A Method to Diagnose Public Administration Interoperability Capability Levels Based on Multi-Criteria Decision-Making

2018 ◽  
Vol 17 (01) ◽  
pp. 209-245 ◽  
Author(s):  
José Marcelo Almeida Prado Cestari ◽  
Eduardo de Freitas Rocha Loures ◽  
Eduardo Alves Portela Santos
Keyword(s):  
Decision Making ◽  
Public Administration ◽  
Critical Factor ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
The Public ◽  
Development Framework ◽  
Diagnosis Method ◽  
Extended View ◽  
Hierarchy Process

Interoperability is a critical factor for public administration-related entities operating in collaborative/cooperative environments. Thus, performing an interoperability diagnosis, with respect to other usual assessment approaches, provides a more adequate and extended view in establishing qualities and gaps, and helping to prioritize actions to increase performance and maturity of a government-related organization. This paper presents a diagnosis method called Public Administration Interoperability Diagnosis Method (PAIDM), using Analytic Hierarchy Process (AHP) as multi-criteria decision-making structure to calculate the capability levels diagnosed. A proposed development framework guides a systematic literature review, followed by a survey of experts and a set of quantitative and qualitative methods related to the extraction and modeling of the knowledge from the public administration domain mapped into theoretical, conceptual, and practical outputs devoted to PAIDM execution. The paper also raises a public administration interoperability capability model used as a reference for the diagnosis and presents general results of two public administration application cases regarding their capability levels.

Some Conflicting Results in the Analytic Hierarchy Process

2019 ◽  
Vol 18 (02) ◽  
pp. 465-486 ◽  
Author(s):  
Ardalan Bafahm ◽  
Minghe Sun
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Decision Makers ◽  
Unexpected Result ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Preference Relations ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

The analytic hierarchy process (AHP) has been believed to be one of the most pragmatic and widely accepted methods for multi-criteria decision making. However, there have been various criticisms of this method within the last four decades. In this study, the results of AHP contradicting common expectations are examined for both the distributive and ideal modes. Specifically, conflicting priorities, conflicting decisions, and conflicting preference relations are investigated. A decision-making scenario is used throughout the paper and an illustrative example constructed from the decision-making scenario is provided to demonstrate each of the conflicting results recommended by AHP. With a parametric formulation of each unexpected result, the possibility of unexpected results of AHP is generalized irrespective of applying the distributive or ideal mode. The logic and causes of these contradictions are also analyzed. This study shows that AHP is not always reliable, and could lead the decision makers towards incorrect decisions.

Fuzzy Analytic Hierarchy Process and Its Application to E-Marketplace Selection

2013 ◽  
pp. 26-44 ◽  
Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multi Criteria Decision Making ◽  
Linguistic Variables ◽  
Analytic Hierarchy ◽  
Multi Attribute Decision Making ◽  
Electronic Parts ◽  
Hierarchy Process

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.

Quantifying Decision Making in the Critical Infrastructure via the Analytic Hierarchy Process (AHP)

2020 ◽  
pp. 465-477
Author(s):  
John S. Hurley
Keyword(s):  
Decision Making ◽  
Critical Infrastructure ◽  
Senior Leaders ◽  
Analytic Hierarchy ◽  
The Public ◽  
Logic Control ◽  
Key Stakeholders ◽  
Unique Nature ◽  
History Of ◽  
Hierarchy Process

In this paper, we examine the benefits of a more quantifiable way to make decisions that enable senior leaders to better manage disruption of and attacks on the critical infrastructure. Most of the decisions have been made using intuition and in some cases unrelated experiences and have not particularly worked to the benefit of the sectors' performance and stability. Much of this is due to the history of the logic control systems and networks that were fairly isolated and much better protected. Attempts to reduce costs and secure many of the benefits of IP-based environments have unfortunately now also introduced some of the vulnerabilities indicative of IP-based systems into the logic environments. Senior leaders have not been used to these new ‘hybrid' information technology/operational technology (IT/OT) environments which though creating new opportunities also introduce new challenges. The unique nature of the critical infrastructure in which it is over 80%-owned by the private sector, often regulated by the federal government, and serves the interests and demands of the public, creates a non-trivial challenge at many different levels. More trust and cooperation between the three elements of society is surely a desired interest by the key stakeholders, but there are many concerns in terms of over-regulation, costs, and loss of intellectual property that have consistently sustained a level of discomfort between the three communities in terms of the priorities and self-serving interests of each other. The challenges of the low asymmetry entry and attribution within the cyber domain have raised the profile of many actors who would not even have previously registered in the ‘noise' on a trouble or problem scale. Now, the ability to determine those responsible, as well as, almost any actor having the ability to present a challenge to the environment have changed many of the dynamics in terms of how senior leaders must now operate and manage the appropriate systems and networks. Hence, for obvious reasons, senior leaders are much more cautious in their approach to decision making because of the potential consequences. This is especially true because cyber assets, though so valuable can be also so vulnerable. In this study, we will discuss a method that moves decision from a less arbitrary to a more data-centric, quantifiable approach that drives leadership to better and quicker decisions.

