scholarly journals An Efficient Ensemble VTOPES Multi-Criteria Decision-Making Model for Sustainable Sugarcane Farms

2019 ◽  
Vol 11 (16) ◽  
pp. 4288 ◽  
Author(s):  
N Deepa ◽  
Durai Raj Vincent P M ◽  
Senthil Kumar N ◽  
Kathiravan Srinivasan ◽  
Chuan-Yu Chang ◽  
...  

The role of Information Technology based decision models for sustainable agriculture has gained immense prominence in recent years. Ranking of agriculture farms based on their yield plays a vital role in sustainable agriculture. In this work, an ensemble decision-making model, namely VIKOR (Vlsekriterijumska Optimizacija I Kompromisno Resenje), TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution), entropy, and standard deviation (VTOPES), is proposed for ranking the sustainable sugarcane farms. VTOPES system model comprises of four significant steps: (i) determination of significance scores of the sub-parameters, (ii) transformation of sub-parameter sequences into main parameter values, (iii) computation of significant scores of main parameters, and (iv) generation of assessment values and deploying it for ranking the sugarcane farms. The ranking results of the proposed VTOPES model are compared with the ranking patterns obtained from five years average yield data acquired from the selected sugarcane farms. Moreover, the outcomes of the VTOPES model are also compared with other prevalent methods. Subsequently, Spearman’s rank correlation method is applied for evaluating the impact of correlation of VTOPES ranks in comparison with the average yield ranks. Thus, it can be noticed that the empirical results of the VTOPES model provide reliable and sustainable results. Therefore, it suffices to be a sustainable decision model for any problem where multiple parameters are involved.

Pathogens ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1003
Author(s):  
Sherry Mangla ◽  
Ashok Kumar Pathak ◽  
Mohd. Arshad ◽  
Doyel Ghosh ◽  
Prafulla Kumar Sahoo ◽  
...  

Currently, there is a massive debate on whether meteorological and air quality parameters play a crucial role in the transmission of COVID-19 across the globe. With this background, this study aims to evaluate the impact of air pollutants (PM2.5, PM10, CO, NO, NO2, and O3) and meteorological parameters (temperature, humidity, wind speed, and rainfall) on the spread and mortality due to the COVID-19 outbreak in Delhi from 14 Mar 2020 to 3 May 2021. The Spearman’s rank correlation method employed on secondary data shows a significant correlation between the COVID-19 incidences and the PM2.5, PM10, CO, NO, NO2, and O3 concentrations. Amongst the four meteorological parameters, temperature is strongly correlated with COVID-19 infections and deaths during the three phases, i.e., pre-lockdown (14 March 2020 to 24 March 2020) (r = 0.79), lockdown (25 March 2020 to 31 May 2020) (r = 0.87), and unlock (1 June 2020 to 3 May 2021) (r = −0.75), explaining the variability of about 20–30% in the lockdown period and 18–19% in the unlock period. NO2 explained the maximum variability of 10% and 7% in the total confirmed cases and deaths among the air pollutants, respectively. A generalized linear model could explain 80% and 71% of the variability in confirmed cases and deaths during the lockdown and 82% and 81% variability in the unlock phase, respectively. These findings suggest that these factors may contribute to the transmission of the COVID-19 and its associated deaths. The study results would enhance the ongoing research related to the influence of environmental factors. They would be helpful for policymakers in managing the outbreak of COVID-19 in Delhi, India.


