scholarly journals Low-Carbon Energy Planning: A Hybrid MCDM Method Combining DANP and VIKOR Approach

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3401 ◽  
Author(s):  
Ruijun Liu ◽  
Hao Sun ◽  
Lu Zhang ◽  
Qianwei Zhuang ◽  
Lele Zhang ◽  
...  
Keyword(s):  
Decision Making ◽  
Living Standards ◽  
Energy Planning ◽  
Multi Criteria Decision Making ◽  
Environment Protection ◽  
Low Carbon ◽  
Analytical Network Process ◽  
Network Process ◽  
Mcdm Method ◽  
Low Carbon Energy

With the development of urbanization, people’s living standards have improved. Simultaneously, the growing aggravation of resource shortages and environmental pollution have also gradually attracted widespread attention. Low-carbon energy planning can effectively reduce dependence on fossil resources and carbon emissions to the atmosphere, as well as improve the utilization of resources. Therefore, the formulation and evaluation of low-carbon energy planning have become the focus of attention for related colleges and institutions. This paper puts forward a hybrid multi-criteria decision making(MCDM) method combining decision making trial and evaluation laboratory(DEMATEL), analytical network process(ANP), and VIKOR to obtain the weight of each criterion and evaluate each alternative about low-carbon energy planning for building. A hierarchy structure of criteria involving cost, safety, reliability, and environment protection is built. Afterwards, a case of four alternatives is applied for testifying this methodology. Lastly, a comparison with prior methodologies serves as proof of the raised ranking. The presentation has proved that this methodology offers a more precise and effective foundation for decisions about low-carbon energy planning evaluation.

Applying the Fuzzy Analytical Network Process in Digital Marketing

2016 ◽  
pp. 202-232 ◽  
Author(s):  
Patrick Kaltenrieder ◽  
Sara D'Onofrio ◽  
Edy Portmann
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Information Overload ◽  
Digital Marketing ◽  
Multi Criteria Decision Making ◽  
Analytical Network Process ◽  
Network Process ◽  
Mcdm Method ◽  
The Web ◽  
Advanced Visualization

The fuzzy analytical network process (FANP) is introduced as a potential multi-criteria-decision-making (MCDM) method to improve digital marketing management endeavors. Today's information overload makes digital marketing optimization, which is needed to continuously improve one's business, increasingly difficult. The proposed FANP framework is a method for enhancing the interaction between customers and marketers (i.e., involved stakeholders) and thus for reducing the challenges of big data. The presented implementation takes realities' fuzziness into account to manage the constant interaction and continuous development of communication between marketers and customers on the Web. Using this FANP framework, the marketers are able to increasingly meet the varying requirements of their customers. To improve the understanding of the implementation, advanced visualization methods (e.g., wireframes) are used.

Applying the Fuzzy Analytical Network Process in Digital Marketing

Big Data ◽  
2016 ◽  
pp. 1159-1188
Author(s):  
Patrick Kaltenrieder ◽  
Sara D'Onofrio ◽  
Edy Portmann
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Information Overload ◽  
Digital Marketing ◽  
Multi Criteria Decision Making ◽  
Analytical Network Process ◽  
Network Process ◽  
Mcdm Method ◽  
The Web ◽  
Advanced Visualization

The fuzzy analytical network process (FANP) is introduced as a potential multi-criteria-decision-making (MCDM) method to improve digital marketing management endeavors. Today's information overload makes digital marketing optimization, which is needed to continuously improve one's business, increasingly difficult. The proposed FANP framework is a method for enhancing the interaction between customers and marketers (i.e., involved stakeholders) and thus for reducing the challenges of big data. The presented implementation takes realities' fuzziness into account to manage the constant interaction and continuous development of communication between marketers and customers on the Web. Using this FANP framework, the marketers are able to increasingly meet the varying requirements of their customers. To improve the understanding of the implementation, advanced visualization methods (e.g., wireframes) are used.

