scholarly journals Fuzzy TOPSIS Model for Assessment of Environmental Sustainability: A Case Study with Patient Judgements

Mathematics ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 1985
Author(s):  
María Carmen Carnero
Keyword(s):  
Health Care ◽  
Continuous Improvement ◽  
Patient Group ◽  
Environmental Sustainability ◽  
Fuzzy Topsis ◽  
Hospital Environment ◽  
Ideal Situation ◽  
Order Preference ◽  
Patient Groups ◽  
Corporate Social

Health care organisations have broadened their commitment to corporate social responsibility, since, as well as providing health care to patients, their activities negatively affect world pollution. This is a result of the products and technologies they use, the resources they consume, the waste they produce, and the buildings they occupy and operate. This, in turn, affects the health of the community. For this reason, a growing number of health care organisations have become involved in improvements to environmental sustainability, in order to promote public health. These improvements need to be controlled by a system whose effects can be assessed within a process of continuous improvement. This research, therefore, sets out a model constructed by extension to a fuzzy environment of the technique for order preference by similarity to ideal situation (TOPSIS), to assess the environmental responsibility of health care organizations. The weights were obtained from judgements given by both an expert in environmental matters, and a group of patients, and the judgements of both types of stakeholder were combined. The model has been applied in a Spanish public hospital over a period of five years. The closeness coefficients obtained with the judgements from the patient group are on average 6.59% higher than those obtained from the expert, and so it can be said that patients are less demanding on environmental matters. The similarity of the models was assessed, by comparing the model that combines both sets of judgements with the model constructed from the judgements of the expert and the model built from the judgements of the patient groups. The similarity is seen to be high, but it is greater in the case of the ranking obtained from the patient judgements. The results in all cases suggest a low risk of a serious environmental problem in the hospital. Nonetheless, it also implies that there are opportunities for continuous improvement. The use of a model with judgements from a patient group was intended to take into account the increasingly important need to include the judgements and opinions of different stakeholders in decision and assessment processes in the hospital environment.

Model for Assessment of Environmental Responsibility in Health Care Organizations

2018 ◽  
pp. 3131-3143 ◽  
Author(s):  
María Carmen Carnero
Keyword(s):  
Health Care ◽  
Environmental Sustainability ◽  
Health Care Organizations ◽  
Health Care Organization ◽  
Environmental Responsibility ◽  
Care Organization ◽  
Sustainable Business ◽  
Waste Production ◽  
Order Preference ◽  
Multicriteria Assessment

Sustainability is considered a paradigm for businesses in the 21st Century. Despite this, the existing tools for helping to introduce strategies and manage activities to promote sustainable business are few. These deficiencies become more important in Health Care Organizations owing to its particular conditions of resource consumption and waste production. It is, therefore, essential to have objective tools to assist in monitoring environmental sustainability in this type of organization. This Chapter therefore sets out a multicriteria assessment system constructed by extension to a fuzzy environment of the Technique for Order Preference by Similarity to Ideal Situation (TOPSIS), to assess the environmental responsibility of a Health Care Organization. This model allows joint evaluation of a significant number of decision criteria. The aim is to provide a hospital with a model which is easy to apply, with criteria specific to health care, and which allows its responsibility with regard to the environment to be monitored over time. The model has been used in a Public Hospital.

Evaluating hotel websites through the use of fuzzy AHP and fuzzy TOPSIS

2020 ◽  
Vol 13 (12) ◽  
pp. 3747-3765
Author(s):  
Rahmi Baki
Keyword(s):  
Information Quality ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Step Method ◽  
Analytic Hierarchy ◽  
Website Evaluation ◽  
Content Type ◽  
Ideal Situation ◽  
Order Preference ◽  
Hotel Websites

Purpose The purpose of this study is to develop a useful, effective and comprehensive approach to facilitate the evaluation of hotel websites. Design/methodology/approach The paper examines the literature evaluating e-commerce sites, particularly that is focused on hotel, tourism and travel. Moreover, 5 criteria and 19 sub-criteria are identified, and a two-step method is proposed for the assessment of hotel websites whereby the global weights of the proposed criteria are determined by the fuzzy analytic hierarchy process, and hotel websites are ranked through the fuzzy technique for order preference by similarity to ideal situation. Findings The results show that the leading criteria to effectively evaluate hotel websites are trust and information quality and that the most important sub-criteria are special discounts, assurance and reservation information. Practical implications This research offers practical advice to increase understanding of the determinants of an effective hotel website so that appropriate strategies can be developed to convert a website visitor into a customer. Originality/value The study aims to contribute to businesses operating in the tourism sector which seeks to increase the effectiveness of their websites by identifying criteria and proposing a methodology for hotel website evaluation.

