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Multi-valued interval neutrosophic linguistic soft set theory and its application in knowledge management

CAAI Transactions on Intelligence Technology 2020年第3期5卷 200-208页

作者： Nor Liyana Amalini Mohd Kamal Lazim abdullah ilyani abdullah Muhammad Saqlain Faculty of Ocean Engineering and Informatics Universiti Malaysia Terengganu21030 Kuala NerusTerengganuMalaysia Department of Mathematics Lahore Garrison UniversityDHA Phase VISector-CLahorePakistan

This study proposed the concepts of a multi-valued interval neutrosophic linguistic soft set(MVINLSS)by integrating the concepts of multi-valued interval neutrosophic soft set and linguistic *** is presented as it can deal with ambiguous and uncertain information in decision making which is characterised by linguistic *** proposed set amalgamates quantitative assessment with the qualitative assessment which can solve complex problems with ambiguity,uncertainty,and *** can be an effective tool to describe the real decision-makers’opinions and reflect their ***,the authors propose the basic operational rules of ***,they define a multi-valued interval neutrosophic linguistic soft weighted arithmetic averaging *** work proposed a multi-criteria decision-making(MCDM)method which considers different priority levels of criteria and the criteria values take the form of multi-valued interval neutrosophic linguistic soft ***,the proposed MCDM method is applied to the knowledge management case,considering 11 criteria.

关键词： valued qualitative integrating

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Prediction of Particles-Air Movement in Silo during Filling Operation

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Open Journal of Inorganic Non 2014年第3期4卷 21-27页

作者： Siti ilyani Rani Jolius Gimbun Badhrulhisham Abdul Aziz Faculty of Chemical & Natural Resources Engineering University Malaysia Pahang Gambang Malaysia Faculty of Chemical & Natural Resources Engineering University Malaysia Pahang Gambang Malaysia Center of Excellence for Advanced Research in Fluid Flow (CARIFF) University Malaysia Pahang Gambang Malaysia Faculty of Chemical Engineering Technology TATI University College Kemaman Malaysia Faculty of Chemical & Natural Resources Engineering University Malaysia Pahang Gambang Malaysia

Awareness of dust explosion hazards during silo filling operation is important for safety measures. Thus, information on particles-air flow field is required to assess the likelihood of the hazard. Flow field visualization via experimental investigation associated with difficulties and risks. Hence, in the present study, a modeling formulation using commercial computational fluid dynamics (CFD) code, FLUENT software was employed to predict an insight of flow field distribution, in terms of mean and root mean square (RMS) velocities vectors in cylindrical silo during axial filling. According to the simulation results, predicted flow field has a great influence to the silo height and distance to the silo wall due to gravitational force and movement of fugitive dust and re-circulation of air. The results showed that the predicted data were in very good agreement with experimental data obtained from the literature. The maximum error was around 10%. The study has gone some way towards enhancing our understanding of the particles-air behavior inside industrial equipments during filling operation.

关键词： Particles-Air Flow Field CFD Filling Silo

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