scholarly journals Application of the Fuzzy Optimal Model in the Selection of the Startup Hub

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xinman Zhu ◽  
Jie Dai ◽  
Haoran Wei ◽  
Debing Yang ◽  
Weilun Huang ◽  
...  
Keyword(s):  
Decision Making ◽  
Value Chain ◽  
Nominal Group Technique ◽  
Nominal Group ◽  
Order Preference ◽  
The Difference ◽  
Topsis Approach ◽  
Textile Factory ◽  
Hierarchy Process

This paper integrates nominal group technique (NGT), analytical hierarchy process (AHP), and fuzzy technique for order preference by similarity to an ideal solution (TOPSIS) approach, and a case study has been used to demonstrate the fuzzy optimal selection model. From a literature review on the startup hub and the interviews conducted with officials and experts, the selection criteria are (1) convenience—promoted by the city’s entrepreneurial policies or its traffic infrastructure; (2) potentiality—promoted by a regional network or value chain of startups. Lastly, the best idle land resulted in this case study with equal decision-making power using the fuzzy method is Taipei Jianguo Brewery, and the difference of decision-making power might make the best idle land to be Wanbao Textile Factory.

scholarly journals A Decision-Making Algorithm for Rearchitecting of Healthcare Facilities to Minimize Nosocomial Infections Risks

2020 ◽  
Vol 17 (3) ◽  
pp. 855
Author(s):  
Yasaman Parsia ◽  
Shahryar Sorooshian
Keyword(s):  
Decision Making ◽  
High Risk ◽  
Nosocomial Infections ◽  
Financial Burden ◽  
Multiple Criteria Decision Making ◽  
Nominal Group Technique ◽  
Nominal Group ◽  
Healthcare Facilities ◽  
Weighted Sum Method

Most of the healthcare facilities (HFs) have to face the nosocomial infections (NIs), which increase the rates of morbidity, mortality, and financial burden on the HFs and the patients. The control of the NIs is a global issue and requires additional effort. Because the pathogenic microbes can be transmitted among all the HF departments, the layout and design of the HFs (or the department configuration) is considered to play a significant role in control of the NIs. A few of the departments transmit the microbes more than other departments, called ‘cause’, while some other departments are more infected than others, called ‘effect’. Here, the researchers have stated that both the cause and effect departments are risky. This research tried to propose a comprehensive mathematical algorithm for choosing the high-risk department(s) by applying the NI and the managerial criteria to minimize NIs through rearchitecting of the HFs. To develop the algorithm, the researchers applied the multiple criteria decision-making (MCDM) methods. They used Decision-Making Trial and Evaluation Laboratory (DEMATEL) and modified weighted sum method (WSM) methods, and their hybrid, along with a modified nominal group technique (NGT) for data collection. The proposed algorithm was later validated by implementation in a HF as a case study. Based on all results of the algorithm, the high-risk departments in the HF were identified and proposed to be eliminated from the HF in such a way that the facility would retain its functionality. The algorithm was seen to be valid, and the feasibility of the algorithm was approved by the top managers of the HF after the algorithm was implemented in the case study. In conclusion, the proposed algorithm was seen to be an effective solution for minimizing the NIs risk in every HF by eliminating the high-risk departments, which could simplify the HF manager’s decisions.

scholarly journals Applying the TOPSIS Approach for Selecting the Best Small Project

2020 ◽  
Vol 7 (2) ◽  
pp. 19-23
Author(s):  
Sawsan Sabeeh Al-Zubaidy ◽  
Esraa Ibrahiem Al-Bayati
Keyword(s):  
Decision Making ◽  
Group Decision ◽  
Decision Makers ◽  
Mathematical Form ◽  
Ideal Solution ◽  
Multiple Decision Makers ◽  
Order Preference ◽  
Small Project ◽  
Topsis Approach

Abstract: Projects selection is a significant problem. However, regularly challenging task. It is difficult because there is typically more than one measurement of the effects on all projects, particularly when there are multiple decision-makers. In this paper, the authors consider a tangible presentation of projects choosing for a different number of projects through an experts opinions by a group decision-making method called TZOPSEIS (Technique for Order Preference by Similarity to an Ideal Solution). This method is characterized by its ability to measure the relative performance for each alternative in a simple mathematical form. Four criteria have been deliberated to select the finest one among five projects and rank them. The proposed manner is used in a case study in the Iraqi environment which is analyzed from diverse directions of vision to evaluate and select the best small project.

