Energy Aware Dynamic Mode Decision for Cellular D2D Communications by Using Integrated Multi-Criteria Decision Making Model

2020 ◽  
Vol 11 (3) ◽  
pp. 131-151 ◽  
Author(s):  
Loganathan Jayakumar ◽  
Ankur Dumka ◽  
S. Janakiraman
Keyword(s):  
Decision Making ◽  
Data Transfer ◽  
Selection Process ◽  
Mode Selection ◽  
Selection Problem ◽  
Dynamic Mode ◽  
Communication Link ◽  
Energy Aware ◽  
Coverage Area ◽  
Device To Device

Recent developments in mobile network communication increases the usage of the cellular users and their wideband data transfer. Sometimes, network operators may get overloaded because of voice and data transmission between nodes which are under the same coverage area. Cellular device-to-device communication is one of the emerging technologies to overcome current increasing demands for spectrum in cellular networks. It reduces network traffic at centralized terminal stations by enabling direct communication link between source and destination. Mode selection is one of the steps required to fix defined configuration for transmitting data between the pairs of nodes. In this article, the mode selection problem has been considered as multi-objective decision-making problem and applied classical multi-criteria decision models such as analytic hierarchy process and technique for order preference by similarity to the ideal solution models. From simulated results, combination of these two has been proven as the most promising combination for mode selection problem in cellular device-to-device communications under three different types of data services such as text, audio, and video. A dynamically mode selection process has to be carried out with multiple factors which are affecting the performance of the system using proposed model.

Delay-Optimal Dynamic Mode Selection and Resource Allocation in Device-to-Device Communications—Part I: Optimal Policy

2016 ◽  
Vol 65 (5) ◽  
pp. 3474-3490 ◽  
Author(s):  
Lei Lei ◽  
Yiru Kuang ◽  
Nan Cheng ◽  
Xuemin Sherman Shen ◽  
Zhangdui Zhong ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Optimal Policy ◽  
Mode Selection ◽  
Dynamic Mode ◽  
Device To Device ◽  
Optimal Dynamic

An Improved TOPSIS Method for Material Selection Model

2014 ◽  
Vol 951 ◽  
pp. 120-123
Author(s):  
Wei Fan Huang
Keyword(s):  
Decision Making ◽  
Influencing Factors ◽  
Material Science ◽  
Material Selection ◽  
Selection Process ◽  
Selection Problem ◽  
Entropy Measure ◽  
Multi Criteria Decision Making ◽  
Topsis Method ◽  
Science Field

Material selection problem becomes an important issue in the material science field. It is important for design for mechanical, electrical, thermal, chemical et al. There are several influencing factors in the material selection process, and thus material selection problem is a multi-criteria decision making (MCDM) problem. Relative entropy measure can depict the closeness of the two systems, and then this paper will use it to develop an improved TOPSIS method for the material selection problem. Finally, a practical example is given to demonstrate that the proposed method is effective and feasible.

The selection model for horizontal alliances between hotels and airlines: an integrated application of NGT, fuzzy TOPSIS and MCGP methods

2020 ◽  
Vol 75 (4) ◽  
pp. 681-698 ◽  
Author(s):  
Yan-Kai Fu ◽  
Weilun Huang ◽  
Chin-Nung Liao
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Evaluation Model ◽  
Operating Cost ◽  
Fuzzy Topsis ◽  
Point Of View ◽  
Evaluation Framework ◽  
Selection Problem ◽  
Content Type ◽  
Business Goals

Purpose The purpose of this paper is to evaluate the hotel selection problem of airlines for their hotel and airline alliance (HAA) to develop potential customers of airlines. This paper will propose a hybrid mathematics evaluation model to help airline to select an optimal hotel with both qualitative and quantitative criteria. Design/methodology/approach To solve the hotel selection problem of airlines for their HAA, this paper focuses on the implementation of the NGT, Fuzzy TOPSIS and MCGP models in the hotel selection process. Initially, the NGT was used to create HAA decision-making criteria based on the literature review and expert opinions, and it was found that scale and scope possibility, brand value, tourism attraction, operating cost and industrial conditions are the most important criteria. Later, the Fuzzy TOPSIS method was used to obtain the general normalized fuzzy preference and to compute the closeness coefficients of each alternative hotel with respect to each criterion. Third, five tangible constraints were incorporated into the Fuzzy TOPSIS-MCGP model to calculate the optimal hotel with LINGO software. Findings Airline managers can use the proposed model to form a clear view of how to choose the most suitable hotel to cooperate with to outperform their competitors. Having access to this information allows airline managers to take steps to perform better and improve the performance of the partnership, helping them to gain more confidence in their decision-making capabilities while reducing investment risks. Originality/value This is the first paper that has adopted Fuzzy TOPSIS-MCGP to select hotel for their HAA from the airline’s point of view. The major contributions of this study are as follows: an efficient and simple evaluation framework is proposed for handling vagueness and uncertainty in real-world hotel selection problems; the advancement of treating uncertainty in the MCDM process; the fuzzy TOPSIS-MCGP method is extended for such problems, taking into account tangible and intangible criteria; airline managers can now make decisions in choosing to select the best hotel for their HAA that meets the airline's business goals and passenger demands; hotel operators are flexible in selecting their airline partnership, thus creating greater profit for both parties.

