scholarly journals A Hybrid Approach Based on Fuzzy TOPSIS-AHP for Ranking and Classifying MOOC Key Acceptance Factors

2021 ◽  
Vol 16 (5) ◽  
pp. 1-20
Author(s):  
Neeraj Chopra ◽  
Rajiv Sindwani ◽  
Manisha Goel
Keyword(s):  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Online Course ◽  
Effective Management ◽  
Massive Open Online Course ◽  
Topsis Approach ◽  
Indian Perspective ◽  
Acceptance Factors

This investigation is done during COVID-19 to identify, rank, and classify MOOC (massive open online course) key acceptance factors (KAFs) from an Indian perspective. A systematic literature review identifies 11 KAFs of MOOC. One more novel factor named ‘contingent instructor' is proposed by the authors considering pandemic and new normal post-COVID-19. The paper implements two popular fuzzy MCDM (multiple-criteria decision-making) techniques, namely fuzzy TOPSIS and fuzzy AHP, on 12 KAFs. The fuzzy TOPSIS approach is used to rank factors. Affordability, performance expectancy and digital didactics are found as the top three KAFs. Fuzzy AHP classified KAFs into three groups, namely high, moderate, and low influential. Examination of the literature indicates that this study is among the first attempt to prioritize and classify MOOC KAFs using fuzzy TOPSIS and fuzzy AHP approach. The results offer managerial guidance to stakeholders for effective management of MOOC, resulting in higher acceptance rate. Likewise, this investigation will upgrade the comprehension of MOOC KAFs among academicians.

scholarly journals Prioritizing the Solutions to Reverse Logistics Barriers for the E-Commerce Industry in Pakistan Based on a Fuzzy AHP-TOPSIS Approach

2021 ◽  
Vol 13 (22) ◽  
pp. 12743
Author(s):  
Muhammad Hamza Naseem ◽  
Jiaqi Yang ◽  
Ziquan Xiang
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Reverse Logistics ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Fuzzy Topsis ◽  
Extensive Literature ◽  
Forward Logistics ◽  
Reverse Logistics Management ◽  
Topsis Approach

In the past few years, reverse logistics practices have successfully managed to gain more attention in various industries and among supply chain researchers and experts. This is due to globalization, environmental concerns, and customer requirements, which have asserted industries’ concerns for reverse logistics management. In E-commerce, the process of reverse logistics originates with parcel refusal, undelivered goods, and exchanges. In developing countries like Pakistan, the adoption and implications of reverse logistics are still at their early stages. E-commerce companies give more attention to forward logistics and ignore logistics’ upstream flow in the supply chain. This study aims to identify, as well as list, the barriers and obtain the solutions to those identified barriers, and rank the barriers and their solutions so that logisticians and experts can solve them as per their priority. From the extensive literature review and experts’ opinions, we have found 14 barriers in implementing effective reverse logistics. Eight solutions to those barriers were also found from the literature review. This paper proposed the methodology based on fuzzy analytical hierarchy process (fuzzy-AHP), which used to get the weights of each barrier by using pairwise comparison, and fuzzy technique for order performance by similarity to ideal solution (fuzzy-TOPSIS) method, which was adopted for the final ranking of solutions to reverse logistics. The case of the Pakistan E-commerce industry is used in the proposed method.

Learning Through Massive Open Online Courses Platforms Based on Fuzzy Analytic Hierarchy Process

2019 ◽  
Vol 10 (3) ◽  
pp. 1-12 ◽  
Author(s):  
Yassine AFA ◽  
Amal BATTOU ◽  
Omar BAZ
Keyword(s):  
Analytic Hierarchy Process ◽  
Teaching Effectiveness ◽  
Online Courses ◽  
Fuzzy Ahp ◽  
Fuzzy Analytic Hierarchy Process ◽  
Online Course ◽  
Massive Open Online ◽  
Analytic Hierarchy ◽  
Massive Open Online Course ◽  
Hierarchy Process

The Massive Open Online Course (MOOC) concept has apprehended the interest of most of the actors in higher education. MOOC platforms are considered a crucial source of information for both learners and professors by offering hundreds of courses around the world. However, this technology has faced many challenges, particularly their low completion rates. The present article proposes the architecture of a framework using a Fuzzy Analytic Hierarchy Process algorithm (Fuzzy-AHP) to determine the triangular weight of the courses from the most widespread MOOCS in the literature. Weights of the courses are calculated by fuzzy numbers in line with the learning profile. The outcome of the proposed framework is to improve teaching effectiveness, facilitate learning among learners, encourage long life learning and maximize motivation as well as reducing the dropout rates.

scholarly journals Convenience store locations prioritization: a fuzzy TOPSIS-GRA hybrid approach

2020 ◽  
Vol 2 (4) ◽  
pp. 281-302
Author(s):  
Jyotdeep Singh ◽  
Parnika Tyagi ◽  
Girish Kumar ◽  
Saurabh Agrawal
Keyword(s):  
Fuzzy Ahp ◽  
Geographical Area ◽  
Hybrid Approach ◽  
Fuzzy Topsis ◽  
Population Characteristics ◽  
Convenience Store ◽  
Large Sample Size ◽  
National Capital Region ◽  
Content Type ◽  
National Capital

