scholarly journals Selection of Social Media Applications for Ubiquitous Learning using Fuzzy TOPSIS

2021 ◽  
Author(s):  
Caitlin Sam
Keyword(s):  
Social Media ◽  
Fuzzy Topsis ◽  
Information And Communications Technology ◽  
Ubiquitous Learning ◽  
Order Preference ◽  
Intelligent Decision Support Systems ◽  
Topsis Technique ◽  
Everyday Learning ◽  
Media Applications ◽  
Intelligent Decision Support

The exponential advancements in Information and Communications Technology has led to its prevalence in education, especially with the arrival of COVID-19. Ubiquitous learning (u-learning) is everyday learning that happens irrespective of time and place and it is enabled by m-learning, elearning, and social computing such as social media. Due to its popularity, there has been an expansion of social media applications for u-learning. The aim of this research paper was to establish the most relevant social media applications for ulearning in schools. Data was collected from 260 respondents, which comprised learners, and instructors in high schools who were asked to rank 14 of the top social media applications for ubiquitous learning. Fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) was the method employed for the ranking of the 14 of the most popular social media applications using 15 education requirements, 15 technology criteria, and 260 decision makers. The simulation was implemented on MATLAB R2020a. The results showed that YouTube was the most likely social media application to be selected for u-learning with a closeness coefficient of 0.9188 and that Viber was the least likely selected social media application with a closeness coefficient of 0.0165. The inferences of this research study will advise researchers in the intelligent decision support systems field to reduce the time and effort made by instructors and learners to select the most beneficial social media application for u-learning

scholarly journals Supplier selection using different metric functions

2015 ◽  
Vol 25 (3) ◽  
pp. 413-423 ◽  
Author(s):  
S.E. Omosigho ◽  
Dickson Omorogbe
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Order Preference ◽  
Metric Functions ◽  
Metric Function ◽  
Topsis Technique ◽  
Intuitionistic Fuzzy Topsis ◽  
Selection Of

Supplier selection is an important component of supply chain management in today?s global competitive environment. Hence, the evaluation and selection of suppliers have received considerable attention in the literature. Many attributes of suppliers, other than cost, are considered in the evaluation and selection process. Therefore, the process of evaluation and selection of suppliers is a multi-criteria decision making process. The methodology adopted to solve the supplier selection problem is intuitionistic fuzzy TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution). Generally, TOPSIS is based on the concept of minimum distance from the positive ideal solution and maximum distance from the negative ideal solution. We examine the deficiencies of using only one metric function in TOPSIS and propose the use of spherical metric function in addition to the commonly used metric functions. For empirical supplier selection problems, more than one metric function should be used.

scholarly journals Fuzzy Topsis in the Assessment of OHS Management System

2019 ◽  
Vol 1 (1) ◽  
pp. 18-25
Author(s):  
Joanna Tabor
Keyword(s):  
Health And Safety ◽  
Fuzzy Topsis ◽  
Point Of View ◽  
Assessment Criteria ◽  
Management Systems ◽  
Manufacturing Companies ◽  
Topsis Method ◽  
Furniture Manufacturing ◽  
Order Preference ◽  
Topsis Technique

AbstractOccupational health and safety (OHS) management is a cycle of decision-making processes, many of which are in fact multi-criterion processes in nature. Therefore, it is important to look for and develop tools to support decision-makers in their actions aimed at improving work safety levels. The objective of this paper is to propose and verify the fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method applied to compare and assess the ways OHS management systems function in different companies. The fuzzy TOPSIS method has already been used for a number of years in assessments of alternative solutions in many different areas, but the application that uses ordered fuzzy numbers is quite original in nature. It is especially beneficial to use the fuzzy approach in OHS management systems, as it makes it possible for experts to assess different criteria using most frequently used linguistic variables. The adopted approach was verified in the study of OHS management systems in four furniture manufacturing companies. Assessment criteria were requirements of the PN-N 18001: 2004 Standard. Thanks to the ordered fuzzy TOPSIS method, the analysed OHS management systems were streamlined from the point of view of 24 assessment criteria, and the best and the worst functioning system was identified. The approach presented here may constitute a significant tool for improving OHS management systems.

