Hospital site selection with distance-based multi-criteria decision-making methods

Adalı, Esra Aytaç; Tuş, Ayşegül

doi:10.1080/20479700.2019.1674005

Cited by 60 publications

(42 citation statements)

References 58 publications

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“…The CRITIC approach (Diakoulaki et al 1995 ) is one of the weighting models to estimate the objective weights of the attributes using the standard deviation and the correlation coefficient to quantify the value of each attribute and computes the attribute weights of MCDM procedure. Recently, several fusion models have been introduced by applying CRITIC with various other MCDM methods (Yalcin and Unlu 2018 ; Adali and Tus 2019 ). For example, Ghorabaee et al ( 2017 ) discussed a hybrid model with CRITIC and WASPAS methods to solve the 3PRLPs with IT2FSs.…”

Section: Related Workmentioning

confidence: 99%

Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function

Mishra

Rani

Pandey

2021

J Ambient Intell Human Comput

136

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In today’s world, the demand for sustainable third-party reverse logistics providers (S3PRLPs) becomes an increasingly considerable issue for industries seeking improved customer service, cost reduction and sustainability perspectives. However, the assessment and selection of right S3PRLP is a complex uncertain decision-making problem due to involvement of numerous conflicting attributes, imprecise human mind and lack of information. Recently, Fermatean fuzzy set (FFS) has been recognized as one of the suitable tools to tackle the uncertain and inaccurate information. In this paper, we introduce a hybrid methodology based on CRITIC and EDAS methods with Fermatean fuzzy sets (FFSs) to solve the S3PRLP selection problem in which the attributes and decision makers’ weights are completely unknown. In this framework, CRITIC approach is applied to calculate the attribute weight and EDAS method is used to evaluate the priority order of S3PRLP options. To do this, a new improved generalized score function (IGSF) is developed with its elegant properties. Also, a formula is discussed to calculate the decision makers’ weights based on the developed IGSF. Next, developed framework is applied to assess a case study of S3PRLP selection problem with Fermatean fuzzy information, which elucidates the usefulness and practicality of the proposed method. Finally, comparative study is implemented to show the strength of introduced framework with extant approaches. The outcomes of the work confirm that the introduced approach is more feasible and well-consistent with the other extant approaches.

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Section: Related Workmentioning

confidence: 99%

Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function

Mishra

Rani

Pandey

2021

J Ambient Intell Human Comput

136

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“…Apart from GIS modeling, AHP is combined with other MCDM methods in hospital location selection. Among these methods, TOPSIS and its derivations are forefronts [2,[33][34][35][36][37][38][39]. e TOPSIS method was initially proposed by Yoon and Hwang [40] as an MCDM method.…”

Section: Country Of Origin For the Hospital Location Selectionmentioning

confidence: 99%

“…We made a classification as subjective, objective, studies using both, and nonapplicable ones. While 32 out of 47 studies dealt with the criteria subjectively, 6 of them use both subjective and objective criteria [25,29,33,50,62,67] and one of them use only objective criteria [37].…”

Section: Mcdm Environment Andmentioning

confidence: 99%

“…Almost half of the scholars mention a general term of "cost" in the context of factor conditions group [2, 3, 26, 33-35, 39, 44, 49, 50, 52, 54, 56, 62, 63, 65, 69, 74-76];İnce et al 2016. While this term is explained as a fundamental factor of cost of land, land topography, land ownership, and running/ maintenance cost in some reviewed papers [70,75], it is frequently described as a total factor of land and construction costs [26,33,69].…”

Section: Selection Criteria Used For Hospital Locationmentioning

confidence: 99%

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Hospital Location Selection: A Systematic Literature Review on Methodologies and Applications

Gül

Güneri

2021

Mathematical Problems in Engineering

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The increased focus of people on the quality of health care in recent years has led hospital owners to develop strategies and policies to improve medical services through the establishment of new hospitals. For hospitals to be competitive, the hospitalʼs location and proximity to potential patients are considered crucial factors in establishing new hospitals. In this context, evaluating and selecting the most suitable hospital location to establish a new hospital from the multicriteria decision-making (MCDM) perspective is a priority for the entrepreneurs or government to gain a competitive advantage. Therefore, this study aims to present a systematic literature review of the hospital location selection problem considering the applied methods and application areas. The preferred reporting items for systematic review and meta-analysis statement (PRISMA) are used as a reference framework. Initially, known electronic databases (Web of science, IEEEXplore, Scopus, Science direct, and Google Scholar) were searched up to the early 2021. A number of 47 articles are selected and analyzed under this systematic framework based on inclusion-exclusion points. State-of-the-art developments in adopting MCDM methods and their fuzzy extensions are summarized. All the articles have been examined in a systematic taxonomy to find answers to six research questions (trend, country of origin, outlet journal, MCDM methods used, MCDM environment and criteria type, and decision criteria used). Results show that (1) AHP and GIS-based MCDM models are the most contributing approaches to the solution of this problem, (2) location selection criteria are mostly cost, demand, environment, population, government, competition in the market, and distance to some important places, (3) the fuzzy structure is also preferred in addition to the MCDM structure depending on the crisp data type, and (4) the location selection criteria are mostly considered subjective. We pay attention to promising directions that can dominate future research in this field from a methodological or applicability perspective. This study shows the current views and opportunities for researchers and practitioners and acts as a guide to encourage more creative studies in this field.

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“…However, none of them pay attention to simultaneous comparison of these indices and combine them. [ 9 10 11 ]…”

Section: Introductionmentioning

confidence: 99%

Assessment of performance in teaching hospitals: Using multicriteria decision-making techniques

Jafari

Seyedjavadi

Zaboli

2020

J Edu Health Promot

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BACKGROUND: It is essential to evaluate the performance of hospitals in the health system. Hospitals need a performance evaluation system to develop and compete in order to measure the efficiency and effectiveness of their programs, processes, and human resources. This study aimed to evaluate the performance of teaching hospitals using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method and hierarchical analysis. MATERIALS AND METHODS: This was a cross-sectional and descriptive study conducted in 2019 in all teaching hospitals affiliated to Shahid Beheshti University of Medical Sciences. The required data were collected using a standard checklist. The collected data were analyzed using the analytic hierarchy process (AHP) and TOPSIS. In the first phase, annual indicators of hospital evaluation were collected. Following the AHP, key performance indicators (KPIs) were selected and prioritized in hospitals. RESULTS: The questionnaires were provided to 15 experts to weigh KPIs, and the most important indicators were selected. The results of hierarchical analysis showed that three main indicators in evaluating the performance of hospitals were bed turnover rate, emergency clients, and length of stay. CONCLUSIONS: One of the problems in evaluating hospitals is the use of key indicators that alone measure the quantity or quality of their performance. Multicriteria decision-making can be used to determine key indicators first, and then by combining these indicators into a multicriteria decision-making model, a better assessment of the role and performance of hospitals can be provided.

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Hospital site selection with distance-based multi-criteria decision-making methods

Cited by 60 publications

References 58 publications

Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function

Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function

Hospital Location Selection: A Systematic Literature Review on Methodologies and Applications

Assessment of performance in teaching hospitals: Using multicriteria decision-making techniques

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