Adoption of Online Marketing for Service SMEs with Multi-Criteria Decision-Making Approach

2020 ◽  
pp. 356-374
Author(s):  
Lanndon Ocampo ◽  
Rosalin Merry Berdin Alarde ◽  
Dennis Anthony Kilongkilong ◽  
Antonio Esmero
Keyword(s):  
Decision Making ◽  
Small And Medium Enterprises ◽  
Analytic Network Process ◽  
Global Market ◽  
Service Industries ◽  
Online Marketing ◽  
Multi Criteria Decision Making ◽  
Network Process ◽  
Mcdm Method ◽  
Medium Enterprises

This chapter attempts to fill in the gap of evaluating the viability of adopting online marketing for small and medium enterprises (SMEs) in service industries. As SMEs are generally characterized by shortage of resources, the use of online marketing strategies is apparently difficult. However, the current landscape of competition among SMEs in a global market economy prompts the necessity of adopting online marketing. With these, the decision-making process of SMEs in this area becomes complex and the decisions must integrate complex and interrelating criteria and constructs in order to provide a more holistic solution. Thus, this work adopts a multi-criteria decision-making (MCDM) method particularly the analytic network process (ANP) in order to evaluate the practicability of using online marketing for service SMEs. It becomes highly relevant as it provides significant insights to decision-makers in SMEs regarding the use of online marketing strategy. The contribution of this chapter lies in the application of MCDM in evaluating viability of online marketing in service SMEs.

scholarly journals Analytical Network Process in Selection of 7PL

2020 ◽  
Vol 9 (4) ◽  
pp. 313-314
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Relative Priority ◽  
Analytical Network Process ◽  
Complex Problems ◽  
Priority Weights ◽  
Network Process ◽  
A Company ◽  
Final Selection ◽  
Selection Of

This article aims in selection and evaluation of a Seventh Party Logistic provider (7PL) which integrates all the functions of a company globally. The procedure for selection is based on the criteria’s and their relative priority weights. Analytical Network Process (ANP) is used in complex problems where Multi-criteria decision making is involved. After identification of criteria using ANP final selection is done. This paper is informatory to researchers to understand and apply ANP to MCDM problems.

Adoption of Online Marketing for Service SMEs with Multi-Criteria Decision-Making Approach

2017 ◽  
pp. 226-243 ◽  
Author(s):  
Lanndon Ocampo ◽  
Rosalin Merry Berdin Alarde ◽  
Dennis Anthony Kilongkilong ◽  
Antonio Esmero
Keyword(s):  
Decision Making ◽  
Small And Medium Enterprises ◽  
Analytic Network Process ◽  
Global Market ◽  
Service Industries ◽  
Online Marketing ◽  
Multi Criteria Decision Making ◽  
Network Process ◽  
Mcdm Method ◽  
Medium Enterprises

This chapter attempts to fill in the gap of evaluating the viability of adopting online marketing for small and medium enterprises (SMEs) in service industries. As SMEs are generally characterized by shortage of resources, the use of online marketing strategies is apparently difficult. However, the current landscape of competition among SMEs in a global market economy prompts the necessity of adopting online marketing. With these, the decision-making process of SMEs in this area becomes complex and the decisions must integrate complex and interrelating criteria and constructs in order to provide a more holistic solution. Thus, this work adopts a multi-criteria decision-making (MCDM) method particularly the analytic network process (ANP) in order to evaluate the practicability of using online marketing for service SMEs. It becomes highly relevant as it provides significant insights to decision-makers in SMEs regarding the use of online marketing strategy. The contribution of this chapter lies in the application of MCDM in evaluating viability of online marketing in service SMEs.

Low Carbon Energy Transitions

2018 ◽  
Author(s):  
Kathleen Araújo
Keyword(s):  
Nuclear Power ◽  
National Policy ◽  
Good News ◽  
Energy Planning ◽  
Low Carbon ◽  
Technological Complexity ◽  
Energy Transitions ◽  
Oil Crisis ◽  
Government Workers ◽  
Low Carbon Energy

