scholarly journals A Use of Fuzzy TOPSIS to Improve the Network Selection in Wireless Multiaccess Environments

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Mouad Mansouri ◽  
Cherkaoui Leghris

Constantly faster, mobile terminals are developing, as well as wireless networks, to satisfy the growth of “Always Best Connected” demand. Users nowadays want to access the best available wireless network, either from 3GPP or IEEE group technologies, wherever they are, without losing their sessions. Consequently, mobile terminals must seamlessly transfer the communications to another access technology (vertical handover) if needed, as they often move into heterogeneous wireless environments. This work aims to optimize the network selection step in the vertical handover process. Multiattribute Decision-Making methods naturally fit this context. Nevertheless, they make wrong handover decisions sometimes, due to imprecise data collected from the metrics. This manuscript presents the use of a hybrid method, combining the fuzzy technique for order preference by similarity to the ideal situation and fuzzy analytic network process, in the network selection, to improve the quality of service and avoid, as much as possible, unnecessary handovers. The results demonstrate that this combination is the best, compared to the other methods of the same type in the network selection context.

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Hisham Alidrisi

This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers.


Author(s):  
Emmanouil Skondras ◽  
Konstantina Siountri ◽  
Angelos Michalas ◽  
Dimitrios D. Vergados

Virtual tours using drones enhance the experience the users perceive from a place with cultural interest. Drones equipped with 360o cameras perform real-time video streaming of the cultural sites. The user preferences about each monument type should be considered in order to decide the appropriate flying route for the drone. This article describes a scheme for supporting personalized real-time virtual tours at sites with cultural interest using drones. The user preferences are modeled using the MPEG-21 and the MPEG-7 standards, while Web Ontology Language (OWL) ontologies are used for metadata structure and semantics. The Metadata-Aware Analytic Network Process (MANP) algorithm is proposed in order to weigh the user preferences for each monument type. Subsequently, the Trapezoidal Fuzzy Topsis for Heritage Route Selection (TFT-HRS) algorithm ranks the candidate heritage routes. Finally, after each virtual tour, the user preferences metadata are updated in order in order the scheme to continuously learn about the user preferences.


2020 ◽  
Vol 12 (10) ◽  
pp. 4044
Author(s):  
Marko Stokic ◽  
Davor Vujanovic ◽  
Dragan Sekulic

The efficient vehicle procurement is an important business segment of different companies with their own vehicle fleet. It has a significant influence on reducing transport and maintenance costs and on increasing the fleet’s energy efficiency. It is indispensable that managers consider various criteria from several aspects when procuring a vehicle. In that sense, we defined 13 relevant criteria and divided them into four multidisciplinary aspects: Construction-technical, financial, operational, and environmental. Decision-Making Trial and Evaluation Laboratory-Based Analytic Network Process (DANP) method was applied to evaluate the significance of defined criteria and aspects and their interdependency. It is established that the three most important criteria for vehicle procurement are vehicle price, vehicle maintenance, and vehicle selling price. The most important aspect is construction technical aspect, while the aspect of the environment is the least important. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used to rank eight different vehicles, which were considered by vehicle fleet manager at the observed company. This model assists fleet managers in the selection of the most suitable vehicle for procurement, while significantly reducing decision-making time and simultaneously observing all necessary criteria and their weights. Moreover, we have considered 10 different scenarios to establish whether and how the rank of the observed alternatives would change.


2020 ◽  
Vol 13 (12) ◽  
pp. 3747-3765
Author(s):  
Rahmi Baki

Purpose The purpose of this study is to develop a useful, effective and comprehensive approach to facilitate the evaluation of hotel websites. Design/methodology/approach The paper examines the literature evaluating e-commerce sites, particularly that is focused on hotel, tourism and travel. Moreover, 5 criteria and 19 sub-criteria are identified, and a two-step method is proposed for the assessment of hotel websites whereby the global weights of the proposed criteria are determined by the fuzzy analytic hierarchy process, and hotel websites are ranked through the fuzzy technique for order preference by similarity to ideal situation. Findings The results show that the leading criteria to effectively evaluate hotel websites are trust and information quality and that the most important sub-criteria are special discounts, assurance and reservation information. Practical implications This research offers practical advice to increase understanding of the determinants of an effective hotel website so that appropriate strategies can be developed to convert a website visitor into a customer. Originality/value The study aims to contribute to businesses operating in the tourism sector which seeks to increase the effectiveness of their websites by identifying criteria and proposing a methodology for hotel website evaluation.


