2014
DOI: 10.1002/dac.2833
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An analytic network process and trapezoidal interval‐valued fuzzy technique for order preference by similarity to ideal solution network access selection method

Abstract: Next generation wireless networks consist of many heterogeneous access technologies that should support various service types with different quality of service (QoS) constraints, as well as user, requirements and provider policies. Therefore, the need for network selection mechanisms that consider multiple factors must be addressed. In this paper, a network selection method is proposed by applying the analytic network process to estimate the weights of the selection criteria, as well as a fuzzy version of tech… Show more

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Cited by 23 publications
(21 citation statements)
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“…based on the received signal strength, the available bandwidth etc.) [5], game theory algorithms [6], genetic algorithms [7], artificial intelligence and fuzzy logic [8][9][10], neural networks, multi-attribute decision-making (MADM) methods [11][12][13][14][15], and hybrid methods combining more than one methodology [16][17][18][19]. However, the majority of these algorithms are either basic and thus inefficient or too complex that it could cause additional computational overhead, which could, in turn, break the current session.…”
Section: Vh Negotiationmentioning
confidence: 99%
“…based on the received signal strength, the available bandwidth etc.) [5], game theory algorithms [6], genetic algorithms [7], artificial intelligence and fuzzy logic [8][9][10], neural networks, multi-attribute decision-making (MADM) methods [11][12][13][14][15], and hybrid methods combining more than one methodology [16][17][18][19]. However, the majority of these algorithms are either basic and thus inefficient or too complex that it could cause additional computational overhead, which could, in turn, break the current session.…”
Section: Vh Negotiationmentioning
confidence: 99%
“…(3) In this situation, since one packet loss occurs in one round, the packet loss probability, p, is represented as follows: (3) In this situation, since one packet loss occurs in one round, the packet loss probability, p, is represented as follows:…”
Section: Theoretical Analysis On the Effect Of Tcp Congestion Controlmentioning
confidence: 99%
“…(W∕2) + (W∕2 + 1) + · · · + (W∕2 + W∕2) ≃ 3W 2 ∕8. (3) In this situation, since one packet loss occurs in one round, the packet loss probability, p, is represented as follows:…”
Section: Figurementioning
confidence: 99%
“…Multiple Criteria Group Decision Making (MCGDM) is a decision-making method to determine the best alternative from a set of alternatives with using alternative preferences as election criteria [1]. Some MCGDM methods include Simple Additive Weighting (SAW), Weighted Product (WP), Elimination and Choice Express Reality (ELECTRE), Technique for Order Preferences of Similarity Ideal Solution (TOPSIS), and Analytic Hierarchy Process (AHP) [2]. AHP is one of the most widely used MCGDM approaches.…”
Section: Introductionmentioning
confidence: 99%
“…315FANP and IV FTOPSIS for network access selection[2], combine DEMATEL and TOPSIS based on interval Fuzzy[13,14]. The study states that the Fuzzy Interval value is the expansion of Fuzzy, with the value of the Fuzzy membership function in the interval form.…”
mentioning
confidence: 99%