scholarly journals Multi-Criteria Decision Making Using TOPSIS Method Under Fuzzy Environment. Application in Spillway Selection

Proceedings ◽  
2018 ◽  
Vol 2 (11) ◽  
pp. 637 ◽  
Author(s):  
Vasiliki Balioti ◽  
Christos Tzimopoulos ◽  
Christos Evangelides
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Topsis Method ◽  
Northern Greece ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Optimum Type ◽  
Topsis Technique ◽  
Selection Of

The selection of an appropriate spillway has a significant effect to the construction of a dam and several procedures and considerations are needed. In the past, this selection of the type of the spillway was arbitrary and sometimes with bad results. Recently the Multiple Criteria Decision Making theory has given the possibility to make a decision about the optimum form of a spillway under complex circumstances. In this paper, the above method is used and especially the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method for the selection of a spillway for a dam in the district of Kilkis in Northern Greece—‘Dam Pigi’. As the criteria were fuzzy and uncertain, the Fuzzy TOPSIS method is introduced together with the AHP (Analytic Hierarchy Process), which is used for the evaluation of criteria and weights. Five types of spillways were selected as alternatives and nine criteria. The criteria are expressed as triangular fuzzy numbers in order to formulate the problem. Finally, using the Fuzzy TOPSIS method, the alternatives were ranked and the optimum type of spillway was obtained.

scholarly journals MODEL PENILAIAN KONTRAKTOR PADA PROYEK KETENAGALISTRIKAN MENGGUNAKAN METODE AHP DAN FUZZY TOPSIS

BISMA ◽  
2018 ◽  
Vol 12 (3) ◽  
pp. 272
Author(s):  
Dodi Angga Kusuma ◽  
Bambang Syairuddin ◽  
Fuad Achmadi
Keyword(s):  
Customer Satisfaction ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Procurement Process ◽  
Solution Models ◽  
Production Experience ◽  
Order Preference ◽  
Topsis Technique ◽  
Price Quotes ◽  
Selection Of

Abstract: The objective of this study is to analyze the contractor assessmentmodel for the electricity project. This study focused on the procurement process ofgoods/services for the construction of a 500 kV Duri Kosambi Gas InsulatedSwitchgear Tegangan Ekstra Tinggi (GISTET). The sample consisted of 2 (two)contractors, i.e., PT CA and PT PCE. Data were analyzed using AHP (AnalyticalHierarchy Process) and Fuzzy TOPSIS (Technique for Order Preference bySimilarity to Ideal Solution) models. Referring to AHP and Fuzzy TOPSIS models,the selection of project contractor was based on 3 (three) main criteria:administration, technical, price, and 10 (ten) sub criteria: financial qualificationdocuments, documents from the bank, list of jobs in the implementation, TKDN,manufacturer's production experience, customer satisfaction certificates, technicalspecifications, brochure and TPG, price quotes, and fairness of offers. The resultsof the assessment showed that PT CA with the value of 0.723 was the bestcontractor for the project.Keywords: Procurement, Electricity Project, AHP, and Fuzzy TOPSIS.Abstrak: Tujuan dari penelitian ini adalah untuk menganalisis model penilaiankontraktor pada proyek ketenagalistrikan. Fokus penelitian adalah pada pemilihanpenyedia barang/jasa untuk pembangunan Gas Insulated Switchgear TeganganEkstra Tinggi (GISTET) 500 kV Duri Kosambi. Metode analisis yang digunakanadalah metode AHP (Analytical Hierarcy Process), dan Fuzzy TOPSIS. Pemilihankontraktor proyek dengan model AHP dan Fuzzy TOPSIS menggunakan 3 (tiga)kriteria utama, yaitu: administrasi, teknis, dan harga, serta 10 (sepuluh) subkriteria, yaitu: dokumen kualifikasi keuangan, dokumen dari bank, daftar pekerjaandalam pelaksanaan, dokumen kualifikasi finansial, TKDN, pengalaman produksipabrikan, surat keterangan kepuasan pelanggan, spesifikasi teknis, brochure danTPG, penawaran harga, dan kewajaran penawaran. Hasil penilaian yang dilakukanmenunjukan bahwa PT CA dengan nilai 0,723 merupakan kontraktor terbaik.Kata Kunci: Pengadaan Barang dan Jasa, Proyek Ketenagalistrikan, AHP, danFuzzy TOPSIS

scholarly journals INTEGRATED APPROACH OF FUZZY MULTI-ATTRIBUTE DECISION MAKING AND DATA MINING FOR CUSTOMER SEGMENTATION

