Multi-expert performance evaluation of healthcare institutions using an integrated intuitionistic fuzzy AHP&amp;DEA methodology

Otay, İrem; Öztayşi, Başar; Onar, Sezi Çevik; Kahraman, Cengiz

doi:10.1016/j.knosys.2017.06.028

Cited by 152 publications

(86 citation statements)

References 44 publications

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“…As for future work, fuzzy inference systems can be used for debt collection problem [21]. Besides, other fuzzy MADM methods like intuitionistic fuzzy AHP [22], hesitant fuzzy AHP [23], intuitionistic fuzzy ANP [24], spherical fuzzy VIKOR [25], spherical fuzzy WASPAS [26], single-valued spherical TOPSIS [27] or intervalvalued spherical fuzzy TOPSIS [28] can be used in evaluating law offices and can be compared with the findings of the current study.…”

Section: Resultsmentioning

confidence: 97%

Performance Comparisons of Law Offices and Optimum Allocation of Debt Files Using Z-Fuzzy AHP

Kahraman

Öztayşi

Onar

2019

Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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The performance of law offices can be comparatively measured by multicriteria decision making methods. Linguistic assessments can be used in this process rather than exact numerical evaluations. The performance evaluation is generally realized in a vague and imprecise environment. Fuzzy set theory is often very beneficial for evaluating the subjective judgments of decision makers. The Analytic Hierarchy Process is the most used multi-criteria decision making method in the world because of its simplicity and efficiency. A Z-fuzzy number is a relatively new concept in fuzzy set theory that enables one to circumvent the limitations of ordinary fuzzy numbers. They give a better representation than ordinary fuzzy numbers. We use a Zfuzzy AHP to compare the performances of law offices and allocate the debt files according to their performances.

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Section: Resultsmentioning

confidence: 97%

Performance Comparisons of Law Offices and Optimum Allocation of Debt Files Using Z-Fuzzy AHP

Kahraman

Öztayşi

Onar

2019

Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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“… Before aggregating the individual decision matrices, each individual matrix needs to be proven consistent. Using the defuzzified matrices to compute the consistency is a commonly used technique . The crisp number

μ_{\overset{true~}{d}}

that represents a trapezoidal fuzzy number,

\overset{d}{true} = ((),,,, l, m_{1}, m_{2}, u),

is estimated via the following equation:

μ_{\overset{true~}{d}} = \frac{l + 2 m_{1} + 2 m_{2} + u}{6} .

…”

Section: Research Methodology: An Integrated Model Composed Of Hfahp mentioning

confidence: 99%

“…Using the defuzzified matrices to compute the consistency is a commonly used technique. 81,82 The crisp number μ e d that represents a trapezoidal fuzzy number, e d ¼ l; m 1 ; m 2 ; u ð Þ ; is estimated via the following equation:…”

Section: Hesitant Fuzzy Analytic Hierarchy Processmentioning

confidence: 99%

A novel multicriteria sustainability investigation of energy storage systems

2019

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Summary Affordable, clean, efficient, flexible, and reliable energy storage is an important component of sustainable energy systems. There are several studies in the literature concentrating on improving the sustainability performance of energy storage systems from economic and technical perspectives. However, a comprehensive performance investigation of energy storage systems that take economic, environmental, social, and technical criteria into account is still needed. For that reason, in the present study, it is aimed to perform a complete assessment and analysis of the sustainability of energy storage systems for residential applications in communities and cities. Pumped hydro, conventional batteries, high‐temperature batteries, flow batteries, and hydrogen are the selected energy storage systems. In order to handle the vagueness and ambiguity during the assessment and to eliminate the perceived hesitancy in the decision makers' preferences, an innovative method, a hybrid hesitant fuzzy multicriteria decision‐making (MCDM) methodology composed of hesitant fuzzy analytic hierarchy process (HFAHP) and hesitant fuzzy technique for order preference by similarity to ideal solution (HFTOPSIS), is utilized to assess the sustainability of the selected systems. In this study, four different performance criteria: economic (power cost and energy cost), environmental (pollutant emissions, area requirement, wastewater quality, and solid waste production), social (safety, accessibility, ease of use, and public acceptance), and technical (efficiency, storage capacity, cycling limit, and performance degradation) are taken into consideration. The performance evaluation results indicate that technical performance has the highest influence and social performance has the lowest influence when evaluating the sustainability of the selected energy storage systems. And hydrogen has the highest sustainability performance compared with the other selected energy storage options.

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“…Outputs include health services provided (e.g., number of surgeries performed). [33] Guided by our literature review on e ciency analysis, [13,[34][35][36][37][38][39] we included as many input and output variables as possible. Speci cally, length of stay, inpatient admissions, outpatient visits, emergency visits, annual family visits, revenues, number of surgeries and number of discharges from hospital.…”

Section: Study Variablesmentioning

confidence: 99%

Can Integrated Care Improve the Efficiency of Hospitals? - Research based on 200 Hospitals in China

Peng

Zhu

Wan

et al. 2020

Preprint

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Abstract Backgrounds: The shift towards integrated care (IC) represents a global trend towards more comprehensive and coordinated systems of care, particularly for vulnerable populations, such as the elderly. When health systems face fiscal constraints, integrated care has been advanced as a potential solution by simultaneously improving health service effectiveness and efficiency. This paper addresses the latter. There are three study objectives: first, to compare efficiency differences between IC and non-IC hospitals in China; second, to examine variations in efficiency among different types of IC hospitals; and finally, to explore whether the implementation of IC impacts hospital efficiency. Methods This study uses Data Envelopment Analysis (DEA) to calculate efficiency scores among a sample of 200 hospitals in H Province, China. Tobit regression analysis was performed to explore the influence of IC implementation on hospital efficiency scores after adjustment for potential confounding. Moreover, the association between various input and output variables and the implementation of IC was investigated using regression techniques. Results The study has four principal findings: first, IC hospitals, on average, are shown to be more efficient than non-IC hospitals after adjustment for covariates. Holding output constant, IC hospitals are shown to reduce their current input mix by 12% and 4% to achieve optimal efficiency under constant and variable returns-to-scale, respectively, while non-IC hospitals have to reduce their input mix by 26% and 20% to achieve the same level of efficiency; second, with respect to the efficiency of each type of IC, we show that higher efficiency scores are achieved by administrative and virtual IC models over a contractual IC model; third, we demonstrate that IC influences hospitals efficiency by impacting various input and output variables, such as length of stay, inpatient admissions, and staffing; fourth, while bed density per nurse was positively associated with hospital efficiency, the opposite was shown for bed density per physician. Conclusions Integrated Care has the potential to promote hospital efficiency by influencing an array of input and output variables. Policies designed to facilitate the implementation of IC in hospitals need to be cognizant of the complex way IC impacts hospital efficiency.

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Multi-expert performance evaluation of healthcare institutions using an integrated intuitionistic fuzzy AHP&DEA methodology

Cited by 152 publications

References 44 publications

Performance Comparisons of Law Offices and Optimum Allocation of Debt Files Using Z-Fuzzy AHP

Performance Comparisons of Law Offices and Optimum Allocation of Debt Files Using Z-Fuzzy AHP

A novel multicriteria sustainability investigation of energy storage systems

Can Integrated Care Improve the Efficiency of Hospitals? - Research based on 200 Hospitals in China

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