bag and ...of fuzzy set and the definition of continuous t ...the fuzzy ...

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Fuzzy Dominating Set

Fuzzy Dominating Set

... A fuzzy graph G is said to be fuzzy bipartite if the vertex set σ can be partitioned into two nonempty sets σ 1 and σ 2 such that σ 1 and σ 2 are fuzzy independent ...called fuzzy ...

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Fuzzy Set Abstraction

Fuzzy Set Abstraction

... values. We will therefore use their program analysis framework as a basis for our own fuzzy set abstraction which is described in Section 3.1. Although analyzes in our framework are decidable and sound the ...

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Index Terms: Fuzzy topology, fuzzy open set, fuzzy closed set, fuzzy super interior, fuzzy super closure,

Index Terms: Fuzzy topology, fuzzy open set, fuzzy closed set, fuzzy super interior, fuzzy super closure,

... of fuzzy sets of X is called a fuzzy topology [4] on X if 0,1 belongs to  and  is closed with respect to arbitory union and finite intersection ...called fuzzy open sets and their complement are ...

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A Non-Blocking Priority Queue for the Pending Event Set

A Non-Blocking Priority Queue for the Pending Event Set

... The expandArray operation (Algorithm 5) has two goals: extending table and moving the elements from the overflow structure to table. The first step takes place only if en- queue_size associated with the current future is ...

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Trivial Fuzzy Topology of the Set of Fuzzy Graphs

Trivial Fuzzy Topology of the Set of Fuzzy Graphs

... the fuzzy graph A and B. Then the amalgamation of the fuzzy topological graphs A and B by the vertices forms a new fuzzy topological graph ...

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Fuzzy Measure: A Fuzzy Set Theoretic Approach

Fuzzy Measure: A Fuzzy Set Theoretic Approach

... of fuzzy measure introduced by Sugeno is abandoning the additive ...the fuzzy set [5, 9,11]. Fuzzy measure, defined in [1], was studied with the membership ...

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Fuzzy Set Theory in Sociology

Fuzzy Set Theory in Sociology

... introduce fuzzy set theory which has a number of properties that makes it suitable for formalizing the uncertain information in dealing with systems comprising a very large number of interacting elements or ...

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On sequences of fuzzy sets and fuzzy set-valued mappings

On sequences of fuzzy sets and fuzzy set-valued mappings

... crisp set-valued mappings have been recognized in many areas, for ex- ample, variational analysis, set-valued optimization, stability theory, sensitivity analysis, ...crisp set-valued ...(i) ...

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SYSTEM PERFORMANCE MEASURES OF A MACHINE INTERFERENCE FUZZY QUEUE MODEL

SYSTEM PERFORMANCE MEASURES OF A MACHINE INTERFERENCE FUZZY QUEUE MODEL

... The Machine interference problems are common in textile industries, where a number of automatic machines like thread cutting or wire drawing machines, are put under the change of a single operator. From time to time a ...

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A Comparative Analysis on Euclidean Measure In Intuitionistic Fuzzy Set And Interval-Valued Intuitionistic Fuzzy Set

A Comparative Analysis on Euclidean Measure In Intuitionistic Fuzzy Set And Interval-Valued Intuitionistic Fuzzy Set

... Intuitionistic Fuzzy set (IFS) was proposed in early ...in Fuzzy Mathematics, interval“ valued Intuitionistic Fuzzy sets (IVFS) were developed afterwards by Gargo and ...in Fuzzy such ...

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Evaluating Fuzzy Reliability System using Intuitionistic Fuzzy  Set

Evaluating Fuzzy Reliability System using Intuitionistic Fuzzy Set

... non-empty set . An intuitionistic fuzzy set 𝐴 in 𝑋 is an object having the from = {< 𝑥 , 𝜇 𝐴 (𝑥), 𝑉 𝐴 (𝑥) >∶ 𝑥 ∈ 𝑋 } , where the functions 𝜇 𝐴 (𝑥), 𝑉 𝐴 (𝑥): 𝑋 ⟶ [0,1] defined respectively , the ...

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Fuzzy Parameterized Generalized Intuitionisitic Fuzzy Soft Expert Set

Fuzzy Parameterized Generalized Intuitionisitic Fuzzy Soft Expert Set

... of Fuzzy Parameterized Generalized Intuitionisitic Fuzzy Soft Expert Set (FPGIF- SES for ...of Fuzzy parameterized Generalised Intuitionisitic Fuzzy Soft Expert Set namely ...

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Extension of the fuzzy integral for general fuzzy set valued information

Extension of the fuzzy integral for general fuzzy set valued information

... intelligence: fuzzy set theory and fuzzy logic, neural networks, and evolutionary computation with a focus on prob- lems in computer vision, pattern recognition, and information fusion including ...

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