scholarly journals Аn example of different AHP structuring in a forest management problem

2016 ◽  
pp. 127-137
Author(s):  
Milena Lakicevic ◽  
Bojan Srdjevic ◽  
Ivaylo Velichkov ◽  
Zorica Srdjevic
Keyword(s):  
Decision Making ◽  
Forest Management ◽  
Analytic Hierarchy Process ◽  
Evaluation Procedure ◽  
Decision Making Process ◽  
Management Problem ◽  
Consistency Check ◽  
Analytic Hierarchy ◽  
Hierarchy Process

The paper investigates how different hierarchy structuring in analytic hierarchy process (AHP) may affect the final results in the decision-making process. This problem is analyzed in a case study of the Rila monastery forest stands in Bulgaria. There were three similar and mutually overlapped hierarchies defined. A decision maker evaluated all of them and after analyzing final results and consistency performance, he selected and revised the most appropriate hierarchy structure. Consistency check assisted in detecting the judgments which have strongly violated evaluation procedure. These mistakes are interpreted as a consequence of a large number of required pair-wise comparisons. The paper emphases the importance of properly defining hierarchy structure and recommends using consistency analysis as a guide and not as a directive for the revision of judgments.

scholarly journals Effectiveness Evaluation of “Five Chain” Integration of State Grid Corporation of China Based on TOPSIS Method

2021 ◽  
Vol 236 ◽  
pp. 04016
Author(s):  
Tang Guangrui ◽  
Zhang Yong ◽  
Chang Yan
Keyword(s):  
Value Chain ◽  
Capital Investment ◽  
Technological Progress ◽  
Power Grid ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Strategic Objectives ◽  
Order Preference ◽  
Relationship Of ◽  
Hierarchy Process

Under the guidance of the new strategic objectives of the power grid company, it is necessary to inject innovative vitality into personnel training, capital investment, and technological progress in order to achieve the goal of increasing the value of power grid companies. This paper analyzes the coupling relationship of “innovation chain, talent chain, technology chain, capital chain and value chain”, and establishes the evaluation index system of “five chain” integration effectiveness. Then, the traditional Analytic Hierarchy Process (AHP) is improved, and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model is constructed. Finally, three provincial power grid companies are selected for example analysis, and the innovation effectiveness ranking of each company is obtained, which verifies the effectiveness of the model proposed in this paper.

EP.TH.602Exploring decision-making of healthcare professionals in patients with benign large non-pedunculated colonic polyps (BLNPCP) virtually using combined focus group and nominal group technique

2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
L Wheldon ◽  
J Morgan ◽  
MJ Lee ◽  
S Riley ◽  
SR Brown ◽  
...  
Keyword(s):  
Decision Making ◽  
Healthcare Professional ◽  
Patient Preference ◽  
Healthcare Professionals ◽  
Nominal Group Technique ◽  
Colonic Polyps ◽  
Nominal Group ◽  
Shared Decision ◽  
Patient Factors ◽  
Group Technique

Abstract Aim We aimed to elicit key factors that influence healthcare professional decision-making when deciding treatment for BLNPCP. Background Benign large non-pedunculated colonic polyps (BLNPCP) may harbour covert malignancy and opinions differ about the optimal treatment modality. There are several options available, including endoscopic mucosal resection, endoscopic submucosal resection, combined endoscopic laparoscopic surgery and surgical resection. Despite widespread availability of endoscopic resection techniques, there are high rates of surgery in the UK. Methods Three focus groups of healthcare professionals, comprised of either consultant colorectal surgeons, nurse endoscopists and consultant gastroenterologists, were conducted virtually utilising the Nominal Group Technique. Meetings were recorded and transcribed verbatim. Themes were devolved using the framework approach for qualitative analysis. A priority-ranked list of factors influencing healthcare professional decision-making in this setting was generated. Results Five main themes were identified as influencing decision-making: Shared decision making (patient preference, informed consent); Patient factors (co-morbidity, age, life-expectancy); Polyp factors (Location, size, morphology, risk of cancer); Healthcare professionals (skill-set, personal preference); System factors (techniques availability locally, regional referral networks). Nominal Group Technique generated 55 items across the three focus groups. Nurses and gastroentologists ranked patient factors (particularly drug history and tolerance of procedure) and shared decision making (patient preference) more highly then surgeons. Surgeons placed greater emphasis on polyp factors particularly location and the risk of submucosal invasive carcinoma. Conclusion Decision making is complex and multifactorial. These results support the benefits of complex polyp MDTs and patient involvement in the decision-making. The complexity of decision-making may underpin wide variation in practice.

