Center-of-gravity fuzzy systems based on normal fuzzy implications

Yuan, Xiao; Liu, Zengliang; Lee, E. Stanley

doi:10.1016/j.camwa.2011.03.074

Cited by 15 publications

(10 citation statements)

References 20 publications

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“…This value was used as the minimum score for a satisfactory rating (µ-cut). The findings in [50,51] demonstrated a good method for determining the midpoints. Equation ( 10) presents the transport dimension parameters.…”

Section: Evaluation Score Of Sustainable Freight Transportmentioning

confidence: 92%

Methodological Proposal for Recognition Systems in Sustainable Freight Transport

2021

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Establishing a recognition system for sustainable freight transport is a process of change that requires the commitment of those involved and application of good practices. The pressures from consumers and competitors do not allow greater engagement with economic, social, and environmental aspects, and the maintenance stages require a long-term effort to obtain credibility, because the participation of external members of society in the evaluation contributes to reduce the influences and uncertainties of the recognition criterion. In light of the difficulties of establishing a green supply chain, we propose a method with multiple approaches with an emphasis on fuzzy logic. The purpose is to reduce the indecision of judgment, to debug the qualitative variables and to reduce interference from competitors. The procedure was applied to six companies that have carbon reduction programs, but we found that firms with a core business in transport had greater success in the transition to low carbon operations than contractors or shippers. The certification levels allowed visual contact between consumers and the company, making it possible to monitor sustainability actions in freight transportation operations and the competitiveness to achieve higher labeling levels.

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Section: Evaluation Score Of Sustainable Freight Transportmentioning

confidence: 92%

Methodological Proposal for Recognition Systems in Sustainable Freight Transport

2021

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“…The value 0 indicates that x is not a member of the fuzzy set; the value 1 means that x is fully a member of the fuzzy set. The movement distance data were processed and transfer to output control voltage by the triangle center of gravity defuzzification [ 10 , 11 ]. The fuzzy output rule is shown in Figure 6 .…”

Section: Methods and Equipmentsmentioning

confidence: 99%

Development of an Integrated Chip for Automatic Tracking and Positioning Manipulation for Single Cell Lysis

Young¹,

Hsieh²,

Ay³

2012

Sensors

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This study adopted a microelectromechanical fabrication process to design a chip integrated with electroosmotic flow and dielectrophoresis force for single cell lysis. Human histiocytic lymphoma U937 cells were driven rapidly by electroosmotic flow and precisely moved to a specific area for cell lysis. By varying the frequency of AC power, 15 V AC at 1 MHz of frequency configuration achieved 100% cell lysing at the specific area. The integrated chip could successfully manipulate single cells to a specific position and lysis. The overall successful rate of cell tracking, positioning, and cell lysis is 80%. The average speed of cell driving was 17.74 μm/s. This technique will be developed for DNA extraction in biomolecular detection. It can simplify pre-treatment procedures for biotechnological analysis of samples.

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“…is achieved by a defuzzification process using the center of gravity, calculated using the equation [60] …”

Section: Width Of Pathwaysmentioning

confidence: 99%

“…In this study, defuzzification of the center of gravity has been used. The best non-fuzzy performance (BNP) for a triangular fuzzy number M = (l, m, u) is achieved by a defuzzification process using the center of gravity, calculated using the equation [60] …”

Section: Width Of Pathwaysmentioning

confidence: 99%

Spatial Modelling of Urban Physical Vulnerability to Explosion Hazards Using GIS and Fuzzy MCDA

et al. 2017

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Abstract:Most of the world's population is concentrated in accumulated spaces in the form of cities, making the concept of urban planning a significant issue for consideration by decision makers. Urban vulnerability is a major issue which arises in urban management, and is simply defined as how vulnerable various structures in a city are to different hazards. Reducing urban vulnerability and enhancing resilience are considered to be essential steps towards achieving urban sustainability. To date, a vast body of literature has focused on investigating urban systems' vulnerabilities with regard to natural hazards. However, less attention has been paid to vulnerabilities resulting from man-made hazards. This study proposes to investigate the physical vulnerability of buildings in District 6 of Tehran, Iran, with respect to intentional explosion hazards. A total of 14 vulnerability criteria are identified according to the opinions of various experts, and standard maps for each of these criteria have been generated in a GIS environment. Ultimately, an ordered weighted averaging (OWA) technique was applied to generate vulnerability maps for different risk conditions. The results of the present study indicate that only about 25 percent of buildings in the study area have a low level of vulnerability under moderate risk conditions. Sensitivity analysis further illustrates the robustness of the results obtained. Finally, the paper concludes by arguing that local authorities must focus more on risk-reduction techniques in order to reduce physical vulnerability and achieve urban sustainability.

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Center-of-gravity fuzzy systems based on normal fuzzy implications

Cited by 15 publications

References 20 publications

Methodological Proposal for Recognition Systems in Sustainable Freight Transport

Methodological Proposal for Recognition Systems in Sustainable Freight Transport

Development of an Integrated Chip for Automatic Tracking and Positioning Manipulation for Single Cell Lysis

Spatial Modelling of Urban Physical Vulnerability to Explosion Hazards Using GIS and Fuzzy MCDA

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