2019 ◽  
Vol 01 (03) ◽  
pp. 160-171 ◽  
Author(s):  
Duraipandian M

The seamless communication between the devices of the heterogeneous wireless networks still remains as a challenge due to the delay incurred, the cost difference and the bandwidth variations.so it becomes necessary for a perfect management of the hand over and the selection of the network to provide a continuous conveyance in the broadcasting or the sharing of the information’s. So the paper initiates an enhanced network selection and a vertical hand over schema that is context aware and based on the user preference utilizing the grey relational analysis integrated with the particle swarm optimization. The performance analysis of the proposed method of vertical handover evinces the perfect network selection that enables a continuous connection for the heterogeneous networks and shows an enhanced throughput and latency in handover compared to the other methods like TOPSIS (technique for order preference by similarity to ideal solution) and SAW(simple additive weighting).


2019 ◽  
Vol 161 (A3) ◽  

Container ships are the type of ships that produce the most emissions in maritime transport. In container transportation not only in navigation but also at container ports, a lot of emissions are formed. Ports are generally close by and highly interacted with the inner parts of the city, the impacts of the gas emissions are quite high on people. The study investigated port selection criteria, in terms of cost, efficiency and especially in terms of environmental impacts in order to create awareness. Container port selection problem was solved using fuzzy TOPSIS (The Technique for Order Preference by Similarity to Ideal Situation) method considering the perspective of carriers. In the study, the container port selection was carried out among the four largest container ports in Turkey.


Author(s):  
Emmanouil Skondras ◽  
Konstantina Siountri ◽  
Angelos Michalas ◽  
Dimitrios D. Vergados

Virtual tours using drones enhance the experience the users perceive from a place with cultural interest. Drones equipped with 360o cameras perform real-time video streaming of the cultural sites. The user preferences about each monument type should be considered in order to decide the appropriate flying route for the drone. This article describes a scheme for supporting personalized real-time virtual tours at sites with cultural interest using drones. The user preferences are modeled using the MPEG-21 and the MPEG-7 standards, while Web Ontology Language (OWL) ontologies are used for metadata structure and semantics. The Metadata-Aware Analytic Network Process (MANP) algorithm is proposed in order to weigh the user preferences for each monument type. Subsequently, the Trapezoidal Fuzzy Topsis for Heritage Route Selection (TFT-HRS) algorithm ranks the candidate heritage routes. Finally, after each virtual tour, the user preferences metadata are updated in order in order the scheme to continuously learn about the user preferences.


Author(s):  
Mohamed Lahby ◽  
Leghris Cherkaoui ◽  
Abdellah Adib

In this work, the authors have proposed a new technique for network selection decision. This technique combines two multi attribute decision making (MADM) methods. The analytic network process (ANP) method to find the differentiate weights of available networks by considering each criterion and the grey relational analysis (GRA) method to rank the alternatives. To show the effectiveness of our technique we have presented the simulation results of four traffic classes namely background, conversational, interactive and streaming.


2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Kuei-Lun Chang

This study develops a hybrid multiple criteria decision making (MCDM) model to select program projects for nonprofit TV stations on the basis of managers’ perceptions. By the concept of balanced scorecard (BSC) and corporate social responsibility (CSR), we collect criteria for selecting the best program project. Fuzzy Delphi method, which can lead to better criteria selection, is used to modify criteria. Next, considering the interdependence among the selection criteria, analytic network process (ANP) is then used to obtain the weights of them. To avoid calculation and additional pairwise comparisons of ANP, technique for order preference by similarity to ideal solution (TOPSIS) is used to rank the alternatives. A case study is presented to demonstrate the applicability of the proposed model.


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