PurposeThe objective of the study is to develop a methodology to strategically rank store locations using criteria such as population, store site characteristics, economic considerations, competition and so on to select the most optimal retail convenience store location.Design/methodology/approachA case of National Capital Region, India, for a 24-h convenience store was considered for the study and the major criteria that affect the performance of a convenience store are identified, such as population characteristics, economic criteria, competition, consumer accessibility, store size, total cost, site attractiveness and security. Fuzzy AHP is utilized to find the weightage for each criteria and a combination of fuzzy TOPSIS and grey relational analysis (GRA) is applied to rank the alternative using these criteria weight. Further, results obtained are compared with results from fuzzy TOPSIS and fuzzy VIKOR methods. Sensitivity analysis is also performed for ensuring the robustness of the framework.FindingsIt is observed that outcomes do not change under various settling coefficient values, demonstrating that the methodology is very robust. The developed framework will be quite useful to diverse retailers looking to expand and generate substantial profits.Research limitations/implicationsA large sample size of number of locations encourages generalization of results. Strategic ranking of the selected locations is carried out on a few selected criteria. The study was limited by the designated geographical area.Originality/valueThe study contributes to the few available articles on convenience store selection using combination of fuzzy AHP, fuzzy TOPSIS and GRA for a developing country.

scholarly journals Can we really teach cognitive behavioral therapy with a massive open online course?

2020 ◽  
Vol 63 (1) ◽  
Author(s):  
Thomas Gargot ◽  
Nikitas A. Arnaoutoglou ◽  
Tiago Costa ◽  
Olga Sidorova ◽  
Natasha Liu-Thwaites ◽  
...  
Keyword(s):  
Cognitive Behavioral Therapy ◽  
Economic Model ◽  
Behavioral Therapy ◽  
Hybrid Approach ◽  
Online Course ◽  
Massive Open Online ◽  
Wide Audience ◽  
Massive Open Online Course ◽  
Cognitive Behavioural ◽  
Behavioural Therapies

Abstract A better training in psychotherapy is needed for psychiatry trainees. Online Cognitive Behavioural Therapies (CBT) could be a good solution. Free and wide audience course like Massive Open Online course (MOOCs) increase dissemination and accessibility of the training. However, the engagement needs to be improved. A hybrid approach seems relevant with the MOOC as an incentive. Beyond the promotion of the topic, a MOOC can be a promotion tool for the provider. The economic model of the MOOC needed to be taken into account to allow sustainability. To explore these elements, we take into account a survey taken during the 1st European Psychiatric Association MOOC about CBT.

scholarly journals Decision Modeling for Manufacturing Sustainability with Fuzzy Analytic Hierarchy Process

2017 ◽  
Vol 20 (1) ◽  
pp. 25-41 ◽  
Author(s):  
Lanndon A. Ocampo
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Analytic Hierarchy Process ◽  
Manufacturing Strategy ◽  
Analytic Hierarchy ◽  
Priority List ◽  
Hierarchy Process

This article intends to integrate sustainability and the classical manufacturing strategy (MS) into a coherent hierarchical decision-making framework that identifies the content of a sustainable MS using fuzzy analytic hierarchy process (fuzzy AHP). Instead of using the traditional fundamental scale of the AHP, linguistic variables with equivalent triangular fuzzy numbers (TFNs) are used to elucidate judgement of elements in pairwise comparisons. AHP, as a widely adopted tool in multiple criteria decision making (MCDM) problems, effectively handles the subjectivity and comprehensiveness of decision-making complexity that is structured hierarchically. Domain experts in MS and sustainability were asked to elicit judgement in AHP pairwise comparison approach. Results show the content strategy of the nine decision categories in manufacturing that addresses sustainability and competitiveness. A priority list of decisions is also presented which may guide decision-makers in resource allocation, medium- and long-range planning, and in formulating strategic initiatives. The main contribution of this article is the formulation of a sustainable MS from a hybrid approach that captures uncertainty and subjectivity in decision-making.

Selection of Green Suppliers Based on GSCM Practices

2017 ◽  
pp. 355-375 ◽  
Author(s):  
Akshay Kumar Uppala ◽  
Rishabh Ranka ◽  
J. J. Thakkar ◽  
Manupati Vijay Kumar ◽  
Shilpa Agrawal
Keyword(s):  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Industrial Sector ◽  
Fuzzy Analytical Hierarchy Process ◽  
Environmental Laws ◽  
Topsis Approach ◽  
Green Suppliers ◽  
Hierarchy Process ◽  
Selection Of

The environmental pressure from various stakeholders, particularly in the selection of green suppliers in the industrial sector, is alarming. The companies are realizing the significance of incorporating green practices in their daily operations. This chapter proposes a framework on the criteria of GSCM practices using MCDM analysis to select green suppliers for an Indian electronics company. The authors have collected the data from a set of 10 available suppliers. The authors use fuzzy AHP and fuzzy TOPSIS approach to rank the suppliers based on the decision makers' preferences on the selection of green suppliers using GSCM practices. The three dominating criteria concluded by the results are the commitment of senior management towards GSCM; product design that incorporates three R's policy for component, materials, and energy; abidance with environmental laws and auditing programs. This chapter carries out a comparison between Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy TOPSIS method to enhance the quality of decision making and validate the rankings.

scholarly journals Rank University Websites Using Fuzzy AHP and Fuzzy TOPSIS Approach on Usability

2015 ◽  
Vol 7 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Renuka Nagpal ◽  
◽  
Deepti Mehrotra ◽  
Pradeep Kumar Bhatia ◽  
Arun Sharma ◽  
...  
Keyword(s):  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
University Websites ◽  
Topsis Approach
Sign in / Sign up

Export Citation Format

Share Document