The world is at a pivotal crossroad in energy choices. There is a strong sense that our use of energy must be more sustainable. Moreover, many also broadly agree that a way must be found to rely increasingly on lower carbon energy sources. However, no single or clear solution exists on the means to carry out such a shift at either a national or international level. Traditional energy planning (when done) has revolved around limited cost projections that often fail to take longer term evidence and interactions of a wider set of factors into account. The good news is that evidence does exist on such change in case studies of different nations shifting toward low-carbon energy approaches. In fact, such shifts can occur quite quickly at times, alongside industrial and societal advance, innovation, and policy learning. These types of insights will be important for informing energy debates and decision-making going forward. Low Carbon Energy Transitions: Turning Points in National Policy and Innovation takes an in-depth look at four energy transitions that have occurred since the global oil crisis of 1973: Brazilian biofuels, Danish wind power, French nuclear power, and Icelandic geothermal energy. With these cases, Dr. Araújo argues that significant nationwide shifts to low-carbon energy can occur in under fifteen years, and that technological complexity is not necessarily a major impediment to such shifts. Dr. Araújo draws on more than five years of research, and interviews with over 120 different scientists, government workers, academics, and members of civil society in completing this study. Low Carbon Energy Transitions is written for for professionals in energy, the environment and policy as well as for students and citizens who are interested in critical decisions about energy sustainability. Technology briefings are provided for each of the major technologies in this book, so that scientific and non-scientific readers can engage in more even discussions about the choices that are involved.

scholarly journals Complex T-spherical fuzzy Dombi aggregation operators and their applications in multiple-criteria decision-making

2021 ◽  
Author(s):  
Faruk Karaaslan ◽  
Mohammed Allaw Dawood Dawood
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Fuzzy Set ◽  
Multiple Criteria Decision Making ◽  
Aggregation Operators ◽  
Multi Criteria Decision Making ◽  
Two Dimensional ◽  
Weighted Arithmetic ◽  
Mcdm Method ◽  
Dombi Operations

AbstractComplex fuzzy (CF) sets (CFSs) have a significant role in modelling the problems involving two-dimensional information. Recently, the extensions of CFSs have gained the attention of researchers studying decision-making methods. The complex T-spherical fuzzy set (CTSFS) is an extension of the CFSs introduced in the last times. In this paper, we introduce the Dombi operations on CTSFSs. Based on Dombi operators, we define some aggregation operators, including complex T-spherical Dombi fuzzy weighted arithmetic averaging (CTSDFWAA) operator, complex T-spherical Dombi fuzzy weighted geometric averaging (CTSDFWGA) operator, complex T-spherical Dombi fuzzy ordered weighted arithmetic averaging (CTSDFOWAA) operator, complex T-spherical Dombi fuzzy ordered weighted geometric averaging (CTSDFOWGA) operator, and we obtain some of their properties. In addition, we develop a multi-criteria decision-making (MCDM) method under the CTSF environment and present an algorithm for the proposed method. To show the process of the proposed method, we present an example related to diagnosing the COVID-19. Besides this, we present a sensitivity analysis to reveal the advantages and restrictions of our method.

scholarly journals A Model Proposed for the Prediction of Future Sustainable Residence Specifications Using Analytical Network Process

2019 ◽  
Vol 4 (3) ◽  
pp. 109
Author(s):  
Ayman M. Zakaria Eraqi ◽  
Walid Abdul-Hady Shoura
Keyword(s):  
Decision Making ◽  
Developing Countries ◽  
Demographic Characteristics ◽  
Relative Importance ◽  
Good Decision ◽  
Analytical Network Process ◽  
Network Process ◽  
Decision Structure ◽  
Occupant Satisfaction

In Egypt, people are unable to determine the qualities of appropriate residence that achieves quality and occupant satisfaction, and contributes to sustainability of residential conglomerations. In general, developing countries lack housing information which can be used to enhance quality of residence. Also, the methods of assessing and identifying the appropriate criteria for future residence quality remain traditional ones that cannot address the multiple, conflicting, overlapping aspects to reach a good decision. This calls for using the Analytical Network Process  (ANP), an effective tool for specifying the relative importance of all factors impacting a specific issue for making an appropriate residential decision. In addition, this method provides results for the decision element impacts network within the decision structure; thus contributing to more understanding of the mechanisms and requirements of residence selection. The proposed decision structure comprises a two-level network: main clusters, main elements, and sub-elements included in the demographic characteristics group, the residence criteria group, the demand parameters group, the supply parameters group, the residence specifications group, and the alternatives group which representing, in total, the decision and specifying the percentage needed for each housing level. Results of the model showed complete capacity in smoothly addressing complexities and overlapping in the decision structure. The decision structure showed that 52% chose luxury residence, 28% chose middle-class residence, and 19.5% chose the economic residence. Mechanisms of decision making were analyzed; particularly in terms of relationship to demographic characteristics and residence specifications. Also, the importance and impact of demand / supply parameters in reaching decision were analyzed.

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