Fuzzy TOPSIS

Corrective feedback (CF) as a multifaceted practice needs to be explored from different perspectives. Achieving relative consensus among language teachers and experts in a particular context on the most effective CF strategy for monolingual and bilingual language learners appears to be understudied. As such, a fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) model was applied to accommodate varied and conflicting opinions in ranking the effect of three corrective feedback strategies including mid-focused oral metalinguistic CF, written metalinguistic CF, and oral/written metalinguistic CF. To this end, 79 monolingual Persians and 79 bilingual Turkmens aged between 13 and 18 from two language institutes in Golestan Province of Iran participated in the study comprising three experimental and one control group each. The experimental groups were provided with CF strategies on their most recurrent grammatical errors detected through pretests while the control groups received none. The results of the fuzzy TOPSIS approach ranked oral/written metalinguistic CF and oral metalinguistic CF as the best strategies for monolingual Persians and bilingual Turkmens respectively. The fuzzy TOPSIS approach provided experts with the opportunity to include their opinions on the weight of criteria and the impact of CF strategies towards enhancing the experts’ agreement on the issue. It was shown that a single CF strategy might not be appropriate for all EFL learners in different contexts. The approach also provided a framework for soliciting wider participation of the experts when conditions favor the application of multi-criteria decision-making methods, or speedier assessments are required.

The purpose of this paper is to identify and prioritise mobile wallet (m-wallet) key adoption factors (KAFs). 9 KAFs are proposed by authors on the basis of a systematic literature review. Authors have proposed one novel factor influencing adoption called 'contactless transactions' due to pandemic and new normal post-Covid-19. This has resulted in a total of 10 KAFs. The fuzzy TOPSIS approach is proposed to rank these key adoption factors (KAFs). Sensitivity analysis has also been conducted to check the robustness of the study. Examining the literature indicates that this study is among the first attempts to prioritise key adoption factors (KAFs) using fuzzy TOPSIS. The results show that perceived security, trust, performance expectancy, perceived ease of use and contactless transactions are among the top 5 adoption factors. The findings of this research will be beneficial for both academicians and practitioners. The key adoption factors (KAFs) proposed in the paper will help practitioners develop strategies for building a wider acceptance of m-wallet among customers. Moreover, the fuzzy TOPSIS technique discussed in this paper will apprise managers about critical factors to be focused upon. This study will provide an integrated framework for academicians to carry out further research in the field of mobile wallets.

INTRODUCTION: Iran has always been prone to natural disasters, such as hurricanes and earthquakes, which are followed by heavy financial and bodily harms. In this regard, it is crucial to have disaster management in the schools of Iran to protect the significant number of young people studying in schools. Therefore, school principals must be constantly prepared for disasters and develop disaster management plans. METHODS: The present study aimed to identify and prioritize the factors that affect the natural disaster preparedness of schools using the fuzzy analytic hierarchy process (FAHP) method. Moreover, another objective of this research was to rank the elementary schools in District 6 of Mashhad regarding their disaster preparedness with the fuzzy technique for order preference by similarity to ideal solution (FTOPSIS). In this research, first, the criteria and sub-criteria for disaster preparedness were obtained using the Delphi method and according to the opinions of experts. Afterward, the collected criteria and sub-criteria were ranked using the FAHP method. The statistical population of this research consisted of experts, including principals and experts in the studied schools (schools in District 6 of Mashhad) who were familiar with disaster management issues. In total, 10 experts were selected as the sample using the purposive sampling method. FINDINGS: Based on the results, the most important disaster preparedness factors in schools were building retrofit, adherence to basic standards, and committee formation, in that order. CONCLUSION: Finally, the elementary schools of District 6 of Mashhad were ranked in terms of disaster preparedness using the obtained model and the FTOPSIS. This ranking can help the managers in making decisions to prioritize the conduction of building retrofit of the schools in the studied area.

Purpose: The present research has been done with a view to evaluation and ranking of production and management of digital resources in the supply chain of digital libraries. Methodology: The present research is essentially an applied one and the method employed, has been descriptive survey based on Shanon Entropy and Fuzzy TOPSIS methods. Findings: According to our findings, the risks of “Collection development strategy of digital resources” with highest rate of Proximity Coefficient(PC)=%731 stand in the first place and then the other ones in order include: risks of “Management strategy of digital resources at libraries” with PC=%7186, “The high cost of technological changes of information carriers and storage formats” with PC=711 and “Competence of library software in detecting repetitious copies” with PC=%651. Conclusion: 26 risks for production and management of digital resources in the supply chain of digital libraries have been identified and amidst production and management risks of digital resources in the supply chain of digital libraries the risk of” Collection development strategy of digital resources” stands in the first place.