Applying a fuzzy, multi-criteria decision-making method to the performance evaluation scores of industrial design courses

Li, Juan; Li, Zhe; Liu, Shuo Fang; Cheng, Meng

doi:10.1080/10494820.2019.1636080

Cited by 5 publications

(3 citation statements)

References 12 publications

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“…Qu et al [8] proposed a talent training program for computer science and technology majors based on IEET accreditation. Li et al [9] investigated the importance of the IEET's seven assessment criteria in students' coursework by collecting data from a sample of students at a Chinese university. Jonathan et al [10] compared multiple international accreditation systems.…”

Section: Related Workmentioning

confidence: 99%

A Study on the Development of IEET Accreditation in Mainland China

Chen,

Fan,

Yang

2023

Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8–10, 20

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With the growing importance of professional accreditation in engineering education, the demand for IEET (Institute of Engineering Education Taiwan) professional accreditation services in mainland China is on the rise. Regrettably, no literature currently compiles and analyzes IEET's accreditation services in the mainland. For the first time, this study compiles IEET accreditation data in mainland China and analyzes the valuable information behind it from multiple perspectives. As of the end of 2022, 77 universities in mainland China have received IEET accreditation, encompassing 244 accredited majors. We conduct a detailed analysis of IEET accreditation in mainland China from seven perspectives, including educational levels, the nature of the institutions, the number of accredited majors in a single institution, accredited institutions and majors under different accreditation specifications, and accredited institutions and majors in different provinces and years. This research can serve as an auxiliary data source for education authorities to guide university specialization construction and provide a decision-making basis for universities involved in IEET accreditation.

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Section: Related Workmentioning

confidence: 99%

A Study on the Development of IEET Accreditation in Mainland China

Chen,

Fan,

Yang

2023

Proceedings of the 4th International Conference on Modern Education and Information Management, ICMEIM 2023, September 8–10, 20

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“…Nepaisant karinio ugdymo srities tyrimų deficito, galima rasti ir artimų tyrimų. Daugiausia tyrimo objektui artimų tyrimų yra atlikę Kinijos mokslininkai (Chang & Wang, 2016;Ketkar & Vaidya, 2014;Li et al, 2019;Lin et al, 2014;Shee & Wang, 2008;Zare et al, 2016). Kadangi pastebima tokių tyrimų stoka, galima pagrįstai teigti, kad šis tyrimas tenkina naujumo kriterijų ir išplečia daugiakriteriškumu grindžiamų ugdymo strategijų teorinių ir praktinių sprendinių aiškinimą.…”

Section: įVertinimaiunclassified

Daugiakriterio vertinimo įrankio išbandymas mokant padalinių valdymo procedūrų

Razma¹

2021

Šiuolaikinės Visuomenės Ugdymo Veiksniai

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“…In previous research, the Decision Support System using the FMCDM method can be implemented well in various cases including selection supplier case, namely A hybrid FMCDM model for selecting a sustainable supplier of forklift filters [13], performance evaluation case, The applying FMCDM method to the performance evaluation scores of industrial design courses [14], the selection ideal teacher case, namely the decision support for the selection of ideal teacher positions [15], and the managerial case, namely Sustainable risk management strategy selection using a fuzzy multi-criteria decision approach [16]. Meanwhile, the application of DSS using the SMART method includes: in the selection students case, namely Decision support system for selecting students to follow biological science olympiad using Simple Multi Attribute Rating Technique (SMART) method [17], in employ performance case, namely Employee performance evaluation Decision Support System with the SMART (Simple Multi-Attribute Rating Technique) method [18], and in the beauty business case, namely Implementation of Simple Multi Attribute Rating Technique method using Decision Support System concept (Case Recommendation Of Salon Place In Pematangsiantar City) [19].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of SMART and FMCDM Methods in Smartphone Selection Decision Support System

Kahar¹,

Riki²

2021

IJIGSP

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Smartphones are one of the communication technology tools currently used by both children and the elderly, so that interest in shopping for smartphones in Indonesia is increasing. The variety of smartphone brands makes buyers confused about which smartphone to buy. This research can help buyers to choose a smartphone to buy and help sellers provide recommendations. This study applies the Simple Multi Attribute Rating Technique (SMART) and Fuzzy Multi Criteria Decision Making (FMCDM) methods for the decision making process for smartphone selection. The purpose of this study is to apply and analyze the comparison of the SMART method and the FMCDM method in the Smartphone Selection Decision Support System. The study compared: the differences and similarities between the two methods, the results of the selection process for the two methods, and calculating the value of the sensitivity analysis of the selection results so that the best method could be determined. The criteria used: price, screen size, battery capacity, operating system, RAM, camera, and smartphone brand. The comparison results show that there are differences between the standard for determining the results, while the similarities in the calculation results, the smartphone recommended to buy is the same, namely the Asus Zenfone 2 Laser ZE500KG (16 GB) smartphone. Measurement of the accuracy of the results of the two methods uses sensitivity analysis values. It can be concluded that the better method is the FMCDM method because it has a smaller average sensitivity value than the SMART method, namely 0.2795 <0.3906.

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Applying a fuzzy, multi-criteria decision-making method to the performance evaluation scores of industrial design courses

Cited by 5 publications

References 12 publications

A Study on the Development of IEET Accreditation in Mainland China

A Study on the Development of IEET Accreditation in Mainland China

Daugiakriterio vertinimo įrankio išbandymas mokant padalinių valdymo procedūrų

Comparative Study of SMART and FMCDM Methods in Smartphone Selection Decision Support System

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