An Integrated AHP &amp; DEA Methodology with Neutrosophic Sets

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

doi:10.1007/978-3-030-00045-5_24

Cited by 14 publications

(8 citation statements)

References 39 publications

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“…In the DEA literature, there are some models of DEA with neutrosophic information, see [61][62][63][64][65][66][67]…”

Section: Proposed Modelmentioning

confidence: 99%

“…As far as we know, there are few studies concerning DEA with neutrosophic information. e utilization of neutrosophic set in DEA can be traced to Edalatpanah [61] and additional investigations have been accessible in [62][63][64][65][66][67]. However, these neutrosophic DEA methods are formulated solely for desirable outputs and cannot eliminate the influence of undesirable factors on the efficiency evaluation.…”

Section: Introductionmentioning

confidence: 99%

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A Neutrosophic-Based Approach in Data Envelopment Analysis with Undesirable Outputs

Mao

Guo

Fallah

et al. 2020

Mathematical Problems in Engineering

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Data Envelopment Analysis is one of the paramount mathematical methods to compute the general performance of organizations, which utilizes similar sources to produce similar outputs. Original DEA schemes involve crisp information of inputs and outputs that may not always be accessible in real-world applications. Nevertheless, in some cases, the values of the data are information with indeterminacy, impreciseness, vagueness, inconsistent, and incompleteness. Furthermore, the conventional DEA models have been originally formulated solely for desirable outputs. However, undesirable outputs may additionally be present in the manufacturing system, which wishes to be minimized. To tackle the mentioned issues and in order to obtain a reliable measurement that keeps original advantage of DEA and considers the influence of undesirable factors under the indeterminate environments, this paper presents a neutrosophic DEA model with undesirable outputs. The recommended technique is based on the aggregation operator and has a simple construction. Finally, an example is given to illustrate the new model and ranking approach in details.

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“…In the DEA literature, there are some models of DEA with neutrosophic information, see [61][62][63][64][65][66][67]…”

Section: Proposed Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Neutrosophic-Based Approach in Data Envelopment Analysis with Undesirable Outputs

Mao

Guo

Fallah

et al. 2020

Mathematical Problems in Engineering

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“…Servicization studies implementing AHP discuss construction servicization (Chen et al, 2020), design requirements for plumbing services (Jadhav et al, 2020), prioritization of product-service business model elements at aerospace industry (Salomon et al, 2019), and cloud manufacturing (Cao et al, 2016). Moreover, there are Neutrosophic AHP papers addressing system selection (Radwan et al, 2016;Bilandi et al, 2020), AHP-SWOT analysis for strategic planning and decision-making (Abdel-Basset et al, 2018), AHP and TOPSIS framework (Junaid et al, 2020), AHP and DEA methodology (Kahraman et al, 2019), and performance analysis (Kahraman et al, 2020). However, the new mobile application driven pay-as-you-go model of servicization research is missing in the literature.…”

Section: Literature Reviewmentioning

confidence: 99%

“…There are different proposed scales for the neutrosophic linguistic variable such as Radwan et al (2016) and Kahraman et al (2019). However, there is also a fair criticism for these scales due to the defined structure of them.…”

Section: Procedures In Gathering and Aggregating The Individual Evaluationsmentioning

confidence: 99%

Neutrosophic Analytic Hierarchy Process for Evaluating a New Servicizing Business Model of Transportation

Karadayi-Usta¹

2020

Proceedings of the International Symposium on the Analytic Hierarchy Process

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The new normal of the world has been shaped by the COVID-19 pandemics. It has made compulsory to avoid public transportation and to provide individual transportation in order to prevent the spread of the disease. Due to the high financial burden of purchasing a car, new business models have been developed in order to make possible of utilizing vehicles to meet the transportation needs in pay-per-use base. The concept called "servicizing business model" or "servicization" is based on presenting a product as a service, and selling the functionality of that product instead of the product itself. In order to meet the increasing demand for individual vehicle use, the existing car rental service providers have provided a new mobile application controlled business model which makes the rental process easier, by determining the location of the available vehicle via the applications, opening the vehicle without a key by GPS signals through the application, and making the payment from the previously defined credit card according to the duration of driving. The aim of this study is to evaluate the customers' preferences of purchasing, renting through an agency, or mobile application supported new pay-as-you-go business model use, in order to determine which criterion is prominent in the decision-making process, and to identify the weights of these criteria. Due to the uncertain and indeterminate attitudes of the customers in decision making, the data were collected as neutrosophic data sets and analyzed with a novel neutrosophic Analytic Hierarchy Process (nAHP) approach. The study provides implications both theoretically and practically in terms of revealing new servicization possibilities and analyzing real user judgments.

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“…The utilisation of neutrosophic logic in DEA can be traced to Edalatpanah [60]. Kahraman et al [61] presented a hybrid algorithm based on neutrosophic AHP and DEA for bringing a solution to the efficiency of private universities. Edalatpanah and Smarandache [62], based on some operators and natural logarithm, proposed an input‐oriented DEA model with simplified neutrosophic numbers.…”

Section: Introductionmentioning

confidence: 99%

Data envelopment analysis based on triangular neutrosophic numbers

Edalatpanah

2020

CAAI trans. intell. technol.

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Data envelopment analysis (DEA) is one of the best mathematical techniques to compute the overall performance of units with some inputs and outputs. The original DEA methods are developed to tackle the information based on the crisp number but no ability to handle the indeterminacy, impreciseness, vagueness, inconsistent, and incompleteness information such as triangular neutrosophic numbers (TNNs). This study attempts to establish a new model of DEA, where the information on decision-making units is TNNs. Initially, the concept and features of a conventional DEA model and the comparative TNNs are discussed. Besides, some new ranking functions of TNNs are presented. Furthermore, based on the mentioned ranking functions, an algorithm for solving the new model has been established. A comparison of the new model with an existing method and other kinds of uncertainty tools has been provided. In comparison with the existing methods, the significant characteristic of the new model is that it can handle the triangular neutrosophic information simply and effectively. Finally, the implementation of this strategy for an example has been applied for various models of DEA.

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An Integrated AHP & DEA Methodology with Neutrosophic Sets

Cited by 14 publications

References 39 publications

A Neutrosophic-Based Approach in Data Envelopment Analysis with Undesirable Outputs

A Neutrosophic-Based Approach in Data Envelopment Analysis with Undesirable Outputs

Neutrosophic Analytic Hierarchy Process for Evaluating a New Servicizing Business Model of Transportation

Data envelopment analysis based on triangular neutrosophic numbers

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