TOPSIS-based dynamic approach for mobile network interface selection

Senouci, Mohamed Abdelkrim; Mushtaq, M. Sajid; Hoceini, Saïd; Mellouk, Abdelhamid

doi:10.1016/j.comnet.2016.04.012

Cited by 66 publications

(31 citation statements)

References 12 publications

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“…According to Yong, when a new alternative which was not thought of when the decisionmaking process was initiated, is introduced or an existing one is removed the relative ranks are reversed [33]. Senouci and Mushtaq illustrated the problem of rank reversal in the TOPSIS method [34]. Similarly, Ziemba and Kong demonstrated how this problem affects the results of the Analytical Network Process in their respective papers [35] [36].…”

Section: Literature Reviewmentioning

confidence: 99%

Development of a New Hybrid Multi Criteria Decision-Making Method for a Car Selection Scenario

et al. 2020

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Increasing competition in the automobile industry has led to a vast variety of choices when buying a car thus making car selection a tedious task. The objective of this research is to develop a new hybrid multi-criteria decision-making technique, with accuracy greater than that of the already existing methods, in order to help the people in decision-making while buying a car. Hence, considering a broader spectrum, this study aims at easing the process of multi-criteria decision-making problems in different fields. To achieve the objective, seven different alternatives were evaluated with respect to the enlisted evaluation criteria, which were selected after analyzing the secondary data obtained from Pak wheels based on style, fuel economy, price, comfort and performance. These criteria were then analyzed using the proposed Full Consistency Fuzzy TOPSIS method. As the name tells, this method is a unique combination of two techniques. The Full Consistency method is used to calculate the weights of the criteria while the Fuzzy TOPSIS approach is applied to rank the alternatives according to their scores in the selected criteria. The outcomes demonstrate an increase in the consistency ratio of the weight coefficients due to which the ranking of the alternatives by the FCF-TOPSIS is more accurate than the TOPSIS and the Analytical Hierarchy Process. The novelty of the method lies in the fact that this combination has not been used for an alternative selection scenario before. In addition to this, it can be used in various industries where a choice between the available alternatives arises based on a set of evaluation criteria.

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Section: Literature Reviewmentioning

confidence: 99%

Development of a New Hybrid Multi Criteria Decision-Making Method for a Car Selection Scenario

et al. 2020

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“…Since the mobility is a key feature in wireless and mobile networks, several dynamic network selection solutions were proposed in mobile networks [11,16,17].…”

Section: Dynamic-aware Network Selection Solutionsmentioning

confidence: 99%

“…To reduce the abnormal selection in mobile environments, an enhanced TOPSIS with fast decision speed was proposed [17]. It decreased the normalization impact of changes of network statuses on the rank order with several improved normalized methods.…”

Section: Dynamic-aware Network Selection Solutionsmentioning

confidence: 99%

“…(3) for CN ∈ CN do (4) for ∈ X do (5) = Fuzzy( ); (6) end for (7) end for (8) for ∈ S do (9) = Fuzzy( ); (10) end for (11) for ∈ S do (12) for CN ∈ CN do (13) Calcula t eSa t ; (14) Sa t * ⇒ Sd ; (15) end for (16) if ∀Sd ! = 0 then (17) Se lectCN with best value Sd ; (18) else if ∀Sd == 0 then (19) Se lectCN with best value of preferential attribute ; (20) end if (21) end for (22) end while…”

Section: Fuzzy Processingmentioning

confidence: 99%

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Fuzzy and Utility Based Network Selection for Heterogeneous Networks in High-Speed Railway

Yan

Dong

Zheng

et al. 2017

Wireless Communications and Mobile Computing

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Due to the complexity and fluctuation of the wireless network statuses in the high-speed railway scenario, the existing works of the network selection problem in heterogeneous wireless networks face two major challenges, that is, the imprecise statuses and mobility. In this paper, we propose FSNS, a novel dynamic imprecise-aware network selection approach to solve the problems. The imprecise statuses are inferred by fuzzy rules and the status-awareness feature of the status monitor module enables a dynamic network selection. Through the status monitor and fuzzy processing modules, FSNS is formulated as utility functions for meeting quality-of-service (QoS) requirements. What is more, we carry out plenty of simulation experiments and compare FSNS approach with an enhanced TOPSIS method and fuzzy MADM (FMADM) scheme through simulation experiments of two types of services. The results indicate that FSNS outperforms both TOPSIS and FMADM for a good performance improvement and a preferable decision to keep relative stability and reduce abnormal selections. The conclusion of experimental results has some extent pragmatic value since the network statuses of the simulation are complex and fluctuate by real-world data from high-speed railways.

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“…[12]. Like AHP the TOPSIS technique has been used for different applications: evaluated the modes of operation of global positioning systems [13], in the classification of projects in a participatory budget [14], for the selection of wireless mobile communications network interface [15].…”

Section: Introductionmentioning

confidence: 99%

Ranking of companies in Colombia based on their financial statements: a multi-criteria approach

Alfonso¹,

Jose²,

Carlos³

2018

ces

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Company's rankings are usually based on a single criterion, so that results vary according to the criterion used. The objective of this paper is to make a ranking of companies in Colombia in the period from 2012 to 2016 using an approach multicriteria based on their financial statements in a dataset a sample of 40 companies. This classification was carried out by combining two techniques: the fuzzy analytical hierarchy process (fuzzy AHP) and the technique of preference for similarity to the ideal solution (TOPSIS). With the fuzzy AHP the weightings of the selected criteria are obtained, and then with the TOPSIS technique the ratings of the different companies are made.

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TOPSIS-based dynamic approach for mobile network interface selection

Cited by 66 publications

References 12 publications

Development of a New Hybrid Multi Criteria Decision-Making Method for a Car Selection Scenario

Development of a New Hybrid Multi Criteria Decision-Making Method for a Car Selection Scenario

Fuzzy and Utility Based Network Selection for Heterogeneous Networks in High-Speed Railway

Ranking of companies in Colombia based on their financial statements: a multi-criteria approach

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