scholarly journals Testing a Recent DEMATEL-Based Proposal to Simplify the Use of ANP

Mathematics ◽  
2021 ◽  
Vol 9 (14) ◽  
pp. 1605
Author(s):  
Erik Schulze-González ◽  
Juan-Pascual Pastor-Ferrando ◽  
Pablo Aragonés-Beltrán
Keyword(s):  
Experimental Test ◽  
Decision Process ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Decision Method ◽  
Network Process ◽  
Fundamental Objective

The Analytic Network Process (ANP) is a well-known multi-criteria decision method that allows the relationships between its elements to be incorporated into the model. The large number of questions to be answered is one of the main drawbacks of the method, since it is time consuming for decision makers and experts who participate in the decision process. A recent DEMATEL-based ANP proposal can significantly reduce the number and the complexity of questions. This proposal was simply exposed and lacked an experimental test with real cases. The fundamental objective of this work is to answer the question: Does it work? In this work, this new proposal is applied to 45 ANP cases published in the literature. Variants to the verified proposal have also been identified. The results obtained show that the values of the priorities and the ranks obtained with this new proposal are very similar to the results obtained with the ANP, reducing the number of questions required by 42% on average. Additionally, in this work you can find the compilation of the 45 ANP weighted supermatrices to use in your investigations.

An Analytical Approach for Evaluation of ATM Deployment Problem Criteria

2017 ◽  
Vol 16 (05) ◽  
pp. 1247-1278 ◽  
Author(s):  
Derya Celik Turkoglu ◽  
Mujde Erol Genevois
Keyword(s):  
Decision Process ◽  
Banking Industry ◽  
Evaluation Process ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Importance Value ◽  
Location Selection ◽  
Network Process ◽  
The Right ◽  
The Impact

Automated Teller Machines (ATMs) are one of the most important key touch-points to reach the customers. The investment in ATMs and the impact on the banking industry is growing steadily. Therefore, in order to increase the profitability, banks seek to make their investments in the right places for ATMs. Banks have to take into consideration many factors such as traffic flow, competition, cost and safety in order to determine the optimum locations of ATMs. This paper proposes a decision support system that determines the importance value of ATM deployment decision criteria which can be used to decide the best ATM locations afterwards. Fuzzy Analytic Network Process (FANP) methodology is preferred to evaluate the importance levels of deployment criteria and Chang’s extent analysis is employed for eliminating the vagueness of the decisions from the evaluation process. The decision-makers are asked to express their opinions on the comparative importance of various factors in linguistic terms. These linguistic variable scales are then converted into fuzzy numbers, since it becomes more meaningful to quantify a subjective measurement into a range rather than an exact value. Finally, the relative importance of the criteria is obtained. The decision process includes the identification of 17 criteria grouped into 5 clusters which are named financial, commercial, traffic, demographic and strategic. The application of the proposed method was performed for Turkish banking industry. Number of Bank’s ATMs, Expected Level of Commission Income and Expected Level of Transaction Income were found as the three most significant criteria that should be analyzed deeply by the decision makers in ATM location selection decision. The results of the proposed method considered applicable and valid by the experts who included in the decision process and this analysis demonstrated by their responses to a set of questions.

scholarly journals Deriving Fuzzy Weights of the Fuzzy Analytic Network Process via Fuzzy Inverse Matrix

Mathematics ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 914 ◽  
Author(s):  
Chen ◽  
Huang
Keyword(s):  
Programming Model ◽  
Fuzzy Ahp ◽  
Analytic Network Process ◽  
Previous Method ◽  
Inverse Matrix ◽  
Decision Makers ◽  
Fuzzy Environment ◽  
Network Process ◽  
Analytic Hierarchical Process ◽  
Fuzzy Weights

The analytic hierarchical process/network process (AHP/ANP) is a popular multi-criteria decision making approach for determining the optimal alternative or weights of criteria. Many papers have extended the AHP/ANP to consider the fuzzy environment to reflect the subjective uncertainty of decision-makers. However, the fuzzy ANP (FANP) is not as popular as the fuzzy AHP (FAHP), because the calculation of the fuzzy supermatrix results in the divergence of the steady-state. In this paper, we provide a novel mathematical programming model to calculate the limiting distribution of the fuzzy supermatrix by considering a fuzzy inverse matrix rather than directly calculate the fuzzy supermatrix by limiting powers. In addition, we use a numerical example to illustrate the proposed method and compare the results with the previous method. The numerical results indicate the proposed method has the least spread of the fuzzy weights, thus justifying the usefulness of the proposed method.

