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Institution

Wrocław University of Technology

EducationWrocław, Poland
About: Wrocław University of Technology is a education organization based out in Wrocław, Poland. It is known for research contribution in the topics: Laser & Fuzzy logic. The organization has 13115 authors who have published 31279 publications receiving 338694 citations.


Papers
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Journal ArticleDOI
TL;DR: The purpose of this study is to extend the TOPSIS method to solve multicriteria group decision‐making problems equipped with Pythagorean fuzzy data, in which the assessment information on feasible alternatives, provided by the experts, is presented as Pythagian fuzzy decision matrices having each entry characterized by Pythagorian fuzzy numbers.
Abstract: Group decision‐making is a process wherein multiple individuals interact simultaneously, analyze problems, evaluate the possible available alternatives, characterized by multiple conflicting criteria, and choose suitable alternative solution to the problem. Technique for establishing order preference by similarity to the ideal solution (TOPSIS) is a well‐known method for multiple‐criteria decision‐making. The purpose of this study is to extend the TOPSIS method to solve multicriteria group decision‐making problems equipped with Pythagorean fuzzy data, in which the assessment information on feasible alternatives, provided by the experts, is presented as Pythagorean fuzzy decision matrices having each entry characterized by Pythagorean fuzzy numbers. A revised closeness index is utilized to obtain the ranking of alternatives and to identify the optimal alternative. The developed Pythagorean fuzzy TOPSIS (PF‐TOPSIS) is illustrated by a flow chart. At length, practical examples interpreting the applicability of our proposed PF‐TOPSIS are solved.

145 citations

Journal ArticleDOI
TL;DR: In this paper, a review analyzes two groups of renewable energy technologies involving biomass or CO2 as inputs and discusses useful techniques which enable to achieve negative carbon intensity of energy while being technologically promising in near-term as well as cost-effective.
Abstract: Conventional fossil fuel-based energy technologies can achieve efficiency in energy conversion but they are usually completely inefficient in carbon conversion because they generate significant CO2 emissions to the atmosphere per unit energy converted. In contrast, some renewable energy technologies characterized by negative carbon intensity can simultaneously achieve efficiency in the conversion of energy and in the conversion of carbon. These carbon negative renewable energy technologies can generate useful energy and remove CO2 from the atmosphere, either by direct capture and recycling of atmospheric CO2 or indirectly, by involving biofuels. Interestingly, the deployment of carbon negative renewable energy technologies can offset carbon emissions from conventional fossil fuel-based energy technologies and thus reduce the overall carbon intensity of energy systems. The current review analyzes two groups of renewable energy technologies involving biomass or CO2 as inputs. The discussions focus on useful techniques which enable to achieve negative carbon intensity of energy while being technologically promising in near-term as well as cost-effective. These analyzes include advanced carbon sequestration concepts such as soil carbon sequestration and CO2 recycling to useful C-rich products such as fuels and fertilizers. The 'drop-in' of renewable energy is achieved by allowing bioenergy and renewable energies in the form of renewable electricity, renewable thermal energy, solar energy, renewable hydrogen, etc. The carbon negative renewable energy technologies are analyzed and perspectives and constraints of each technology are expounded.

145 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed a new method for exploring the evolution of social groups, called Group Evolution Discovery (GED), which has been used in the study of human resource managers, personnel recruitment, and marketing.
Abstract: The continuous interest in the social network area contributes to the fast development of this field. The new possibilities of obtaining and storing data facilitate deeper analysis of the entire network, extracted social groups and single individuals as well. One of the most interesting research topic is the dynamics of social groups which means analysis of group evolution over time. Having appropriate knowledge and methods for dynamic analysis, one may attempt to predict the future of the group, and then manage it properly in order to achieve or change this predicted future according to specific needs. Such ability would be a powerful tool in the hands of human resource managers, personnel recruitment, marketing, etc. The social group evolution consists of individual events and seven types of such changes have been identified in the paper: continuing, shrinking, growing, splitting, merging, dissolving and forming. To enable the analysis of group evolution a change indicator—inclusion measure was proposed. It has been used in a new method for exploring the evolution of social groups, called Group Evolution Discovery (GED). The experimental results of its use together with the comparison to two well-known algorithms in terms of accuracy, execution time, flexibility and ease of implementation are also described in the paper.

145 citations

Journal ArticleDOI
TL;DR: It is indicated that women as a group more frequently attempted suicide rather than actually committing it, whereas men were more likely to complete suicides and choose more violent suicide methods; thus, women are the “attempters” and “survivors” of suicide attempts.
Abstract: Background: Suicide is an important public health problem worldwide, especially due to an increasing rate of suicides committed by violent methods. This study compared and assessed the methods used in suicide attempts (but no completed suicides) as undertaken by men and women and investigated the possible role of gender in the selection of suicide method. Material/Methods: The study was conducted among persons who attempted suicide by various methods and were admitted to hospital. The study population comprised 147 participants (33 males and 114 females) aged between 14 and 33 years. Results: The most prevalent methods of suicide attempts were pharmacological drugs abuse (42.31%) and exsanguination (25.64%), and the least frequent were poisoning and throwing oneself under a moving car (1.28%). The findings revealed that the female subjects tended to choose pharmacological drugs overdose and exsanguination as the suicide method, while males more frequently used hanging and asphyxia. Females also used a greater number of different suicide methods. Conclusions: The study results indicate that women as a group more frequently attempted suicide rather than actually committing it, whereas men were more likely to complete suicides and choose more violent suicide methods; thus, women are the "attempters" and "survivors" of suicide attempts. The study findings may have implications for therapy and prevention of suicide, and suggest that psychotherapeutic activities should be tailored to the psychological and personality traits associated with gender identity. Language: en

144 citations

Journal ArticleDOI
TL;DR: A polynomial time approximation algorithm with a performance ratio of 2 for this class of problems with interval data with minmax regret is proposed.

143 citations


Authors

Showing all 13239 results

NameH-indexPapersCitations
Krzysztof Palczewski11463146909
Claude B. Sirlin9847533456
Marek Czosnyka8874729117
Alfred Forchel85135834771
Jerzy Leszczynski7899327231
Kim R. Dunbar7447020262
Massimo Olivucci6729214880
Nitesh V. Chawla6138841365
Edward R. T. Tiekink60196721052
Bobby G. Sumpter6061923583
Wieslaw Krolikowski5950412836
Pappannan Thiyagarajan5924510650
Marek Samoc5840111171
Lutz Mädler5823227800
Rafał Weron5828512058
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202372
2022231
20211,579
20201,769
20191,753
20181,963