What is so special about the analytic hierarchy and network process?

Ishizaka, Alessio; Mu, Enrique

doi:10.1007/s10479-023-05412-4

Cited by 5 publications

(3 citation statements)

References 31 publications

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“…The AHP is a method of prioritizing decision factors using a pairwise comparison judgment approach to factors to create a pairwise comparison matrix and derive the priorities based on the calculation of the matrix eigenvector [ 28 ]. While the method is not without detractors, it has become theoretically robust over the years, and because it combines simplicity and rigor it is particularly useful in situations that involve a broad spectrum of stakeholder participation in the decision process [ 29 ].…”

Section: Theoretical Frameworkmentioning

confidence: 99%

An Analytic Hierarchy Process Contingency Analysis of Factors Affecting the Emigration Decision of Medical Doctors in Turkey

Kadaifci,

Topcu,

2024

EJIHPE

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While the importance of explicitly identifying and considering contingent factors such as decision content and context is widely accepted as a way to ensure the validity of the decision analysis for the specific task at hand, few studies include this. This research uses a contingency theoretical approach to study factors affecting the emigration decision of medical doctors (MDs) for the specific case of Turkey. The motivation for conducting this study arises from the observation that the growing trend in emigration among MDs from Turkey is having a significant impact on the country’s healthcare system. Dealing with the emigration of MDs is crucial for ensuring an effective and sustainable healthcare system, especially in terms of the availability of services, satisfaction, and employment of the healthcare staff. Contextual factors were explicitly identified through consultation with experts, while the generic factors were retrieved from the specialized medical migration literature. The Analytic Hierarchy Process method was utilized to prioritize the factors. Seventy-three participants were surveyed about their intention to either study or work abroad. The findings reveal that low remuneration and anxiety about their future due to the political situation in the country constitute the two most important factors driving the decision to emigrate.

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Section: Theoretical Frameworkmentioning

confidence: 99%

An Analytic Hierarchy Process Contingency Analysis of Factors Affecting the Emigration Decision of Medical Doctors in Turkey

Kadaifci,

Topcu,

2024

EJIHPE

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“…The AHP was used by Madzı´k P and Fala´t L (6) in their article "State-ofthe-art on analytic hierarchy process in the last 40 years: Literature review based on Latent Dirichlet Allocation topic modeling". https://www.indjst.org/ Alessio Ishizaka, and Enrique Mu (7) employed the AHP approach for the evaluation and selection of projects in "What is so special about the analytic hierarchy and network process?". Additionally, authors cited publications Yan Liu et al (8) for "A review of fuzzy AHP methods for decision-making with subjective judgements" and Mohd Nazim et al (9) for "A comparison between fuzzy AHP and fuzzy TOPSIS methods to software requirements selection".…”

Section: Multitasking Skillsmentioning

confidence: 99%

Analytic Hierarchy Process to Choose the Best Sector in the Software Industry for a New Software Engineer

Devi,

Afreen,

Majeed

et al. 2024

IJST

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Objectives: To determine the best area in the software industry for a fresh engineering graduate in India. Methods: Examined the current situation of the software industry today and the datasets that were gathered and included in accordance with that. Here, five alternatives (Research and Development, Mobile solutions, Cloud computing, Big data analytics, and Government and Defence) and seven parameters (Communication, Teamwork, Coding and technical literacy, Programming languages, Problem-solving skills, Research skills, and Multitasking skills) are taken into consideration. Fuzzy AHP and fuzzy TOPSIS methods were used, and the outcomes were compared to the AHP method. Findings: Fuzzy AHP and fuzzy TOPSIS methods have been used to produce the normalized weight vector for each alternative relative to the criterion. Additionally, a normalized weight vector has been calculated and compared to every criterion and criteria alternative. Final rankings for each alternative have been determined in relation to all of these. Novelty: The novelty of the present study is to identify the best sector of the software industry in India for a recent engineering graduate based on providing a ranking of alternatives using fuzzy TOPSIS and fuzzy AHP methodologies. While other strategies may be used to do similar works, the techniques listed above may not be used. Fuzzy AHP and fuzzy TOPSIS approaches can provide more optimal solutions, which is an innovative aspect of this study. Keywords: Analytical Hierarchy Process (AHP), Comparative analysis, Fuzzy AHP method, Fuzzy TOPSIS method, Software industry

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“…These findings are the main reasons for selecting the FAHP method in this study. Multiple studies conduct systematic literature review (SLR) on AHP and FAHP (Ishizaka & Mu, 2023;Labib et al, 2022;Madzík & Falát, 2022;Tavana et al, 2021). As AHP is a widely used approach, multiple studies perform systematic literature reviews.…”

Section: Fuzzy Analytic Hierarchy Processmentioning

confidence: 99%

Hybrid Approach for the Financial Assessment of Companies using Fuzzy Multi-Criteria Decision-Making and Self-Organizing Maps

Yiğit

2024

İnsan Ve Toplum Bilimleri Araştırmaları Dergisi

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This paper presents a 3-stage innovative approach for company assessment, integrating financial ratios with the Fuzzy Analytic Hierarchy Process (FAHP) and using an unsupervised artificial intelligence method, Self-Organizing Maps (SOM), for classification. Addressing the challenges of decision-making in resource allocation, the study combines accurate data with robust tools essential in turbulent economic times. FAHP, known for handling complex, uncertain information, is applied to refine the traditional company assessment methods by integrating different experts' opinions and conversion to numerical values. This study presents an innovative framework by integrating financial ratios, commonly used in company evaluation methodologies, with FAHP, which is capable of processing complex and uncertain data. The integration of financial ratios into FAHP enhances the accuracy and clarity in decision-making processes for evaluating and ranking companies while also allowing for the management of the inherent uncertainties in economic data. Furthermore, SOM, an unsupervised artificial intelligence method for company classification, is used. Net Profit Margin is the financial ratio evaluated with the highest weight among financial ratios by 0.38. After the FAHP phase, financial ratios obtained from the income statements and balance sheets of companies are multiplied by the respective weights for valuation. In the final phase, a total of 6 companies listed in the Borsa Istanbul Insurance Index are divided into 3 classes. The two companies receiving the highest valuation, AGESA (Agesa Life and Pension) and ANHYT (Anadolu Life Pension Joint Stock Company), have been classified as Class A. To show the performance of the proposed model, companies registered in the Electricity Sector XELKT registered 31 companies. Classification also performed well in that set. The paper contributes to the field by providing a detailed literature review, methodology, case study results, and discussions on the practical implications of this integrated assessment method and possible areas for further research and applications.

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What is so special about the analytic hierarchy and network process?

Cited by 5 publications

References 31 publications

An Analytic Hierarchy Process Contingency Analysis of Factors Affecting the Emigration Decision of Medical Doctors in Turkey

An Analytic Hierarchy Process Contingency Analysis of Factors Affecting the Emigration Decision of Medical Doctors in Turkey

Analytic Hierarchy Process to Choose the Best Sector in the Software Industry for a New Software Engineer

Hybrid Approach for the Financial Assessment of Companies using Fuzzy Multi-Criteria Decision-Making and Self-Organizing Maps

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