scholarly journals A consumer-based textile quality scoring model using multi-criteria decision making

2019 ◽  
Vol 14 ◽  
pp. 155892501985477
Author(s):  
Romain Benkirane ◽  
Sébastien Thomassey ◽  
Ludovic Koehl ◽  
Anne Perwuelz
Keyword(s):  
Decision Making ◽  
Quality Criteria ◽  
Quality Score ◽  
Ranking Method ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Requirements Specifications ◽  
Textile Testing ◽  
Fuzzy Techniques ◽  
Hierarchy Process

In the clothing industry, the understanding of the quality is a major issue to well meet the customer needs. The dilemma that faces manufacturers is to find the balance between good quality and “overquality,” what the quality criteria are, and how to target requirements specifications. The aim of this study was to propose a multi-attribute ranking method of products. Ranking is based on an overall quality score. The quality score, here called consumer-based quality, is computed via the combination of textile testing and consumer perception to deterioration. Such a perception has been surveyed, and damage that can lead to end of life has been investigated. Collected data have been translated into a consumer sensitivity using multi-criteria decision making and fuzzy techniques. The fuzzy analytic hierarchy process has been used. Five damage categories have been weighted. A selection of appropriate tests according to standards has been completed to test the product resistance to the damage. The tests results have been computed with the consumer sensitivity to obtain the consumer-based quality score. Finally, the ranking method is applied on T-shirts, and a single score ranking is made possible and objectively depict perceived quality.

scholarly journals A Novel Neutrosophic Data Analytic Hierarchy Process for Multi-Criteria Decision Making Method: A Case Study in Kuala Lumpur Stock Exchange

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 53687-53697 ◽  
Author(s):  
Desmond Jun Yi Tey ◽  
Yee Fei Gan ◽  
Ganeshsree Selvachandran ◽  
Shio Gai Quek ◽  
Florentin Smarandache ◽  
...  
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Stock Exchange ◽  
Multi Criteria Decision Making ◽  
Kuala Lumpur ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Data Analytic

scholarly journals Applying the Multi-Criteria Decision-Making Approach for Lawyer Selection from Law Firms’ Perspective in China

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1370
Author(s):  
Chin-Tsai Lin ◽  
Ching-Chiang Yeh ◽  
Fan Ye
Keyword(s):  
Decision Making ◽  
Evaluation Model ◽  
Hybrid Approach ◽  
Law Firms ◽  
Multi Criteria Decision Making ◽  
Human Resource Managers ◽  
Law Firm ◽  
Analytic Hierarchy ◽  
Resource Managers ◽  
Hierarchy Process

This study proposes a novel evaluation model for lawyer selection incorporating the lawyer’s backbone leadership attitude employing the hybrid multi-criteria decision-making (MCDM) approach. In the proposed approach, the lawyer’s backbone leadership attitude is employed as an evaluation factor in the evaluation model for lawyer selection from law firms’ perspective. In this paper, a hybrid approach based on the Delphi technique and analytic hierarchy process (AHP) is proposed to manage qualitative and quantitative criteria for selecting the best alternative lawyer for law firms in China. Finally, a law firm in China is carried out to verify the feasibility of the proposed approach. Based on the result, the backbone leadership does provide valuable information in the evaluation model for lawyer selection. The results also revealed that the proposed approach would help law firms and human resource managers to understand and develop strategies to hire a lawyer.

scholarly journals Fusion of BWM and AHP MCDM Methods to Choose the Most Suitable Secondary School for an Individual in the Context of Bangladesh

2019 ◽  
Vol 06 (03) ◽  
pp. 311-328
Author(s):  
N. S. M. Rezaur Rahman ◽  
Md. Abdul Ahad Chowdhury ◽  
Adnan Firoze ◽  
Rashedur M. Rahman
Keyword(s):  
Decision Making ◽  
Secondary School ◽  
Pairwise Comparison ◽  
User Preferences ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Final Score ◽  
Hierarchy Process ◽  
Best Worst Method

Choosing the best schools from a group of schools is a multi-criteria decision-making (MCDM) problem. In this paper, we have represented a method that uses the fusion of two multi-criteria decision-making methods, Best–Worst Method (BWM) and Analytic Hierarchy Process (AHP), to rank some of the user preferred alternatives. The system considers the choice of the user and the quality of the alternatives to rank them. User preferences on the criteria are taken as inputs in the form of best–worst comparison vectors to measure the choice of the user. These values are applied to calculate the numeric weights of each of the criteria. These weights reflect the preference of the user. A dataset of secondary schools in Bangladesh has been compiled and used for automatic quantitative pairwise comparison on the alternatives to calculate the score of each alternative in every criterion, which reflects its quality in that criterion. These scores are calculated using AHP. The weights of the criteria as well as the scores of these alternatives in those criteria are then used to calculate the final score of the alternatives and to rank them accordingly. An extensive experimental analysis and comparative study is reported at the end of this paper.