Prioritizing the vaccine supply chain issues of developing countries using an integrated ISM-fuzzy ANP framework

2019 ◽  
Vol 15 (1) ◽  
pp. 112-165 ◽  
Author(s):  
Dheeraj Chandra ◽  
Dinesh Kumar
Keyword(s):  
Developing Countries ◽  
Supply Chain ◽  
Relevant Literature ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Vaccination Programs ◽  
Network Process ◽  
Key Issues

Purpose Delivering vaccines to the children who need them requires a supply chain that is efficient and effective. In most of the developing countries, however, the unknown and unresolved supply chain issues are causing inefficiencies in distributing vaccines. There is, therefore, a great need in such countries to recognize the issues that cause delays in vaccine delivery. With this purpose, the present study aims to identify and analyze the key issues in the supply chain of basic vaccines required to immunize children in developing countries. Design/methodology/approach Based on a field survey of three states of India, in-depth review of relevant literature and experts’ opinions, 25 key issues were recognized as factors of the vaccine supply chain (VSC) and categorized into five main domains. Using integrated interpretive structural modeling and fuzzy analytic network process approaches, the issues have been prioritized to determine their relative importance in the VSC. In addition, a sensitivity analysis has been performed to investigate the priority stability of the issues. Findings The results of the analysis show that among the five domains of VSC issues, the economic domain with a weight of 0.4262 is the most important domain, followed by the management (0.2672), operational (0.2222), environmental (0.0532) and social (0.0312). Research limitations/implications This study focuses on the prioritization of VSC issues; therefore, the results of the present study can provide direction to the decision-makers of immunization programs of developing countries in driving their efforts and resources on eliminating the most important obstacles to design successful vaccination programs. Originality/value To the authors’ knowledge, this paper is first to provide a direction to the decision-makers in identifying and managing important issues through the use of an analytical approach.

Strategic Decision Making for Outsourcing Information Systems with a Fuzzy Multi-criteria Decision-Making Approach

2018 ◽  
Vol 6 (8) ◽  
pp. 6
Author(s):  
Mahmoud Modiri ◽  
Mohammad Dashti
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Strategic Decision ◽  
Multi Criteria Decision Making ◽  
Service Support ◽  
Proposed Model ◽  
Network Process ◽  
Selection Of

Today, IS supplier selection is one of the most critical steps in the outsourcing process; the success of outsourcing is highly dependent on the selection of IS suppliers. This paper proposes a new hybrid fuzzy multi-criteria decision-making (MCDM) model, which uses decision-making trial and evaluation laboratory (DEMATEL) technique, analytic network process (ANP), and Vlse Kriterijumska Optimizacija I Kompromisno Resenje(VIKOR) to evaluate four potential suppliers using seven factors and five decision makers using a realistic case study. the results showed that Service support is importance for outsourcing. The proposed model can help practitioners improve their decision making process.

scholarly journals APPLICATION OF A SWOT-FANP METHOD

2013 ◽  
Vol 19 (4) ◽  
pp. 570-592 ◽  
Author(s):  
Yun-Huei Lee
Keyword(s):  
Swot Analysis ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Strategic Decision ◽  
Planning Tool ◽  
Strategy Formulation ◽  
Relative Priority ◽  
Analytic Hierarchy ◽  
Network Process ◽  
Hierarchy Process

Strengths, weaknesses, opportunities, and threats (SWOT) analysis is an effective strategic planning tool for the development of strategy formulation, but its main weakness is being incapable of quantitatively determining the weights and effects of alternative strategic criteria. Some studies’ use of SWOT with analytic hierarchy process (AHP) would enable decision-makers to obtain-through pairwise comparisons-a relative priority of each criterion, so that the results from quantitative measures could overcome SWOT's central shortcoming. However, these studies neglect critical relationships or dependencies among SWOT factors. In this study, I propose a quantitative SWOT that rests on fuzzy analytic network process (FANP) methodology, includes possible dependencies among SWOT factors and permits the elimination of decision-makers’ uncertain and vague preferences. To this end, I chose the Taiwan biotech pharmaceutical industry as an illustrative example. 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 Use of a Combination of MRSS-ANP for Making an Innovative Landfill Siting Decision Model

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Mohammad K. Younes ◽  
N. E. Ahmad Basri ◽  
Z. M. Nopiah ◽  
H. Basri ◽  
Mohammed F. M. Abushammala
Keyword(s):  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Influential Factors ◽  
Decision Makers ◽  
Landfill Siting ◽  
Promising Tool ◽  
Extensive Evaluation ◽  
Decision Making Problem ◽  
Network Process ◽  
Operational Criteria