2020 ◽  
Vol 223 ◽  
pp. 107520
Author(s):  
Lucas Gabriel Zanon ◽  
Rafael Ferro Munhoz Arantes ◽  
Lucas Daniel Del Rosso Calache ◽  
Luiz Cesar Ribeiro Carpinetti

2016 ◽  
Vol 25 (1) ◽  
pp. 43-47 ◽  
Author(s):  
Christopher James Ryan ◽  
Sascha Callaghan

Objectives: The Mental Health Act 2007 (NSW) ( MHA) was recently reformed in light of the recovery movement and the United Nations Convention on the Rights of Persons with Disabilities. We analyse the changes and describe the impact that these reforms should have upon clinical practice. Conclusions: The principles of care and treatment added to the MHA place a strong onus on clinicians to monitor patients’ decision-making capacity, institute a supported decision-making model and obtain consent to any treatment proposed. Patients competently refusing treatment should only be subject to involuntary treatment in extraordinary circumstances. Even when patients incompetently refuse treatment, clinicians must make every effort reasonably practicable to tailor management plans to take account of any views and preferences expressed by them or made known via friends, family or advance statements.


2021 ◽  
Vol 13 (6) ◽  
pp. 3585
Author(s):  
Dariusz Masłowski ◽  
Małgorzata Dendera-Gruszka ◽  
Ewa Kulińska

In the current era of urban development, people are already using electric vehicles more and more often for transport purposes, which reduces negative impacts on the environment. However, there are still vehicles in towns and cities that run on ordinary internal combustion engines. Performing optimization measures on the operation of these vehicles improves their performance, which can result in positive sustainable development effects. This article presents measures to reduce the wear and tear of urban vehicles and outlines a decision model to determine which of the vehicle parts described suffer the most frequent wear and tear under urban conditions. The article presents a list of structural elements that are most affected by urban traffic, as well as corrective actions to improve such specialized vehicles. Based on the decision analysis, Rule 1 was eliminated as having the least significant impact on vehicle wear and tear, and the least significant impact on urban safety. On the other hand, the most worn-out elements were found to be gearboxes, clutches, bus levelling electronics, and brake pads and discs. The decision-making model made it possible to identify the factors which have the greatest impact on reducing safety in urban spaces.


Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2211
Author(s):  
Na Wei ◽  
Mingyong Liu ◽  
Weibin Cheng

This paper proposes a multi-objective decision-making model for underwater countermeasures based on a multi-objective decision theory and solves it using the multi-objective discrete particle swarm optimization (MODPSO) algorithm. Existing decision-making models are based on fully allocated assignment without considering the weapon consumption and communication delay, which does not conform to the actual naval combat process. The minimum opponent residual threat probability and minimum own-weapon consumption are selected as two functions of the multi-objective decision-making model in this paper. Considering the impact of the communication delay, the multi-objective discrete particle swarm optimization (MODPSO) algorithm is proposed to obtain the optimal solution of the distribution scheme with different weapon consumptions. The algorithm adopts the natural number coding method, and the particle corresponds to the confrontation strategy. The simulation result shows that underwater communication delay impacts the decision-making selection. It verifies the effectiveness of the proposed model and the proposed multi-objective discrete particle swarm optimization algorithm.


Author(s):  
Kolawole Samuel Adeyemo ◽  
Chika Sehoole ◽  
Constancia G. Cueno

Orientation: This article provides an explorative analysis of the use of the job enrichment technique for decision-making in higher education in the Philippines.Research purpose: The profile of administrators in charge of decision-making was investigated in terms of their level of familiarity with, and use of, this technique in achieving the goals of enriching jobs, retaining staff and ensuring job-motivation in higher education.Motivation for the study: Given the increasingly competitive higher education environment in which higher education employees, including academics, work, the pressure on their performance, and their search for ideal working conditions, it is important to measure the impact of the job enrichment technique on employee and higher education organisations.Research design, approach and method: The study used a quantitative method. The respondents of this study consisted of 206 administrators. Spearman Rank, Correlation Coefficient, Point Bi serial and Chi-square were used to analyse the relationships between the demographic characteristics and job enrichment technique. Multiple Regression Coefficient was used to predict job enrichment.Main findings: The findings suggest that educational attainment and experience are the most important factors for predicting success as an administrator in higher education.Practical and managerial implications: Job enrichment should not only focus on the knowledge, experience and skills of administrators, but should be extended to encompass the context and working conditions of employees.Contribution: In the context of fiscal austerity measures that result in fewer resources becoming available for higher education, it is important to have competent decision-makers who are able to motivate staff.