scholarly journals Fuzzy Analytic Hierarchy Process-Based Multi-Criteria Decision Making for Universities Ranking

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1351
Author(s):  
Rashad Aliyev ◽  
Hasan Temizkan ◽  
Rafig Aliyev
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Performance Indicator ◽  
Real Life ◽  
Fuzzy Analytic Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Life Problems ◽  
Types Of Information ◽  
Hierarchy Process

High competition between universities has been increasing over the years, and stimulates higher education institutions to attain higher positions in the ranking list. Ranking is an important performance indicator of university status evaluation, and therefore plays an essential role in students’ university selection. The ranking of universities has been carried out using different techniques. Main goal of decision processes in real-life problems is to deal with the symmetry or asymmetry of different types of information. We consider that multi-criteria decision making (MCDM) is well applicable to symmetric information modelling. Analytic hierarchy process (AHP) is a well-known technique of MCDM discipline, and is based on pairwise comparisons of criteria/alternatives for alternatives’ evaluation. Unfortunately, the classical AHP method is unable to deal with imprecise, vague, and subjective information used for the decision making process in complex problems. So, introducing a more advanced tool for decision making under such circumstances is inevitable. In this paper, fuzzy analytic hierarchy process (FAHP) is applied for the comparison and ranking of performances of five UK universities, according to four criteria. The criteria used for the evaluation of universities’ performances are teaching, research, citations, and international outlook. It is proven that applying FAHP approach makes the system consistent, and by the calculation of coefficient of variation for all alternatives, it becomes possible to rank them in prioritized order.

scholarly journals A Novel Approach for Ontological Representation of Analytic Hierarchy Process

2014 ◽  
Vol 988 ◽  
pp. 675-682 ◽  
Author(s):  
Yong Xin Liao ◽  
Eduardo Rocha Loures ◽  
Osíris Canciglieri ◽  
Hervé Panetto
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Assessment Tool ◽  
Assessment Methods ◽  
Multi Criteria Decision Making ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Novel Approach ◽  
Priority Assessment ◽  
Hierarchy Process

The Analytic Hierarchy Process (AHP) is one of the widely accepted and frequently used priority assessment methods. A number of studies, which employed the AHP method, have already been carried out in different domains to support their multi-criteria decision-making definitions and applications. However, few researchers have paid attentions to extract and represent the important concepts and their relationships from the AHP method itself. The aim of this study is firstly to propose a way for representing the AHP method as an AHP Ontology together with a set of reasoning rules. Then, a prototype assessment tool is developed to show the possibility of obtaining more flexibility and reusability of this ontological representation.

scholarly journals إستعمال إسلوب تعدد الأهداف الأمثل وفقاً للتحليل النسبي مع تطبيق عملي

2020 ◽  
Vol 26 (122) ◽  
pp. 412-421
Author(s):  
Mohamed Naji Razooqee ◽  
Marwan Abdul Hameed Ashour
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Composite Score ◽  
Multi Criteria Decision Making ◽  
Multi Objective Optimization ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Hierarchy Process

يهدف البحث الى حل مشكلة إختيار المشروع المناسب من عدة مشاريع خدمية لمؤسسة الشهداء العراقية أو ترتيبها حسب الافضلية ضمن المعايير المستهدفة من قبل متخذ القرار، يتم  ذلك عن طريق إستعمال احدى الطرق الكمية في اتخاد القرارات متعددة الأهداف (Multi Criteria Decision  Making)  ((MCDM الا وهي طريقة التحسين متعدد الأهداف حسب التحليل النسبي (Multi Objective Optimization by Ratios Analysis) ((MOORA لقياس الدرجة المركبة (composite score) للأداء  الذي يحصل عليه كل بديل وأقصى فائدة تعود على الجهة المستفيدة وحسب المعايير واوزانها التي يتم حسابها عن طريق عملية التسلسل الهرمي التحليلي (Analytic Hierarchy Process) ((AHP ، اهم النتائج التي توصل اليها البحث وبالأعتماد على رأي الخبراء هي إختيار المشروع الثاني كأفضل بديل وعمل ترتيب (Ranking) حسب الأداء والدرجة المركبة التي حصل عليها كل بديل ، كما توصل الباحثون الى امكانية تطبيق النموذج لحل مختلف مشاكل (MCDM) وخاصة في الحالات التي تكون فيها المعايير متضاربة في مزيد من البحوث.

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