2021 ◽  
Vol 24 (4) ◽  
pp. 174-188
Author(s):  
Manidatta Ray ◽  
Mamata Ray ◽  
Kamalakanta Muduli ◽  
Audrius Banaitis ◽  
Anil Kumar
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Fuzzy Ahp ◽  
Integrated Approach ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Fuzzy C Means ◽  
Order Preference ◽  
Multi Attribute Decision Making ◽  
Topsis Technique

This research work focuses on integrating the multi attribute decision making with data mining in a fuzzy decision environment for customer relationship management. The main objective is to analyse the relation between multi attribute decision making and data mining considering a complex problem of ordering customers segments, which is based on four criteria of customer’s life time value, viz. length (L), recency (R), frequency (F) and monetary value (M). The proposed integrated approach involves fuzzy C-means (FCM) cluster analysis as data mining tool. The experiment conducted using MATLAB 12.0 for identifying eight clusters of customers. The two multi attribute decision making tools i.e., fuzzy AHP (Analytic Hierarchy Process) and fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) are used for ranking these identified clusters. The applicability of the integrated decision making technique is also demonstrated in this paper considering the case of Indian retail sector. This research collected responses from nine experts from Indian retail industry regarding their perception of relative importance of four criteria of customer life value and evaluated weights of each criterion using fuzzy AHP. Transaction data of 18 months of the case retail store was analysed to segment 1,600 customers into eight clusters using fuzzy c-means clustering analysis technique. Finally, these eight clusters were ranked using fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The findings of this research could be helpful for firms in identifying the more valuable customers for them and allocate more resources to satisfy them. The findings will be also helpful in developing different loyalty program strategies for customers of different clusters.

Mobile Wallets: Theoretical and Empirical Analysis

2020 ◽  
pp. 097215092096125
Author(s):  
Ashwarya Kapoor ◽  
Rajiv Sindwani ◽  
Manisha Goel
Keyword(s):  
Service Quality ◽  
Quality Measurement ◽  
Fuzzy Topsis ◽  
Quality Factors ◽  
Customer Base ◽  
Order Preference ◽  
Quality Dimensions ◽  
Service Quality Dimensions ◽  
Topsis Approach ◽  
Topsis Technique

Mobile wallets (m-wallet) have played a prominent role in changing our system of payment from cash to digital payment. The current study employs a systematic review of articles published on m-wallets between January 2008 and January 2020. To identify the relevant studies, research databases are searched using different keywords. Research articles published on m-wallets are selected based on particular inclusion criteria and clustered on the basis of keywords, abstract and title. To ensure a reasonable accuracy in the selection and grouping of published literature, suggestions of experts are taken into consideration. The articles on m-wallets are categorized on the basis of their themes. Eight dominant themes are identified by the authors. The findings suggest that although m-wallets have been in existence for more than a decade, there is hardly any study related to m-wallet service quality measurement. Thus, the authors propose 10 dimensions to measure the service quality of m-wallets based on the extensive review of studies on electronic services (e-services) and m-wallets. The proposed dimensions of m-wallet service quality are prioritized using the fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) approach. The m-wallet service quality dimensions proposed in the article will help practitioners to develop strategies for building a customer base. Moreover, the results of the fuzzy TOPSIS technique employed in this study will apprise managers about critical quality factors that need sincere attention for gaining competitive advantage and retaining customers.