Fuzzy Analytic Hierarchy Process and Its Application to E-Marketplace Selection

2013 ◽  
pp. 26-44 ◽  
Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multi Criteria Decision Making ◽  
Linguistic Variables ◽  
Analytic Hierarchy ◽  
Multi Attribute Decision Making ◽  
Electronic Parts ◽  
Hierarchy Process

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.

scholarly journals Multi-Criteria Decision Method for Sustainable Watercourse Management in Urban Areas

2020 ◽  
Vol 12 (16) ◽  
pp. 6493 ◽  
Author(s):  
Priscila Celebrini de Oliveira Campos ◽  
Tainá da Silva Rocha Paz ◽  
Letícia Lenz ◽  
Yangzi Qiu ◽  
Camila Nascimento Alves ◽  
...  
Keyword(s):  
Decision Making ◽  
Urban Areas ◽  
Low Impact Development ◽  
Drainage System ◽  
Well Being ◽  
Social Nature ◽  
Order Preference ◽  
Urban Watercourse ◽  
Sustainable Investments

The rapid urban growth followed by disordered occupation has been generating significant impacts on cities, bringing losses of an economic and social nature that directly interfere with the well-being of the population. In this work, a proposal for local urban infrastructure problems associated with watercourse management is presented, comparing Sustainable Drainage System (SuDS) techniques and Low-Impact Development (LID) concepts with alternative traditional interventions. The study addresses sustainable alternatives to cope with the urbanization of the Cehab’s open channel, which is an important urban watercourse tributary of the Muriaé River, at the municipality of Itaperuna, Rio de Janeiro—Brazil. The multi-criteria decision-making method called Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was applied here. The results highlighted the better performance of sustainable techniques when compared to the traditional ones, with an overall advantage of the geogrids and geocells for this case study. The obtained TOPSIS coefficients-C for these techniques were higher (0.59488, for Reach 1; and 0.68656, for Reach 2) than those for the others. This research, therefore, presented an important urban watercourse management methodology that can be further applied to guide sustainable investments and help the decision-making associated with the development of territories.

scholarly journals Community Priority Index: utility, applicability and validation for priority setting in community-based participatory research

2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Hamisu M. Salihu ◽  
Abraham A. Salinas-Miranda ◽  
Wei Wang ◽  
DeAnne Turner ◽  
Estrellita Lo Berry ◽  
...  
Keyword(s):  
Decision Making ◽  
Participatory Research ◽  
Priority Setting ◽  
Nominal Group Technique ◽  
Community Based Participatory Research ◽  
Self Esteem ◽  
Nominal Group ◽  
Community Settings ◽  
Community Based ◽  
Priority Index

<em>Background</em>. Providing practitioners with an intuitive measure for priority setting that can be combined with diverse data collection methods is a necessary step to foster accountability of the decision-making process in community settings. Yet, there is a lack of easy-to-use, but methodologically robust measures, that can be feasibly implemented for reliable decision-making in community settings. To address this important gap in community based participatory research (CBPR), the purpose of this study was to demonstrate the utility, applicability, and validation of a community priority index in a community-based participatory research setting. <br /><em>Design and Methods</em>. Mixed-method study that combined focus groups findings, nominal group technique with six key informants, and the generation of a Community Priority Index (CPI) that integrated community importance, changeability, and target populations. Bootstrapping and simulation were performed for validation. <br /><em>Results</em>. For pregnant mothers, the top three highly important and highly changeable priorities were: stress (CPI=0.85; 95%CI: 0.70, 1.00), lack of affection (CPI=0.87; 95%CI: 0.69, 1.00), and nutritional issues (CPI=0.78; 95%CI: 0.48, 1.00). For non-pregnant women, top priorities were: low health literacy (CPI=0.87; 95%CI: 0.69, 1.00), low educational attainment (CPI=0.78; 95%CI: 0.48, 1.00), and lack of self-esteem (CPI=0.72; 95%CI: 0.44, 1.00). For children and adolescents, the top three priorities were: obesity (CPI=0.88; 95%CI: 0.69, 1.00), low self-esteem (CPI=0.81; 95%CI: 0.69, 0.94), and negative attitudes toward education (CPI=0.75; 95%CI: 0.50, 0.94). <br /><em>Conclusions</em>. This study demonstrates the applicability of the CPI as a simple and intuitive measure for priority setting in CBPR.

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