scholarly journals Evaluating biometrics by using a hybrid MCDM model

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hung-Jia Tsuei ◽  
Guiping Shen ◽  
Gwo-Hshiung Tzeng
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Consumer Electronics ◽  
Financial Industry ◽  
Biometric Systems ◽  
Network Process ◽  
Criteria For Evaluation ◽  
Decision Making Model

AbstractBiometrics has been developing for decades in diverse industries, such as consumer electronics, internet of things, financial industry, etc. The purpose of this research is to build a decision-making model to evaluate and improve the performances of biometrics for administrators to design and make suitable biometric systems. This paper adopts a hybrid multiple criteria decision making (MCDM) model, comprising decision-making trial and evaluation laboratory (DEMATEL), and DEMATEL-based analytic network process (called DANP) to probe into the interrelationship and influential weights among criteria of biometrics. According to DEMATEL technique, the empirical results indicate that criteria of biometrics have self-effect relationships. The dimension of biometrics that administrators of biometrics should enhance first when improving the performances is usability. The criterion of universality with the highest influencing value to systematically affect all other evaluation factors is what administrators of biometrics should comprehensively consider. In the top three criteria for evaluation by DANP, biometric systems with the most influential weight is the criterion that can be improved to have higher recognition rates for increasing the performances of biometrics, followed by biometric conditions and permanence.

scholarly journals How Should National Museums Create Competitive Advantage Following Changes in the Global Economic Environment?

2018 ◽  
Vol 10 (10) ◽  
pp. 3749 ◽  
Author(s):  
Pei-Hsuan Tsai ◽  
Chin-Tsai Lin
Keyword(s):  
Decision Making ◽  
Competitive Advantage ◽  
Evaluation Model ◽  
Management Strategies ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Visitor Satisfaction ◽  
Network Process ◽  
National Museums ◽  
Decision Making Model

Management strategies play an important role in enhancing the competitive advantage and sustainable development of national museums. The purpose of this study is to focus on evaluating the management strategies of national museums to reduce the gaps in visitor satisfaction that are caused by the interdependence and feedback problems of the so-called BOCR dimensions (namely, benefits, opportunity, costs, and risks) and 24 criteria. This study creates a hybrid competitive advantage multiple-criteria decision-making model for national museums by integrating the decision-making trial and evaluation laboratory-based analytic network process and modified VIKOR (VlšeKriterijumska Optimizacija I Kompromisno Resenje) techniques to solve the problems. We consider five different types of national museums to illustrate how the proposed new evaluation model enhances the competitive advantage of national museums. Our results provide national museum curators with the knowledge and understanding to create promotional and marketing strategies that reduce the gaps in dimensions and criteria to satisfy visitors’ needs and to enhance their competitive advantage.

Selecting Candidate Suppliers Using a Multiple Criteria Decision Making Model

2013 ◽  
Vol 694-697 ◽  
pp. 3472-3475 ◽  
Author(s):  
Amy H.I. Lee ◽  
He Yau Kang ◽  
Chun Yu Lin ◽  
Hsin Wei Wu
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
High Tech ◽  
Supplier Integration ◽  
Network Process ◽  
Decision Making Model ◽  
Selection Of

High-tech firms are usually under a dynamically changing and fierce competitive environment these days. In order to survive in such an intensive competitive international market, a firm not only needs to manufacture outstanding products that meet the demands of its customers, it also needs to have a comprehensive supply chain management. To achieve the benefits of buyer-supplier integration, in terms of increased internal efficiency and profitability of the players in a supply chain, the identification of viable suppliers is a preliminary step that needs to be properly managed. Thus, to be cost competitive and to acquire decent profit in the market, the selection of the most appropriate suppliers is essential. In this paper, a supplier selection model is constructed by applying methodologies including decision making trial and evaluation laboratory (DEMATEL) and analytic network process (ANP) to determine the interrelationship among the evaluation criteria and to select the most appropriate suppliers for cooperation.

scholarly journals Applying ANP in Establishing a Decision-Making Model for the Destination Selection of Large-scale Exhibitions

2017 ◽  
Vol 7 (1) ◽  
pp. 100
Author(s):  
Wen-Tsung Wu ◽  
Chie-Bein Chen
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Analytic Network Process ◽  
Cost Ratio ◽  
Benefit Cost Ratio ◽  
Network Process ◽  
Second Tier ◽  
High Benefit ◽  
Decision Making Model ◽  
Selection Of

This study investigates the decision-making issues in the selection of destinations for large-scale exhibitions by the cultural and creative industry. We use the Rubber Duck China Tour by the Dutch artist Florentijn Hofman as an example and adopt the analytic network process technique to evaluate destination options for the exhibition, as well as to explore the impacts of the evaluation of destination feasibilities on exhibition investment. The results show that power, a high benefit-cost ratio, first-tier cities, integration with local communities, and a rich and interesting theme are the top five factors that curators should consider when planning exhibitions. Considering the priority among cities of various tiers, first-tier cities are the most favorable, followed by fourth-tier, third-tier, and second-tier cities. The decision-making model provides curators with a reliable reference for selecting destinations for future exhibitions.

