Fuzzy filtering ranking method for multi-criteria decision making

Chang, Ting-Yu; Ku, Cooper Cheng-Yuan

doi:10.1016/j.cie.2021.107217

Cited by 12 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The fuzzy filtering ranking method is a relatively new compromising method proposed by [58] to determine the ranking of alternatives. The FFR method is a combination of filtering method, discrete fuzzy score, and Likert scale [59].…”

Section: Ffrmentioning

confidence: 99%

An Integrated MCDM Model for Sustainable Course Planning: An Empirical Case Study in Accounting Education

Tao

Wang

2023

Sustainability

View full text Add to dashboard Cite

As an essential element of higher education, course planning at the program level is a complicated multi-criteria decision making (MCDM) problem. In addition, a course planning process tailored to sustainable development is exceptionally important to sustaining the quality of academic programs. However, there is a scarcity of research on the program course planning problem at the operational level due to a diverse set of stakeholder requirements in practice. Motivated by the challenge, this study proposes an innovative MCDM model for sustainable course planning based on He-Xie management theory. In the introduced framework, the best worst method (BWM) can obtain the optimal weights of sustainability competencies, which are then embedded into the fuzzy filter ranking (FFR) method to generate the ranking of candidate courses by each course module, considering the connectivity between courses and the development of sustainability competencies. Finally, multi-choice goal programming (MCGP) is adopted to allocate each selected course to a semester, aiming to balance total credits and average difficulty level among semesters as much as possible. The practicability and reliability of the proposed course planning model is validated through a case study of an undergraduate accounting program. Results show that the proposed framework is a feasible tool for course planning. This research extends the existing literature on course planning by explicitly capturing the fuzzy nature of human decision making and avoids underestimation of the decision. The implications of the paper are not restricted to developing a sustainable course plan for an accounting program.

show abstract

Section: Ffrmentioning

confidence: 99%

An Integrated MCDM Model for Sustainable Course Planning: An Empirical Case Study in Accounting Education

Tao

Wang

2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…The usage of biometric methods is increasing day by day to protect the highly confidential information from unauthorized persons. Biometric key and fuzzy key [8] can be obtained from biometric texture and fuzzy membership functions [9].…”

Section: Introductionmentioning

confidence: 99%

A Novel Biometric Key Security System with Clustering and Convolutional Neural Network for WSN

Balan

Ila

2022

Teh. vjesn.

View full text Add to dashboard Cite

Development in Wireless Communication technologies paves a way for the expansion of application and enhancement of security in Wireless Sensor Network using sensor nodes for communicating within the same or different clusters. In this work, a novel biometric key based security system is proposed with Optimized Convolutional Neural Network to differentiate authorized users from intruders to access network data and resources. Texture features are extracted from biometrics like Fingerprint, Retina and Facial expression to produce a biometric key, which is combined with pseudo random function for producing the secured private key for each user. Individually Adaptive Possibilistic C-Means Clustering and Kernel based Fuzzy C-Means Clustering are applied to the sensor nodes for grouping them into clusters based on the distance between the Cluster head and Cluster members. Group key obtained from fuzzy membership function of prime numbers is employed for packet transfer among groups. The three key security schemes proposed are Fingerprint Key based Security System, Retina Key based Security System, and Multibiometric Key based Security System with neural network for Wireless Sensor Networks. The results obtained from MATLAB Simulator indicates that the Multibiometric system with kernel clustering is highly secured and achieves simulation time less by 9%, energy consumption diminished by 20%, delay is reduced by 2%, Attack Detection Rate is improved by 5%, Packet Delivery Ratio increases by 6%, Packet Loss Ratio is decreased by 27%, Accuracy enhanced by 2%, and achieves 1% better precision compared to other methods.

show abstract

“…Nuclear fuel cycle alternative evaluation methods include Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) [4][5][6][7]. The research methodology of this study can be summarized as follows.…”

Section: Introductionmentioning

confidence: 99%

Comparative Evaluation of Direct Disposal and Pyro-SFR Nuclear Fuel Cycle Alternatives Using Multi Criteria Decision Making in Korea

Kim

Cho

2021

Energies

View full text Add to dashboard Cite

The Korean government is currently evaluating two alternatives, direct disposal and pyroprocessing, for the disposal of spent nuclear fuel. This paper presents the ranking results of comparing and evaluating direct disposal and pyro-SFR fuel cycle alternatives using multi-criteria decision-making methods such as AHP, TOPSIS, and PROMETHEE. In considering the various evaluation criteria involved in these two alternatives, we aimed to determine the optimal choice in terms of the economic and social conditions of Korea. The evaluation criteria considered were safety, resource availability, environmental impact, economics, nuclear proliferation resistance, and public acceptance. The results show that the pyro-SFR fuel cycle alternative is more advantageous than direct disposal in the AHP and TOPSIS methods, whereas direct disposal is more advantageous in the PROMETHEE method because the ranking is reversed. TOPSIS assigns the ideal value and the most negative value among the input values to each criterion as a parameter reflecting the concept of distance between the best alternative and the worst alternative. In contrast, the PROMETHEE method first selects the preference function including the preference threshold, and calculates the preferred outflow and the preferred inflow for the detailed evaluation indicators. Therefore, differences exist in the methodologies of multi-criteria decision making. Nonetheless, the analysis results of the back-end fuel cycle option can greatly contribute to establishing a nuclear policy for the back-end nuclear fuel cycle, and these efforts will enable sustainable nuclear power generation.

show abstract

Fuzzy filtering ranking method for multi-criteria decision making

Cited by 12 publications

References 13 publications

An Integrated MCDM Model for Sustainable Course Planning: An Empirical Case Study in Accounting Education

An Integrated MCDM Model for Sustainable Course Planning: An Empirical Case Study in Accounting Education

A Novel Biometric Key Security System with Clustering and Convolutional Neural Network for WSN

Comparative Evaluation of Direct Disposal and Pyro-SFR Nuclear Fuel Cycle Alternatives Using Multi Criteria Decision Making in Korea

Contact Info

Product

Resources

About