2017 ◽  
Vol 7 (2) ◽  
pp. 247-258 ◽  
Author(s):  
Lizhen Wang ◽  
Wuyong Qian

Purpose The purpose of this paper is to propose a grey target decision model based on cobweb area in order to overcome the effect and influence from the extreme value of the index on the decision result. However, it does not take into account the impact of the correlation between indicators on the angle of the index, and produce a certain degree decision information distortion as a result of the equal angle between the indicators. In order to solve the above problems, a novel grey decision-making model based on cone volume is proposed. Design/methodology/approach In this paper, the model uses the whitening weight function to whiten the interval grey number, and the Delphi method and the maximal entropy method are exploited to integrate the weight of the index. On the basis of this, the center of the bull’s eye, the weight and the index value are constructed as the center circle, the radius, and the high cone, respectively. The scheme is selected by the volume of the cone, the decision is made according to the order relation, and the example is utilized to prove and analyze the validity of the proposed model. Findings The results show that the proposed model can well improve the traditional grey target decision-making model from the modeling object and modeling method. Practical implications The method exposed in the paper can be used to deal with the grey target decision-making problems which characteristics are multi-indexes, and the attribute values are interval grey numbers. Originality/value The paper succeeds in overcoming the disadvantages of grey target decision making based on the target center distance and the cobweb area.


2018 ◽  
Vol 15 (05) ◽  
pp. 1850040 ◽  
Author(s):  
Anne W. Fuller

This paper looks at the vital role of industrial research and development (R&D). The increased outsourcing of industrial R&D is contrasted with a resource-based view of competitive advantage which maintains capabilities that are valuable, rare, imitable, and non-substitutable (VRIN), and should be internalized in the firm. Traditional business formation literature is also supportive of keeping R&D “inhouse”. R&D outsourcing research is leveraged to posit possible reasons for the increased amount of outsourced R&D. Testable propositions are included that look at factors for R&D outsource decisions and also the impact of these decisions on firm performance. An R&D entropy statistic is introduced as well as several R&D characteristics useful in the decision-making process to create R&D.


Author(s):  
Lysechko M.V.

