scholarly journals An Assessment Model for Wealth Management Banks Based on the Fuzzy Evaluation Method

Mathematics ◽  
2021 ◽  
Vol 9 (19) ◽  
pp. 2442
Author(s):  
Chia-Chi Sun
Keyword(s):  
Decision Making ◽  
Evaluation Method ◽  
Multiple Criteria Decision Making ◽  
Economic Consequences ◽  
Assessment Model ◽  
Financial Knowledge ◽  
Fuzzy Evaluation ◽  
Wealth Management ◽  
Induced Stress ◽  
Personal Finances

COVID-19 has led people to question numerous aspects of life, including family budgetary arrangements and wealth management. The COVID-19 pandemic has thrown many of us a financial curveball. Managing personal finances is important, particularly during a crisis, such as the COVID-19 pandemic. Although the economic consequences are evident, financially induced stress caused by uncertainty is less visible. Individual wealth increments and firm size measures have brought a commensurate increment in their respective resources. Thus, monitoring these resources and coordinate investment exercises is necessary to preserve resource development. The best method to improve wealth management banks is to consider competitive preferences by designating a set of wealth management bank selections to oversee individuals’ wealth viably. This paper provides a step-by-step assessment guide for wealth management banks using multiple-criteria decision-making to illustrate the appropriateness of the proposed technique. We found that the two primary aspects of wealth management bank evaluations are transaction safety and professional financial knowledge. The proposed approach is relatively straightforward and appropriate for such key decision-making issues.

Application and comparative study of new optimization method for performance ranking of friction materials

2017 ◽  
Vol 232 (2) ◽  
pp. 143-154 ◽  
Author(s):  
Vishal Mahale ◽  
Jayashree Bijwe ◽  
Sujeet Sinha
Keyword(s):  
Decision Making ◽  
Comparative Study ◽  
Decision Model ◽  
Evaluation Method ◽  
Multiple Criteria Decision Making ◽  
Optimization Method ◽  
Friction Material ◽  
Multiple Criteria ◽  
Friction Materials ◽  
Performance Ranking

Good friction materials should satisfy diverse and contradictory performance requirements such as adequate friction ( µ ≈ 0.35–0.45), resistance to wear, fade, squeal, judder, etc. in consort with good recovery and less noise producing tendency. To achieve center point of all these conflicting criteria and selection of best overall performing friction material is multiple criteria decision making (MCDM) problem and very difficult task. Decision maker can easily make decision with single criteria without the help of any optimization tool by maximizing beneficial criteria and minimizing non-beneficial criteria. However, it is extremely challenging task if decision making involves several number of conflicting criteria. Few techniques are reported in the literature such as ‘multiple criteria decision model’, ‘Multi-attribute decision model’, ‘extension evaluation method’ (EEM), etc. for performance ranking of friction materials. However, the simplicity, reliability, applicability, time devoted for the analysis, etc. are always most important aspects of selecting a right tool for the analysis. In this paper application of a technique ‘multiple objective optimization on the basis of ratio analysis’ (MOORA) has been first time employed for performance ranking of friction materials. A comparative study of MOORA and currently used methods MCDM and EEM are also presented. MOORA proved to be the best tool based on the criteria such as simple to use, fast, flexible, and efficient one.

Celebrity selection in social media ecosystems: a flexible and interactive framework

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shekhar Shukla ◽  
Ashish Dubey
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Group Decision Making ◽  
Selection Criteria ◽  
Evaluation Method ◽  
Group Decision ◽  
Rank Order ◽  
Fuzzy Evaluation ◽  
Content Type ◽  
Selection For

PurposeQuantitative objective studies on the problem of celebrity selection are lacking. Furthermore, existing research does not recognize the group decision-making nature and the possibility of customer involvement in celebrity or influencer selection for social media marketing. This study conceptualizes celebrity selection as a multi-attribute group decision-making problem while deriving the final ranking of celebrities/influencers using interactive and flexible criteria based on the value tradeoff approach. The article thus proposes and demonstrates a quantitative objective method of celebrity selection for a brand or campaign in an interactive manner incorporating customer's preferences as well.Design/methodology/approachEach decision-maker's preferences for celebrity selection criteria are objectively captured and converted into an overall group preference using a modified generalized fuzzy evaluation method (MGFEM). The final ranking of celebrities is then derived from an interactive and criteria-based value tradeoff approach using the flexible and interactive tradeoff method.FindingsThe approach gives a different ranking of celebrities for two campaigns based on group members' perceived importance of the selection criteria in different scenarios. This group includes decision-makers (DMs) from the brand, marketing communication agency and brand's customers. Further, each group member has an almost equal say in the decision-making based on fuzzy evaluation and an interactive and flexible value tradeoff approach to celebrity selection for receiving a rank order.Research limitations/implicationsThe approach uses secondary data on celebrities and hypothetical scenarios. Comparison with other methods is difficult, as no other study proposes a multi-criteria group decision-making approach to celebrity selection especially in a social media context.Practical implicationsThis approach can help DMs make more informed, objective and effective decisions on celebrity selection for their brands or campaigns. It recognizes that there are multiple stakeholders, including the end customers, each of whose views is objectively considered in the aspects of group decision-making through a fuzzy evaluation method. Further, this study provides a selection mechanism for a given context of endorsement by objectively and interactively encapsulating stakeholder preferences.Originality/valueThis robust and holistic approach to celebrity selection can help DMs objectively make consensual decisions with partial or complete information. This quantitative approach contributes to the literature on selection mechanisms of influencers, celebrities, social media opinion leaders etc. by providing a methodological aid that encompasses aspects of interactive group decision-making for a given context. Moreover, this method is useful to DMs and stakeholders in understanding and incorporating the effect of nature or context of the brand and the campaign type in the selection of a celebrity or an influencer.