Linking Environmental Sustainability, Health, and Safety Data in Health Care

2017 ◽  
Vol 27 (2) ◽  
pp. 189-209 ◽  
Author(s):  
Susan B. Kaplan ◽  
Linda Forst
Keyword(s):  
Health Care ◽  
Environmental Sustainability ◽  
Safety Data ◽  
Work Productivity ◽  
Health And Safety ◽  
Health Care Sector ◽  
Hospital Environment ◽  
Care Staff ◽  
Future Research ◽  
Patient Health

Limited but growing evidence demonstrates that environmental sustainability in the health-care sector can improve worker and patient health and safety. Yet these connections are not appreciated or understood by decision makers in health-care organizations or oversight agencies. Several studies demonstrate improvements in quality of care, staff satisfaction, and work productivity related to environmental improvements in the health-care sector. A pilot study conducted by the authors found that already-collected data could be used to evaluate impacts of environmental sustainability initiatives on worker and patient health and safety, yet few hospitals do so. Future research should include a policy analysis of laws that could drive efforts to integrate these areas, elucidation of organizational models that promote sharing of environmental and health and safety data, and development of tools and methods to enable systematic linkage and evaluation of these data to expand the evidence base and improve the hospital environment.

Model for Assessment of Environmental Responsibility in Health Care Organizations

2019 ◽  
pp. 220-235
Author(s):  
María Carmen Carnero
Keyword(s):  
Environmental Sustainability ◽  
Assessment System ◽  
Environmental Responsibility ◽  
Healthcare Organizations ◽  
Sustainable Business ◽  
Fuzzy Environment ◽  
Waste Production ◽  
Ideal Situation ◽  
Order Preference ◽  
Multicriteria Assessment

Sustainability is considered a paradigm for businesses in the 21st century. Despite this, the existing tools for helping to introduce strategies and manage activities to promote sustainable business are few. These deficiencies become more important in healthcare organizations owing to their particular conditions of resource consumption and waste production. It is, therefore, essential to have objective tools to assist in monitoring environmental sustainability in this type of organization. This chapter therefore sets out a multicriteria assessment system constructed by extension to a fuzzy environment of the technique for order preference by similarity to ideal situation (TOPSIS) to assess the environmental responsibility of a healthcare organization. This model allows joint evaluation of a significant number of decision criteria. The aim is to provide a hospital with a model that is easy to apply, with criteria specific to healthcare, and that allows its responsibility with regard to the environment to be monitored over time. The model has been used in a public hospital.

Application of Fuzzy TOPSIS Model for Container Port Selection Considering Environmental Factors

2019 ◽  
Vol 161 (A3) ◽  
Keyword(s):  
Cost Efficiency ◽  
Fuzzy Topsis ◽  
Container Port ◽  
Container Transportation ◽  
Ideal Situation ◽  
Port Selection ◽  
Order Preference ◽  
Container Ports ◽  
The City ◽  
Inner Parts

Container ships are the type of ships that produce the most emissions in maritime transport. In container transportation not only in navigation but also at container ports, a lot of emissions are formed. Ports are generally close by and highly interacted with the inner parts of the city, the impacts of the gas emissions are quite high on people. The study investigated port selection criteria, in terms of cost, efficiency and especially in terms of environmental impacts in order to create awareness. Container port selection problem was solved using fuzzy TOPSIS (The Technique for Order Preference by Similarity to Ideal Situation) method considering the perspective of carriers. In the study, the container port selection was carried out among the four largest container ports in Turkey.

scholarly journals A Use of Fuzzy TOPSIS to Improve the Network Selection in Wireless Multiaccess Environments

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Mouad Mansouri ◽  
Cherkaoui Leghris
Keyword(s):  
Fuzzy Topsis ◽  
Analytic Network Process ◽  
Vertical Handover ◽  
Network Selection ◽  
Mobile Terminals ◽  
Access Technology ◽  
Ideal Situation ◽  
Network Process ◽  
Selection Step ◽  
Order Preference