The aim of the study is to determine the psychological mechanisms of the connection between emotional and volitional self-regulation and role competence of students.Methods. Analysis of average data and correlation (by Spearman’s rank correlation method) between scales of 5 methods of research: 1) study of features and levels of development of role competence of students was carried out with use of “Questionnaire of role competence” by P. Gornostay; 2) to clarify the features of emotional-volitional regulation of role behavior, the level of emotional intelligence and its parameters such as: awareness of emotions, the ability to recognize emotions, self-motivation, empathy and emotion control were used: “Methods of diagnosing emotional intelligence” N. Hall, adapted by E. Ilyin and test-questionnaire “Study of volitional self-regulation” (A. Zverkov and E. Eidman); 3) “Methods of diagnosing the level of reflexivity” by A. Karpov was used by us to determine the level of development of the mechanism of reflection.Results. The study found that students in higher education have developed role competence at the secondary level. They have a low level of development of the integrative indicator of emotional intelligence; low level of development of ability to control one’s emotions and self-motivation, average level of development of emotional awareness and empathy, ability to recognize emotions of other people. The average general level of volitional regulation and such volitional qualities as persistence and self-control were revealed; medium and high levels of development of reflection.It is determined that the higher the level of emotional and volitional self-regulation, the higher the level of role competence. It is established that the positive factors in the formation of role competence of students of psychological and pedagogical specialties are: emotional intelligence (emotional awareness, self-motivation, emotional identification, empathy) and reflection.Conclusions. The results of the research determine the goals and objectives aimed at developing emotional and volitional components of the structure of role competence of students, which will consist in the formation of emotional and volitional characteristics connect with role competence (ability to emotional and volitional regulation, empathy, reflectivity, volitional qualities).Key words: role competence, psychological mechanisms, emotional-volitional self-regulation, empathy, reflection, student. Мета статті полягає у вивченні психологічних механізмів взаємозв’язку емоційно-вольової саморе-гуляції та рольової компетентності студентів.Методи. Аналіз середніх даних і кореляція (методом рангової кореляції Спірмена) між шкалами 5 методик дослідження: 1) вивчення особливостей і рівнів розвитку рольової компетентності студентів здійснювалося із використанням «Опитувальника рольової компетентності» П. Горностая; 2) задля з’ясування особливостей емоційно-вольової регуляції рольової поведінки, рівня емоційного інтелекту та таких його параметрів, як обізнаність в емоціях, здатність до розпізнавання емоцій, самомотивація, емпатія й управління емоціями були застосовані: «Методика діагностики емоційного інтелекту» Н. Холла в адаптації Є. Ільїна та тест-опитувальник «Дослідження вольової саморегуляції» (А. Звєрькова та Є. Ейдмана); 3) «Методика діагностики рефлексивності» А. Карпова була використана нами з метою визначення рівня розвитку механізму рефлексії.Результати. З’ясовано, що у студентів закладу вищої освіти рольова компетентність розвинена на середньому рівні; вони мають низький рівень розвитку інтегративного показника емоційного інтелекту; низький рівень розвитку здатності до управління своїми емоціями та самомотивації, середній рівень розвитку емоційної обізнаності й емпатії, здатності до розпізнавання емоцій інших людей. Було виявлено середній загальний рівень вольової регуляції та таких вольових якостей, як наполегливість і самовладання; середній і високий рівні розвитку рефлексії.Визначено, що чим вищий рівень емоційно-вольової саморегуляції, тим вищий рівень рольової ком-петентності. Встановлено, що позитивними чинниками формування рольової компетентності студентів психолого-педагогічних спеціальностей є: емоційний інтелект (емоційна обізнаність, самомотивація, емоційна ідентифікація, емпатія) та рефлексія.Висновки. Pезультати дослідження дозволяють визначити цілі та завдання, спрямовані на розвиток емоційно-вольових компонентів структури рольової компетентності студентів, які полягатимуть у формуванні емоційно-вольових характеристик, пов’язаних із рольовою компетентністю (здатності до емоційно-вольової регуляції, емпатії, рефлективності; вольових якостей та ін.), що дозволить сту-дентам розвинути власну рольову компетентність і здатність здійснювати емоційно-вольовий контроль і саморегуляцію власної поведінки та діяльності.Ключові слова: рольова компетентність, психологічні механізми, емоційно-вольова саморегуляція, емпатія, рефлексія, студент.


2019 ◽  
Vol 16 (4) ◽  
pp. 72-85 ◽  
Author(s):  
Artur Meynkhard

The purpose of this article is to analyze the effect that halving has on the fair market value of bitcoins. The main hypothesis of the study is that the decline in the cost of miners’ remuneration for mining is a significant factor that affects the price of cryptocurrencies. The article examines the factors that regulate the issuing process. The significance of a limited supply of bitcoin is detailed in the article, as well as the mechanism for the implementation of the issue of new bitcoins. The study compares the historical inflation data of the US dollar and the projected data on the inflation of bitcoin. The article analyzes the main technical element of cryptocurrency – halving – when the miner’s reward is halved. This analysis includes the mathematical methods of statistical data processing. Research results show that reducing remuneration by half every four years leads to an increased market value of the cryptocurrency. This relationship is clearly illustrated by the Kendall rank correlation method. The results of the study can have a significant impact on the fundamental assessment of bitcoin and can also enable investors to assess any of the existing and operating cryptocurrencies according to this method.


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