The Fuzzy Evaluation of Investment Risk Decision-Making of Power Plant Based on the Grey Relation

2012 ◽  
Vol 450-451 ◽  
pp. 981-984 ◽  
Author(s):  
Shu Liang Liu ◽  
Yun Xia Song
Keyword(s):  
Risk Factors ◽  
Decision Making ◽  
Power Plant ◽  
Power Plants ◽  
Evaluation Method ◽  
Investment Decision ◽  
Correlation Method ◽  
Electric Power Industry ◽  
Fuzzy Evaluation ◽  
Relationship Of

Electric power industry is the basic industries. The power plant will face many risk factors in the investment of time. We need to make these risk factors analyzed, so as to explore the validity and feasibility of the power plant's investment. Based on studying the mutual relationship of risk factors in the power plant investment, the paper puts forward the causal relationship of power plant's risk investment decision-making evaluation, and quoting three power plants uses the grey correlation method, the analytic hierarchy process and fuzzy evaluation method to evaluate reasonably and effectively each risk factors of influencing the investment decision.

scholarly journals An Applicable Way of Teaching Quality Evaluation Based on MOOC Platform

2017 ◽  
Vol 12 (03) ◽  
pp. 57 ◽  
Author(s):  
Chen Zhuo ◽  
Xiaoming Dong
Keyword(s):  
Quality Evaluation ◽  
Evaluation Method ◽  
Control Experiment ◽  
Teaching Quality ◽  
Assessment Model ◽  
Fuzzy Evaluation ◽  
Teaching Management ◽  
Comprehensive Fuzzy Evaluation ◽  
Important Means

The MOOC-based education is an important means to improve the quality of education as the increasing development of internet; meanwhile, the assessment of teaching quality is an indispensable aspect in teaching management, and it has been more and more important as the scale of the students' expansion, In order to deal with the challenges of big data processing effectively in the field of education, we designed a teaching quality assessment model on the MOOC platform based on comprehensive fuzzy evaluation. To verify the effectiveness of our method, a control experiment was adopted to explore the significance of our evaluation method, the results show that it can help teacher to prepare their teaching contents and students to improve their learning efficiency.

scholarly journals Clinical Knowledge Supported Acute Kidney Injury (AKI) Risk Assessment Model for Elderly Patients

2021 ◽  
Vol 18 (4) ◽  
pp. 1607
Author(s):  
Kao-Yi Shen ◽  
Yen-Ching Chuang ◽  
Tao-Hsin Tung
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Acute Kidney Injury ◽  
Elderly Patients ◽  
Multiple Criteria Decision Making ◽  
Kidney Injury ◽  
Assessment Model ◽  
Medical Decision ◽  
Risk Assessment Model ◽  
Knowledge Based

From the clinical viewpoint, the statistical approach is still the cornerstone for exploring many diseases. This study was conducted to explore the risk factors related to acute kidney injury (AKI) for elderly patients using the multiple criteria decision-making (MCDM) approach. Ten nephrologists from a teaching hospital in Taipei took part in forming the AKI risk assessment model. The key findings are: (1) Comorbidity and Laboratory Values would influence Comprehensive Geriatric Assessment; (2) Frailty is the highest influential AKI risk factor for elderly patients; and (3) Elderly patients could enhance their daily activities and nutrition to improve frailty and lower AKI risk. Furthermore, we illustrate how to apply MCDM methods to retrieve clinical experience from seasoned doctors, which may serve as a knowledge-based system to support clinical prognoses. In conclusion, this study has shed light on integrating multiple research approaches to assist medical decision-making in clinical practice.

