Extended Fuzzy Analytic Hierarchy Process (E-FAHP): A General Approach

Mullor, Javier Reig; Pla‐Santamaria, David; Garcı́a-Bernabeu, Ana

doi:10.3390/math8112014

Cited by 24 publications

(8 citation statements)

References 55 publications

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“…The main empirical limitation of the research can be interpreted as a future research discourse within this topic. Application of the traditional fuzzy analytic hierarchy process (FAHP), the modified version of extended fuzzy analytic hierarchy process (E-FAHP), or a combination of different multi-criteria decision-making (MCDM) techniques can reduce the vagueness inherent in a stand-alone linguistic assessment and an uncertain comparison of opinions [68]. Accordingly, future scientific discussions and empirical investigations should be focused on using this set of methodological techniques in continuous scientific investigations.…”

Section: Discussion and Limitationsmentioning

confidence: 99%

Reflections on the Customer Decision-Making Process in the Digital Insurance Platforms: An Empirical Study of the Baltic Market

Baranauskas

Raišienė

2021

Applied Sciences

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Multifold effects of the COVID-19 global health crisis and economic lockdowns are reflected in the insurance industry, and are predicted to expand to the post-COVID-19 era. It is expected that, within a short period of time, the current worldwide situation, in regards to the coronavirus pandemic, will be reflected in new trends, regarding customer behavior, organizational management, and culture, as well as reveal improved business management models, legacy infrastructure, and service systems in insurance organizations. Here, a focus on end-user preferences, data, and their behavior modeling in digital platforms are major practical drivers within the modern insurance concept, but there is a paucity of researches within the theoretical synthesis of consumer decision-making (CDM) models, information system theories, and behavioral economics concerning modern insurance-specific value chains and digitalized decision-making processes. Therefore, the following research aims to expand upon the existing scientific knowledge of end-user behavioral patterns and process frameworks in the Baltic insurance market, by including and examining a factor group of technological enablers and a digital environment. Research results in digitalization, personalization, and customization levels within the Baltic non-life insurance market are homogenous with a leading position of Estonia and overall evaluations ranging between Satisfied and Rather Good. There are also three major factor groups and process stages identified, which influence insurance purchase decision-making in digital insurance platforms in the Baltic market.

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Section: Discussion and Limitationsmentioning

confidence: 99%

Reflections on the Customer Decision-Making Process in the Digital Insurance Platforms: An Empirical Study of the Baltic Market

Baranauskas

Raišienė

2021

Applied Sciences

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“…In the classical AHP method, n refers to the number of criteria and n (n−1)/2 pairwise comparisons are required [ 61 ]. The diagonal elements of the matrix formed as a result of pairwise comparisons take the value of 1.…”

Section: Methodsmentioning

confidence: 99%

Sustainable energy planning for the aspiration to transition from fossil energy to renewable energy in Northern Cyprus

Akçaba

Eminer

2022

Heliyon

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“…Additionally, FAHP has been compared with AHP by Lee [ 34 ], highlighting their respective advantages and disadvantages. Recognizing the limited efficiency and applicability of traditional FAHP, numerous studies have discussed and extended upon the FAHP approach [ 35 , 36 ]. On the other hand, objective weighting methods assign weights to different indicators based on information contained within them.…”

Section: Literature Reviewmentioning

confidence: 99%

Study on spatial distribution, regional differences and dynamic evolution of rural financial risk in China

Zhou,

2024

PLoS ONE

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Based on panel data from 2009 to 2021, covering 30 provinces in China, we have been constructed the Rural Financial Risk Index using the objective entropy weighting method to study rural financial risk in China systematically from the perspective of spatial distribution. Specifically, we discuss the spatial distribution, regional differences and dynamic evolution of rural financial risk across Chinese four different regions divided into the Northeast, East, Central and West. It’s found that Local government debt and Land transfer income are the two primary determinants influencing the level of rural financial risk in China. Furthermore, we conclude the ranking value of rural financial risk across four regions that the central exhibits the highest level, followed by the West, the East, and finally the Northeast, where the reasons for such ranking results as follows. Firstly, although the highest level of risk among provinces in the West is equivalent to that in the Central, there exists a smaller minimum rural financial risk in the former compared to the latter. Then, it should be noted that there’s a low-low agglomeration of rural financial risk in the Northeast, while it demonstrates a high-high agglomeration in the Central according to the Moran Index test analysis. Again, there’s a declining trend in rural financial risk disparity within the region and an upward trend is observed when comparing different regions (except the East vs West), especially increase largely between the Northeast and Central in past two years after analyzing the decomposition of Dagum Gini coefficient. Moreover, we study the absolute differences and dynamic evolution in different four regions through three-dimensional diagram of kernel density estimation, and it’s found that the change of rural financial risk in four regions moved to the right as a whole, while the tail distribution remains inconspicuous. The absolute difference is diminishing in the Northeast, and the two-level differentiation characteristics tend to weaken as a whole in the Central, with a disordered wave peak height observed in both the East and West. Finally, the article presents pertinent policy implications but limitations according to the research findings.

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Extended Fuzzy Analytic Hierarchy Process (E-FAHP): A General Approach

Cited by 24 publications

References 55 publications

Reflections on the Customer Decision-Making Process in the Digital Insurance Platforms: An Empirical Study of the Baltic Market

Reflections on the Customer Decision-Making Process in the Digital Insurance Platforms: An Empirical Study of the Baltic Market

Sustainable energy planning for the aspiration to transition from fossil energy to renewable energy in Northern Cyprus

Study on spatial distribution, regional differences and dynamic evolution of rural financial risk in China

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