An Analytical Model for Evaluating Wind Turbine Types

2014 ◽  
Vol 543-547 ◽  
pp. 333-336 ◽  
Author(s):  
Amy H.I. Lee ◽  
Meng Chan Hung ◽  
W.L. Pearn ◽  
He Yau Kang
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Evaluation Model ◽  
Renewable Energy Sources ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Renewable Energy Resources ◽  
Network Process ◽  
Term Energy

With worldwide developments stressing the security, economy, human well-beings and environmental costs of relying heavily on fossil and nuclear energy, the demand of safe renewable energy resources is expanding consistently and tremendously in recent years. With its safe and environmental characteristics, wind energy production has become one of the fastest growing renewable energy sources in the world. While new wind power capacity is being added in more places in various countries, the installation of wind turbines is an important process for long-term energy generation. In this study, an evaluation model, which incorporates multiple criteria decision making (MCDM) methods, including decision making trial and evaluation laboratory (DEMATEL) and fuzzy analytic network process (FANP), is developed to establish interactive relationships between criteria. Fuzzy Yager ranking method is used for deffuzification. The final ranking of the alternatives is obtained, and this can provide decision-makers for references.

Integration of SWOT analysis with hybrid modified TOPSIS for the lean strategy evaluation

2016 ◽  
Vol 232 (7) ◽  
pp. 1295-1309 ◽  
Author(s):  
Suresh Prasad ◽  
Dinesh Khanduja ◽  
Surrender K Sharma
Keyword(s):  
Decision Making ◽  
Swot Analysis ◽  
Multiple Criteria Decision Making ◽  
Evaluation Process ◽  
Analytic Network Process ◽  
Foundry Industry ◽  
Strategy Evaluation ◽  
Network Process ◽  
Modified Topsis ◽  
Topsis Technique

This article deals with the lean strategy evaluation process using SWOT (strengths, weaknesses, opportunities and threats) analysis aimed at identifying lean strategies and providing an initial decision framework. It involves specifying the objective of the industry and identification of internal and external factors and its sub-factors and lean strategies, which are either favourable or unfavourable in the accomplishment of the stated objective. However, the SWOT analysis method does not provide an analytical method to evaluate the priorities of identified decisive strategic factors. To overcome this limitation, this article presents a case study in an Indian foundry industry using two multiple criteria decision-making methods, that is, analytic network process and modified TOPSIS (technique for order of preference by similarity to ideal solution), to provide a computable basis in determining the rank of lean strategies. In this approach, the analytic network process is used to calculate the priorities of identified SWOT factors and sub-factors and the modified TOPSIS is applied to rank the lean strategies. A sensitivity analysis is also provided to illustrate how ‘sensitive’ the proposed model is to changes in the priorities of SWOT factors. The results show that the quantitative SWOT analysis–based approach is a feasible and exceedingly capable method that provides vital sensitivity in evaluating the priorities of lean strategies for an Indian foundry industry and can also be employed as an effective method for many other complex decision-making processes.

Selecting an Advertising Agency: A Multi-Criteria Decision Making Approach

2008 ◽  
Vol 12 (4) ◽  
pp. 13-22 ◽  
Author(s):  
Mohd. Nishat Faisal ◽  
Bilal Mustafa Khan
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Advertising Agency ◽  
Product Service ◽  
Proposed Model ◽  
Network Process ◽  
Product Personality ◽  
Mcdm Method

Indian economy is evolving day by day, and with an upswing spending power of its inhabitants advertising has been emerging as one of the most effective tools for the companies to reach out to their customers. Best advertisement agencies create value through giving the product personality, developing an understanding of product/service, creating an image or memorable picture of that product and above all trying to distinguish the product apart from its competitors. Today, advertising budgets of companies are rising and thus there are numerous agencies in the market vying for their shares. But there exists no method, which can take into account numerous criterions and their impact simultaneously under consideration while selecting a best advertisement agency. Selecting an advertisement agency is a multiple criteria decision-making (MCDM) problem that requires considering large number of complex factors as multiple evaluation criteria. A robust MCDM method should consider the interactions among criteria. Analytic network process (ANP) is a relatively new MCDM method which can deal with all kinds of interactions systematically. This paper proposes an ANP based methodology for the selection of advertisement agencies. ANP is capable of measuring the relative importance that captures all indirect interactions in a network required to be considered in an advertisement agency selection and also their interactions. Additionally, the proposed model is evaluated for a case company.

scholarly journals A Hybrid Multiple Criteria Decision Making Model for Selecting the Location of Women’s Fitness Centers

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Sen-Kuei Liao ◽  
Hsiao-Yin Hsu ◽  
Kuei-Lun Chang
Keyword(s):  
Decision Making ◽  
Selection Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Multiple Criteria ◽  
Fitness Centers ◽  
Location Selection ◽  
Fuzzy Delphi ◽  
Proposed Model ◽  
Network Process

