A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry

Büyüközkan, Gülçin; Çifçi, Gizem

doi:10.1016/j.eswa.2011.08.061

Cited by 349 publications

(156 citation statements)

References 52 publications

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“…Entretanto, todos são originários de um único modelo clássico desenvolvido na Xerox e apresentado por Camp (1989 Percebe-se que o processo de benchmarking é cíclico e realimentado, e que é definido em função dos objetivos que as empresas desejam atingir, sintonizados aos desejos dos clientes, seja na melhoria contínua de processos ou nas características de seus produtos. Com base no Quadro 3, identificou-se que a técnica mais utilizada foi a DEA (7; 41,2%), (HABIBOV, 2010;CORTON, 2009;TAN, 2008;NAYAR, 2008;HAMDAN, 2008;LEONG, 2003;DONNELLY, 2000), seguida da AHP (3; 17,6%) (BÜYÜKÖZKAN, 2012;BÜYÜKÖZKAN, 2011;ANDRONIKIDIS, 2009 (GRUPP, 2004).…”

Section: O Processo De Benchmarkingunclassified

Benchmarking by Item Response Theory (BIRTH)

Pacheco

Andrade

Bornia

2015

Benchmarking: An International Journal

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Purpose – The purpose of this paper is to present a new method for benchmarking, which allows the construction of scales of competitiveness for the comparison of products using Item Response Theory (IRT). Design/methodology/approach – Theoretically, the method combines classic benchmarking process steps with IRT steps and demonstrates through mathematical models how this technique can measure the competitiveness of products by means of a latent trait. Findings – The IRT method uses the theories of psychometrics to measure the competitiveness of products through qualitative and quantitative interpretation of the tangible and intangible characteristics of those products. To demonstrate the application of the developed method, the items were constructed for teaching staff. Research limitations/implications – The application of the developed method will increase the accuracy of assessments of the competitiveness of a product because this method uses a mathematical model of the IRT to evaluate the characteristics product that reflect market competitiveness. Items must be selected based on theories relevant to the product and/or expert opinion or customers. Practical implications – The applicability of the method results in the construction of a scale in which items identify good practice with greater difficulty because they are represented in the same units that index competitiveness. Thus, managers of companies obtain knowledge about their products and the market, which allows them to assess their performance against their competitors and to make decisions regarding the continuous improvement of their production process and expansion of product characteristics. Originality/value – This work presents a new method for benchmarking using a quantitative technique that enables measurement of the latent trait of “competitiveness” through robust mathematical models.

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Section: O Processo De Benchmarkingunclassified

Benchmarking by Item Response Theory (BIRTH)

Pacheco

Andrade

Bornia

2015

Benchmarking: An International Journal

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“…A fuzzy set represents a class of objects with a continuum of grades of membership ranging between zero and one L.A. Zadeh [18]. If the value assigned is one, then the element belongs completely to the set and if the assigned value is zero, the element does not belong to the set G. Buyukozkan, A.G. Ciftci [19]. Finally, the value between 0 and 1 belongs to the fuzzy set only partially.…”

Section: Methodsmentioning

confidence: 99%

A fuzzy quality function deployment approach to improve a component of a supervisory control and data acquisition system

2017

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Abstract-Monitoring and control of electric transformer stations, frequently spread out over small or large geographical areas, are achieved with supervisory control and data acquisition (SCADA). Quality function deployment (QFD) is a valuable analyzing tool in product design and development. To solve the uncertainty or inherent imprecision in QFD, many researchers have applied the fuzzy set theory to QFD and have developed various fuzzy QFD approaches. The literature regarding applying fuzzy QFD for analyzing subsystems of SCADA, to the best of our knowledge, remains inexistent. In this paper, a fuzzy QFD approach is used to effectively determine the design requirements of a SCADA component.

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“…If the assigned value is zero, the element does not belong to the set and if the value assigned is one, the element belongs completely to the set [20]. Lastly, if the value lies within the above mentioned interval, the element belongs partially to the fuzzy set.…”

Section: Fuzzy Sets and Fuzzy Numbersmentioning

confidence: 99%

A Ship Officer Performance Evaluation Model Using Fuzzy-AHP

Keçeci¹,

Bayraktar²,

Arslan³

2015

JSOE

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A ship's crew plays an important role in the maritime transportation sector and their performance is paramont in the shipping industry. On this account, an impartial evaluation of the crew's performance is an important issue. In this paper, the ship officer's performance evaluation problem is studied. The performance evaluation criteria that shipping companies take into account are determined and a performance evaluation process is modelled by using the FAHP (Fuzzy Analytic Hierarchy Process) based on Chang's Algorithm. Linguistic variables and fuzzy numbers are used in the assessment process. The results of the proposed model demonstrate that the FAHP method is effective and helps managers make better and more reliable decisions under fuzzy circumstances.

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A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry

Cited by 349 publications

References 52 publications

Benchmarking by Item Response Theory (BIRTH)

Benchmarking by Item Response Theory (BIRTH)

A fuzzy quality function deployment approach to improve a component of a supervisory control and data acquisition system

A Ship Officer Performance Evaluation Model Using Fuzzy-AHP

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