Seclusion-Factor Method to Solve Fuzzy-Multiple Criteria Decision-Making Problems

Hadi-Vencheh, A.; Mirjaberi, Mahdi

doi:10.1109/tfuzz.2010.2091135

Cited by 22 publications

(2 citation statements)

References 22 publications

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“…Classical MCDM methods [9,10,[36][37][38][39][40] are not efficient enough due to the identification of many effective criteria in a qualitative way based on the experts' judgments according to the linguistic variables and uncertainty of the problem.…”

Section: Literature Reviewmentioning

confidence: 99%

A New Self-Assessment “TQM Hybrid MCDM Fuzzy Model” For Enhancing the KPIs in Mega Universities

Ragab

Noaman

Ahmed

et al. 2022

Applied Computational Intelligence and Soft Computing

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The key performance indicators (KPIs) are an effective part of benchmarking for measuring the performance of universities aiming to raise the university quality services level. The problem is that there is no general standard analytical evaluation model for assessing KPIs criteria in higher education institutes for evaluating mega universities, and there are inadequacies in the treatment of specific current educational quality standards. In this paper, a hybrid fuzzy analytical model for TQM self-assessment to enhance KPIs in mega universities is proposed. The proposed model produces important weights for TQM-KPIs that are recommended for helping higher authorities at the university for enhancing the demanded total quality services and aid the university to achieve its strategic objectives and to be one of the highly ranked universities. In addition, the European Foundation for Quality Management (EFQM) excellence model enabler criteria were modified and used. Two additional enabler criteria for representing the mega university and the world ranking were proposed. The “TQM Hybrid Fuzzy Model” proposed integrates three fuzzy multiple criteria decision-making (MCDM) submodels including (1) the fuzzy analytic hierarchy process (FAHP), (2) the fuzzy decision-making trial and evaluation laboratory (FDEMATEL), and (3) the fuzzy multiple criteria decision analysis (FVIKOR). Each of these submodels is computed and evaluated analytically. A comparison between them is achieved. Finally, the whole “TQM Hybrid F-MCDM Model” proposed is proved and evaluated analytically and programmed using Excel. Hence, by comparison, it is found that the proposed hybrid fuzzy model is the most effective model for evaluating the TQM-KPIs for enhancing mega universities’ organizational assessment. Results show that the subcriteria that occupied the first three positions are the managed and improved distance learning sources and materials, policy, and strategies that are based on the present and future needs and expectations of stakeholders.

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Section: Literature Reviewmentioning

confidence: 99%

A New Self-Assessment “TQM Hybrid MCDM Fuzzy Model” For Enhancing the KPIs in Mega Universities

Ragab

Noaman

Ahmed

et al. 2022

Applied Computational Intelligence and Soft Computing

View full text Add to dashboard Cite

show abstract

“…Keputusan yang ditetapkan merupakan gabungan konsep-konsep dasar subjektivitas yang bertujuan untuk mengambil keputusan dari pengambangan metode yang ambiguitas menjadi beberapa kriteria untuk penetapan keputusan, teori keputusan adalah deskriptif ketika orang membuat keputusan dan diberitahukan kepada orang lain [4]. Sistem penunjang pengambilan keputusan berbasis teknologi merupakan gabungan antara manusia dan teknologi komputer, seiring dengan perkembangan teknologi, maka sistem pengambilan keputusan atau dikenal juga dengan Decision Support System (DSS) yang diharapkan mampu mengatasi persoalan yang rumit, baik terstruktur maupun tidak, sehingga menghasilkan keputusan yang tepat dan benar [5].…”

Section: Pendahuluanunclassified

Seleksi Beasiswa Untuk Perguruan Tinggi Berdasarkan Pendekatan Keputusan Berkeadilan Dengan Fuzzy Mamdani

Amsar¹,

Munadi

Adriman

2018

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AbstrakThe scholarship is one of the funding schemes of study in an education system. Various models and names of scholarship schemes are offered on terms that have been determined by the scholarship provider. The essence of these conditions is the trust and confidence of the funders of the scholarship recipients and is projected to complete the study period as per the allocated funds. In general, funders are very concerned about the issue of academic qualification as one of the main indicators. However, for prospective students who wish to pursue higher education from coming from orphaned families and from less financially qualified families, with good academic qualifications, not yet a parameter in the selection process of scholarship recipients. Based on this fact, this problem would like to find solution in this research and submitted the selection model of scholarship with fair decision approach. This study aims to design a fair decision-making system as a tool for selection of scholarship recipients that prioritize the values of justice by prioritizing scholarship recipients from among orphans and poor. This research proposes two methods: Fuzzy Mamdani and weighting method, with 4 input parameters which are used as variables: children status and economic level, residence condition, children achievement and family dependent. Simulation testing performed by considering the parameters set is a more effective and efficient decision model for the prospective scholarship recipients. To obtain a competent recipient, then the screening process by ranking to be declared passed the selection and received as the recipient of scholarship in accordance with the number of quotas provided. This selection model becomes an alternative and provides opportunities for orphans and the poor to continue higher education and improve the human resource index as well as meet national education goals.

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Providing a Livable Housing Development Model for Increasing Urban Livability (Case Study of Tehran)

Molan

Ziari

Ahmad

et al. 2019

Computational Science and Its Applications – ICCSA 2019

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Seclusion-Factor Method to Solve Fuzzy-Multiple Criteria Decision-Making Problems

Cited by 22 publications

References 22 publications

A New Self-Assessment “TQM Hybrid MCDM Fuzzy Model” For Enhancing the KPIs in Mega Universities

A New Self-Assessment “TQM Hybrid MCDM Fuzzy Model” For Enhancing the KPIs in Mega Universities

Seleksi Beasiswa Untuk Perguruan Tinggi Berdasarkan Pendekatan Keputusan Berkeadilan Dengan Fuzzy Mamdani

Providing a Livable Housing Development Model for Increasing Urban Livability (Case Study of Tehran)

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