Location selection is a critical problem for businesses that can determine the success of an organization. Selecting the optimal location from a pool of alternatives belongs to a multiple criteria decision making (MCDM) problem. This study employed a hybrid MCDM technique to select locations for women’s fitness centers in Taiwan. In the beginning, the fuzzy Delphi method was utilized to obtain selection criteria from interviewed senior executives. In the second stage, the decision making trial and evaluation laboratory (DEMATEL) was employed to extract interdependencies between the selection criteria within each perspective. On the basis of interdependencies between the selection criteria, the analytic network process (ANP) was used to get respective weights of each criterion. Finally, the technique for order preference by similarity to ideal solution (TOPSIS) was ranking the alternatives. To demonstrate application of the proposed model and illustrate a location selection problem, a case was conducted. The capabilities and effectiveness of the proposed model are revealed.

scholarly journals NAVIGATING SWOT-FANP WITH GSM METHOD TO PRIORITIZE THE STRATEGIC LOCATION

2015 ◽  
Vol 21 (1) ◽  
pp. 140-163 ◽  
Author(s):  
Yun-Huei LEE
Keyword(s):  
Decision Making ◽  
Process Analysis ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Quantitative Information ◽  
Strategic Decision ◽  
Location Selection ◽  
Network Process ◽  
Second Tier ◽  
Focus Strategy

This paper proposes a SWOT-FANP (strengths, weaknesses, opportunities, and threats – fuzzy analytic network process) analysis, together with the grand strategy matrix method (GSM) to deal with the multiple-criteria decision-making problem of location selection for a second tier city in China. This hybrid method can not only combine both qualitative and quantitative information and utilize fuzzy logic to eliminate vagueness, subjectivity, and imprecision, it can also clearly represents the competitive position of second-tier cities on a the quadrant coordinate to help an enterprise choose a strategy for development. To this end, I empirically chose a multinational pharmaceutical enterprise (MNE) as an illustrative example. The results reveal that Suzhou and Chongqing cities are in the best positions in the competition as a result of having external opportunities for development and internal competing strength. Moreover, the MNE could adopt a niche-focus strategy for the market by focusing on specific ailments to which people in Chinese communities are vulnerable to strengthen their competitive strengths. This study demonstrates and validates that such an enhanced methodology is viable and highly capable of providing enriched insights regarding strategic decision-making management in complex real-world situations.

scholarly journals A hybrid multi-criteria decision making model for the vehicle service center selection with the aim to increase the vehicle fleet energy efficiency

2018 ◽  
Vol 22 (3) ◽  
pp. 1549-1561 ◽  
Author(s):  
Davor Vujanovic ◽  
Vladimir Momcilovic ◽  
Milos Vasic
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Analytic Network Process ◽  
Multi Criteria Decision Making ◽  
Maintenance Planning ◽  
Proposed Model ◽  
Network Process ◽  
Maintenance Work ◽  
The Right ◽  
Decision Making Model

In this paper is researched how to achieve an effective fleet maintenance planning in transport companies, which contributes in increasing the fleet energy efficiency and in achieving the companies? goal. Within the fleet maintenance planning, managers have to make the right decisions on the selection of vehicle service centers in the region where the maintenance work will be realized. The mentioned decision is affected by a number of different interdependent factors (criteria). Based on a survey, relevant factors (criteria) were defined. As defined factors are interdependent and differently influence the mentioned decision, an approach of decision making trial and evaluation laboratory (DEMATEL)-based analytic network process called DANP was applied. In this respect, authors propose a hybrid multi-criteria decision making model. The proposed model was applied in the companies to demonstrate how effective their managers are in the maintenance planning and how this effectiveness influences the fleet energy efficiency and fulfilment of companies? goal.

Evaluation of the Consumer Interaction Capability of the Virtual Brand Community of Chinese Mobile Internet Enterprises Based on the Hybrid MCDM Method

2020 ◽  
Vol 19 (04) ◽  
pp. 2050034
Author(s):  
Chu Sun
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Mobile Internet ◽  
Brand Community ◽  
Proposed Model ◽  
Network Process ◽  
The Status ◽  
Promethee Method ◽  
Client Needs

E-commerce has grown considerably with increasing access to the Internet. As a means of e-commerce, the virtual brand community (VBC) has become one of the important channels for brand enterprises to promote products, enhance brand awareness and compete with enterprises in the digital economy. The most important task of any website is the provision of tailored information and services to satisfy client needs. This research aimed to evaluate the status of websites and services provided by Chinese mobile internet enterprises. Based on the Fogg behaviour model, initial criteria and sub-criteria were constructed, and a new hybrid multiple criteria decision-making (MCDM) model was used in this study that combines the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique and the analytic network process (ANP) method to determine the interaction between factors and to determine the weight of each factor. Finally, the PROMETHEE method was utilised to rank and develop the consumer interaction capability of the VBC of Chinese mobile internet enterprises. Once these perceptions were captured, among the three criteria determined for the evaluation of the VBC of different mobile internet enterprises, affective involvement was the most important criterion, followed by motivation and environment triggers. Moreover, the VBCs of three communication enterprises were evaluated and ranked to validate the proposed model.

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