scholarly journals Strengthen Financial Holding Companies’ Business Sustainability by Using a Hybrid Corporate Governance Evaluation Model

2018 ◽  
Author(s):  
Jim-Yuh Huang ◽  
Kao-Yi Shen ◽  
Joseph C.P. Shieh ◽  
Gwo-Hshiung Tzeng
Keyword(s):  
Decision Making ◽  
Corporate Governance ◽  
Evaluation System ◽  
Academic Research ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Evaluation ◽  
Holding Companies ◽  
Business Sustainability ◽  
Financial Holding ◽  
Financial Holding Companies

While the importance of corporate governance has been broadly acknowledged in global financial markets and academic research, how to devise a practical evaluation system is relatively unexplored. This paper attempts to refine the Corporate Governance Evaluation System (CGES), constructed by the Taiwan Stock Exchange (TWSE) since 2014. The current CGES has several debatable issues in its complicated design (e.g., it comprises over 80 indicators in different types). To resolve those issues, this study invited ten senior domain experts (including several CEOs of financial holding companies) to retrieve 13 essential criteria from the CGES in four dimensions. And this study integrates several multiple criteria decision-making (MCDM) methods (i.e., Decision-making trial and evaluation laboratory (DEMATEL), modified VIKOR, DEMATEL-based analytical network process (DANP)) and the fuzzy evaluation technique to rank the exemplary companies. The obtained ranking is consistent with the one released from the CGES in 2017. This study conducted additional experiments to ensure the robustness of the findings. The newly devised model not only supports the ranking decisions but also provides a managerial guidance for companies to pursue systematic improvements. These findings enrich the understanding of corporate governance and contribute to gaining business sustainability for financial holding companies.

scholarly journals Strengthen Financial Holding Companies’ Business Sustainability by Using a Hybrid Corporate Governance Evaluation Model

2019 ◽  
Vol 11 (3) ◽  
pp. 582 ◽  
Author(s):  
Jim-Yuh Huang ◽  
Kao-Yi Shen ◽  
Joseph C.P. Shieh ◽  
Gwo-Hshiung Tzeng
Keyword(s):  
Decision Making ◽  
Corporate Governance ◽  
Evaluation System ◽  
Academic Research ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Evaluation ◽  
Holding Companies ◽  
Business Sustainability ◽  
Financial Holding ◽  
Financial Holding Companies

While the importance of corporate governance has been broadly acknowledged in global financial markets and academic research, how to devise a practical evaluation system is relatively unexplored. This paper attempts to refine the Corporate Governance Evaluation System (CGES), constructed by the Taiwan Stock Exchange (TWSE) since 2014. The current CGES has several debatable issues in its complicated design (e.g., it comprises over 80 indicators in different types). To resolve those issues, this study invited ten senior domain experts (including several CEOs of financial holding companies) to retrieve 13 essential criteria from the CGES in four dimensions. Additionally, this study integrates several multiple criteria decision-making (MCDM) methods (i.e., decision-making trial and evaluation laboratory (DEMATEL), modified VIKOR, DEMATEL-based analytical network process (DANP)) and the fuzzy evaluation technique to rank the exemplary companies. The final ranking is consistent with the one released from the CGES in 2017. This study conducted additional experiments to ensure the robustness of the findings. The newly devised model not only assists the ranking decisions but also supports a company in discussing the plausible action plans to strengthen corporate governance based on the analytics. These findings enrich the understanding of corporate governance and contribute to gaining business sustainability for financial holding companies.

Comprehensive Assessment Method of Equipment Support Exercise

2013 ◽  
Vol 706-708 ◽  
pp. 1932-1935
Author(s):  
Wu Kui Zhao ◽  
Cheng Zhang ◽  
Yi Bo Wang
Keyword(s):  
Analytic Hierarchy Process ◽  
Evaluation Method ◽  
Assessment Method ◽  
Assessment Model ◽  
Assessment Process ◽  
Fuzzy Evaluation ◽  
Analytic Hierarchy ◽  
The Index System ◽  
Basic Ideas ◽  
Hierarchy Process

Equipment support exercise is the highest phase of equipment support training and an effective approach to improve equipment support capability. Assessment of equipment support exercise is the main measure to test and rate the effect and level of equipment support exercise. The main influencing factors of equipment support exercise are analyzed and the index system is established from the angle of equipment support capability. The assessment model of equipment support exercise is constructed based on the basic ideas of analytic hierarchy process (AHP) and fuzzy evaluation method. The assessment process of equipment support exercise using the proposed method is illustrated in detail. The correctness and validity of the proposed method is verified through a calculation example. The result of the example indicates that the proposed method can give correct assessment level of equipment support exercise, which provides an effective approach for the assessment of equipment support exercise.

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