Fuzzy TOPSIS based selection index in the planning of emergency service facilities locations and goods transportation

2021 ◽  
pp. 1-14
Author(s):  
Gia Sirbiladze ◽  
Bidzina Matsaberidze ◽  
Bezhan Ghvaberidze ◽  
Bidzina Midodashvili ◽  
David Mikadze
Keyword(s):  
Emergency Service ◽  
Selection Index ◽  
Exact Algorithm ◽  
Fuzzy Topsis ◽  
Second Phase ◽  
Distribution Centers ◽  
Solution Approach ◽  
Order Preference ◽  
Two Phases ◽  
Topsis Technique

The attributes influencing the decision-making process in planning transportation of goods from selected facilities locations in disaster zones are considered. Experts evaluate each candidate for humanitarian aid distribution centers (HADCs) (service centers) against each uncertainty factor in q-rung orthopair fuzzy sets (q-ROFS). For representation of experts’ knowledge in the input data for planning emergency service facilities locations a q-rung orthopair fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) approach is developed. Based on the offered fuzzy TOPSIS aggregation a new innovative objective function is introduced which maximizes a candidate HADC’s selection index and reduces HADCs opening risks in disaster zones. The HADCs location and goods transportation problem is reduced to the bi-criteria problem of partitioning the set of customers by the set of service centers: 1) Minimization of opened HADCs and goods transportation total costs; 2) Maximization of HADCs selection index. Partitioning type transportation constraints are also constructed. Our approach for solving the constructed bi-criteria partitioning problem consists of two phases. In the first phase, based on the covering’s matrix, we generate a new matrix with columns allowing to find all possible partitioning of the demand points with the opened HADCs. In the second phase, using the generated matrix and our exact algorithm we find the partitioning –allocations of the HADCs to the centers corresponded to the Pareto-optimal solutions. The constructed model is illustrated with a numerical example.

scholarly journals Assessment of Students' Familiarity, Adoption, and Use of Social Media in Bahrain

2016 ◽  
Vol 7 (4) ◽  
pp. 82-90 ◽  
Author(s):  
Vasileios Paliktzoglou ◽  
Charalampos Giousmpasoglou ◽  
Evangelia Marinakou
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Empirical Study ◽  
Social Communication ◽  
Education Students ◽  
Culture Of Learning ◽  
Frequency Of Use ◽  
Use Of Social Media ◽  
Everyday Learning ◽  
Media Applications

Social media is used in many higher education institutions for educational purposes in numerous new and innovative ways. However, in Bahrain the number of higher education students who are aware of and use social media is not clear. It was therefore necessary to conduct an empirical study that would investigate the students' use of social media in higher education in Bahrain. Moreover, the actual adoption of social media in everyday learning situations still remain underexplored, especially in higher education settings. This paper describes a study conducted to investigate the influence of social media use by student in Bahrain. The aims of this study are to assess students' level of familiarity, engagement and frequency of use with social media. The data was collected using two questionnaires. The findings indicate that social media has introduce a new culture of learning among students. In addition, social media applications which are on the increase in usage by students for activities that include studying, access of education content, social communication.

scholarly journals Dimensionality Reduction of Social Media Application Attributes for Ubiquitous Learning Using Principal Component Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Caitlin Sam ◽  
Nalindren Naicker ◽  
Marion Adebiyi
Keyword(s):  
Social Media ◽  
Principal Component Analysis ◽  
Dimensionality Reduction ◽  
Research Study ◽  
Principal Component ◽  
Component Analysis ◽  
Ubiquitous Learning ◽  
School Based ◽  
Learning Platforms ◽  
Media Applications

Ubiquitous learning is anywhere and anytime learning using e-learning and m-learning platforms. Learning takes place regularly on mobile devices. School-based instructors and learners have capitalised on ubiquitous learning platforms in unprecedented times such as COVID-19. There has been a proliferation of social media applications for ubiquitous learning. There are a vast number of attributes of the social media applications that must be considered for it to be deemed suitable for education. Further to this, mobile and desktop accessibility criteria must be considered. The aim of this research study was to determine the high impacting and most pertinent criteria to evaluate social media applications for school-based ubiquitous learning. Data was collected from 30 experts in the field of teaching and learning who were asked to evaluate 60 criteria. Principal Component Analysis (PCA) was the method employed for the dimensionality reduction. PCA was implemented using singular value decomposition (SVD) on R-Studio. The results showed loading values from principal component one for the top 40 educational requirements and technology criteria of the 60 criteria used in the study. The implications of this research study will guide researchers in the field of Educational Data Mining (EDM) and practitioners on the most important dimensions to consider when evaluating social media applications for ubiquitous learning.

Sign in / Sign up

Export Citation Format

Share Document