Constantly faster, mobile terminals are developing, as well as wireless networks, to satisfy the growth of “Always Best Connected” demand. Users nowadays want to access the best available wireless network, either from 3GPP or IEEE group technologies, wherever they are, without losing their sessions. Consequently, mobile terminals must seamlessly transfer the communications to another access technology (vertical handover) if needed, as they often move into heterogeneous wireless environments. This work aims to optimize the network selection step in the vertical handover process. Multiattribute Decision-Making methods naturally fit this context. Nevertheless, they make wrong handover decisions sometimes, due to imprecise data collected from the metrics. This manuscript presents the use of a hybrid method, combining the fuzzy technique for order preference by similarity to the ideal situation and fuzzy analytic network process, in the network selection, to improve the quality of service and avoid, as much as possible, unnecessary handovers. The results demonstrate that this combination is the best, compared to the other methods of the same type in the network selection context.

scholarly journals Assessing the Health Vulnerability Caused by Climate and Air Pollution in Korea Using the Fuzzy TOPSIS

2019 ◽  
Vol 11 (10) ◽  
pp. 2894 ◽  
Author(s):  
Hyun-Joo Bae ◽  
Jung Eun Kang ◽  
Yu-Ra Lim
Keyword(s):  
Climate Change ◽  
Air Pollution ◽  
Health Effects ◽  
Urban Areas ◽  
Fuzzy Topsis ◽  
Air Pollution Control ◽  
Ideal Situation ◽  
Vulnerability Indicators ◽  
Order Preference ◽  
High Degree

The effects of climate change and air pollution on health have become major topics of discussion and conducting an assessment on the vulnerabilities of climate change is essential to providing a solution for it. This study assesses human vulnerability to the health effects of climate change and ozone. We classified 27 detailed vulnerability indicators into eight categories and assessed the vulnerability of 249 jurisdictions in South Korea by applying the Fuzzy Technique for Order Preference by Similarity to Ideal Situation method. The results indicated that metropolitan and major urban areas were more vulnerable than other areas. Furthermore, factors such as air pollution, meteorological conditions, a vulnerable environment, the distribution of disease, health/medical capacities, and air pollution control had a significant impact on vulnerability. A validity analysis was on the vulnerability assessment results and the number of new patients diagnosed with diseases associated with the cardiovascular system; the results indicated a 66.9% correlation, signifying a considerably high validity. The proposed method for assessing vulnerabilities in terms of the health effects of air pollution is objective and based on data; thus, it is expected to present a high degree of applicability. The results can also be a critical foundation upon which to establish health policies.

APPLICATION OF FUZZY TOPSIS MODEL FOR CONTAINER PORT SELECTION CONSIDERING ENVIRONMENTAL FACTORS

2021 ◽  
Vol 161 (A3) ◽  
Author(s):  
A Ergin ◽  
I Eker
Keyword(s):  
Cost Efficiency ◽  
Fuzzy Topsis ◽  
Container Port ◽  
Container Transportation ◽  
Ideal Situation ◽  
Port Selection ◽  
Order Preference ◽  
Container Ports ◽  
The City ◽  
Inner Parts

Container ships are the type of ships that produce the most emissions in maritime transport. In container transportation not only in navigation but also at container ports, a lot of emissions are formed. Ports are generally close by and highly interacted with the inner parts of the city, the impacts of the gas emissions are quite high on people. The study investigated port selection criteria, in terms of cost, efficiency and especially in terms of environmental impacts in order to create awareness. Container port selection problem was solved using fuzzy TOPSIS (The Technique for Order Preference by Similarity to Ideal Situation) method considering the perspective of carriers. In the study, the container port selection was carried out among the four largest container ports in Turkey.

Aging and Autism

2012 ◽  
Vol 17 (2) ◽  
pp. 69-75 ◽  
Author(s):  
Pamela A. Smith
Keyword(s):  
Health Care ◽  
Autism Spectrum Disorders ◽  
Patient Group ◽  
Older Patients ◽  
Geriatric Patients ◽  
Recent Literature ◽  
Communication Disorders ◽  
Autism Spectrum ◽  
Need For Support ◽  
Spectrum Disorders

In this article, I will review the available recent literature about the aging population with autism, a patient group that researchers know little about and a group that is experiencing a growing need for support from communication disorders professionals. Speech-language pathologists working with geriatric patients should become familiar with this issue, as the numbers of older patients with autism spectrum disorders is likely to increase. Our profession and our health care system must prepare to meet the challenge these patients and residents will present as they age.

Sign in / Sign up

Export Citation Format

Share Document