Landfill siting is a complex, multicriteria decision-making problem that needs an extensive evaluation of environmental, social, land use, and operational criteria. Integration of a median ranked sample set (MRSS) and an analytic network process (ANP) has been implemented to rank the associated criteria and select a suitable landfill site. It minimizes the uncertainty and the subjectivity of human judgments. Four groups of experts with different backgrounds participated in this study, and each group contained four experts. The respondent preferences were ranked in a 4-by-4 matrix to obtain the judgment sets for the MRSS. These sets were subsequently analyzed using ANP to obtain the priorities in the landfill siting criteria. The results show that land topology and distance from surface water are the most influential factors, with priorities of 0.18 and 0.17, respectively. The proposed integrated model may become a promising tool for the environmental planners and decision makers.

scholarly journals A MULTI-OBJECTIVE DECISION-SUPPORT MODEL FOR SELECTING ENVIRONMENTALLY CONSCIOUS HIGHWAY CONSTRUCTION METHODS

2015 ◽  
Vol 21 (6) ◽  
pp. 733-747 ◽  
Author(s):  
Gulbin Ozcan-Deniz ◽  
Yimin Zhu
Keyword(s):  
Construction Projects ◽  
Highway Construction ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Decision Support Model ◽  
Environmentally Conscious ◽  
Construction Methods ◽  
Environmental Objectives ◽  
Network Process ◽  
Equipment Type

The construction industry has a considerable share in overall resource and energy consumption. Consequently, decision-makers try to achieve environmentally conscious construction by integrating environmental objectives into the selection of construction elements. Due to the complexity of construction projects, it is a known challenge to provide an effective mechanism to select the most feasible construction methods. Thus, it is crucial to learn the interdependency between various resource alternatives, such as material and equipment type, under various project conditions like unavailability of resources. An analytic network process (ANP) was used in this study to construct a decision model for selecting the most feasible construction method. Data collected via interviews with highway construction experts were used to model the dependency between decision parameters, such as project conditions and resource performance indicators. The proposed ANP model output the relative importance weights of decision parameters so that they can be used to identify environmentally conscious construction methods. The proposed mechanism is a valuable asset for construction decision-makers especially when their ability to select construction methods is limited by project constraints. Although the model was tested in a highway project in this paper, it can be further extended to benefit building construction and sustainable decision-making problems.

Using ANP to Do the Information Personnel Evaluation

2010 ◽  
Vol 439-440 ◽  
pp. 749-753 ◽  
Author(s):  
Jin Yu Wei ◽  
Xin Li ◽  
Ran Bi
Keyword(s):  
Information Technology ◽  
Model Evaluation ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Personnel Evaluation ◽  
Network Process

Information technology develops faster and faster, while the information talent have become more important than ever. The Analytic Network Process (ANP) was used in the paper for evaluation of the information personnel. ANP is a feedback and interdependence process developed on the basis of AHP and the SD software was used to calculate the ANP model. Evaluation results obtained in the paper can give suggestions to decision makers.

scholarly journals The Analytic Network Process: Astronomy, Icebergs, and Big Box Stores

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Orrin Cooper
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Retail Store ◽  
Decision Makers ◽  
Disruptive Technology ◽  
Network Process ◽  
Big Box

The Analytic Network Process (ANP) is a disruptive technology that has had significant impacts in the field of decision-making. By drawing on an analogy to the field of astronomy we can see that even with all that has been developed we must avoid the illusion of thinking that the field is mature and fully discovered. The ANP has many parallels to icebergs from what portion is visible to the value of providing relevant warning products. One of the most important contributions going forward will be the discovery of the more complex and hidden relationships and tests that ANP decision makers can use to test their models. These discoveries will improve both the reputation of the ANP and decision maker’s confidence in their models. Without these discoveries, the ANP runs the risk of becoming like a big box retail store.

scholarly journals Correlated Analytic Hierarchy Process

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Hsiang-Hsi Liu ◽  
Yeong-Yuh Yeh ◽  
Jih-Jeng Huang
Keyword(s):  
Analytic Hierarchy Process ◽  
Programming Model ◽  
Analytic Network Process ◽  
Correlation Effect ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Common Effect ◽  
Proposed Model ◽  
Network Process ◽  
Hierarchy Process

The analytic hierarchy process (AHP) has been the most popular tool for the field of decision making in the past 30 years, because of its simplicity and rationality. Construct a hierarchy system for evaluation by decision makers. Hence, only the effect of outer-dependence can be considered in the AHP. However, besides outer-dependence, correlation is another common effect between criteria which cannot be accounted for neither by the AHP nor by the analytic network process (ANP). Hence, in this paper, we extend the AHP to consider the correlation effect. In addition, a biobjective programming model is proposed to derive the result. Furthermore, the traditional AHP can be considered as the special case of the proposed model when the correlation effect between criteria is ignored. Finally, a numerical example is given to justify the proposed method and compare the result with the AHP.

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