scholarly journals Integrated Multicriteria Decision-Making Methods to Solve Supplier Selection Problem: A Case Study in a Hospital

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Serap Akcan ◽  
Meral Güldeş
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Supplier Selection ◽  
Hybrid Methods ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Health Care Sector ◽  
Selection Problem ◽  
Supplier Evaluation ◽  
Multicriteria Decision

In supply chain literature, supplier evaluation and selection problem is one of the most studied subjects because of the significant roles of suppliers in terms of the chain’s sustainability and profitability. Therefore, it is important for organizations to adopt a systematic way to evaluate and select the best supplier according to their respective criteria in today’s competitive environment. Multicriteria decision-making methods provide for this need of organizations because determination of an appropriate supplier selection is a multicriteria decision-making (MCDM) problem essentially. Although a lot of applications of these methods for supplier evaluation and selection can be seen in the literature, studies in the health-care sector are insufficient. Hospitals in the health-care sector also have to consider their supplier-related decisions to decrease risks and threads which affect their effectiveness. The aim of this study was to fill this gap by providing different hybrid models for selecting the best supplier for hospitals. Supplier evaluation and selection process start with recognizing the related criteria according to the studies in the literature. Analytic hierarchy process (AHP) method is deployed to weight the criteria, and suppliers are listed via technique for order preference by similarity to ideal solution (TOPSIS), elimination and choice translating reality English (ELECTRE), grey relational analysis (GRA), and simple additive weighting (SAW) methods. The main aim of this study was to present different hybrid MCDM methods and show their efficiency and consistency with each other. In this study, hybrid multicriteria decision-making models (AHP-TOPSIS, AHP-ELECTRE, AHP-GRA, and AHP-SAW) are presented and compared. The results show that the presented hybrid methods in this study are consistent with each other and give the same ranking for the selection of the best supplier. It can be considered as a useful guideline for hospitals.

scholarly journals The Impact of Social Media Use on Consumers’ Restaurant Consumption Experiences: A Qualitative Study

2021 ◽  
Vol 13 (12) ◽  
pp. 6581
Author(s):  
Jooyoung Hwang ◽  
Anita Eves ◽  
Jason L. Stienmetz
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Selection Process ◽  
Decision Making Process ◽  
Structured Interviews ◽  
High Standards ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality ◽  
Search For Information ◽  
The Impact

Travellers have high standards and regard restaurants as important travel attributes. In the tourism and hospitality industry, the use of developed tools (e.g., smartphones and location-based tablets) has been popularised as a way for travellers to easily search for information and to book venues. Qualitative research using semi-structured interviews based on the face-to-face approach was adopted for this study to examine how consumers’ restaurant selection processes are performed with the utilisation of social media on smartphones. Then, thematic analysis was adopted. The findings of this research show that the adoption of social media on smartphones is positively related with consumers’ gratification. More specifically, when consumers regard that process, content and social gratification are satisfied, their intention to adopt social media is fulfilled. It is suggested by this study that consumers’ restaurant decision-making process needs to be understood, as each stage of the decision-making process is not independent; all the stages of the restaurant selection process are organically connected and influence one another.

On Laplacian energy of picture fuzzy graphs in site selection problem

2021 ◽  
pp. 1-18
Author(s):  
Mahima Poonia ◽  
Rakesh Kumar Bajaj
Keyword(s):  
Decision Making ◽  
Site Selection ◽  
Upper Bounds ◽  
Selection Problem ◽  
Hydropower Plant ◽  
Fuzzy Graph ◽  
Fuzzy Information ◽  
Fuzzy Graphs ◽  
Laplacian Energy ◽  
Selection For

In the present work, the adjacency matrix, the energy and the Laplacian energy for a picture fuzzy graph/directed graph have been introduced along with their lower and the upper bounds. Further, in the selection problem of decision making, a methodology for the ranking of the available alternatives has been presented by utilizing the picture fuzzy graph and its energy/Laplacian energy. For the shake of demonstrating the implementation of the introduced methodology, the task of site selection for the hydropower plant has been carried out as an application. The originality of the introduced approach, comparative remarks, advantageous features and limitations have also been studied in contrast with intuitionistic fuzzy and Pythagorean fuzzy information.

Research on Material Selection with Multi-Attribute Decision Method and G1 Method

2014 ◽  
Vol 952 ◽  
pp. 20-24 ◽  
Author(s):  
Xue Jun Xie
Keyword(s):  
Material Selection ◽  
Selection Process ◽  
Selection Problem ◽  
Topsis Method ◽  
Attribute Weight ◽  
Multi Attribute Decision Making ◽  
Judgment Matrix ◽  
Optimal Material ◽  
Selection Of ◽  
Better Than

The selection of an optimal material is an important aspect of design for mechanical, electrical, thermal, chemical or other application. Many factors (attributes) need to be considered in material selection process, and thus material selection problem is a multi-attribute decision making (MADM) problem. This paper proposes a new MADM method for material selection problem. G1 method does not need to test consistency of the judgment matrix. Thus it is better than AHP. In this paper, firstly, we use the G1 method to determine the attribute weight. Then TOPSIS method is used to calculate the closeness of the candidate materials with respect positive solution. A practical material selection case is used to demonstrate the effectiveness and feasibility of the proposed method.

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