Neutrosophic Sociogram Approach to Neutrosophic Cognitive Maps in Swift Language [PDF]
Neutrosophic Sets and Systems, 2022 Neutrosophic Cognitive Maps (NCM) decision-making system encompasses sequential tasks of resolving the confrontations in finding the ideal solution. This paper introduces neutrosophic sociogram (NS) approach as an alternative to the conventional approach
R. Priya, Nivetha Martin
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Barekeng, 2023 Time series data represents measurements taken over a specific period and is often employed for forecasting purposes. The typical approach in forecasting involves the analysis of relationships among estimated variables.In this study, we apply Fuzzy Time ...
Nursyiva Irsalinda +2 more
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A Proposed Model for Tourism Development in Iran Using Fuzzy Cognitive Mapping [PDF]
Muṭāli̒āt-i Mudīriyyat-i Gardishgarī, 2020 The tourism industry is one of the most important phenomena in the current century, which, in the near future, could be the first and most important industry in the world.
Mir Mohamad Asadi +2 more
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THE PERFORMANCE ANALYSIS OF HEALTH, SAFETY, ENVIRONMENT, AND ENERGY INTEGRATED MANAGEMENT SYSTEM (HSEE-IMS) USING FUZZY COGNITIVE MAPPING METHOD [PDF]
Proceedings on Engineering Sciences, 2021 The performance assessment of strategic levels of an integrated management system (IMS) is critical to policy making phase of executive organizations.
Rasoul Yarahmadi +1 more
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MITIGATING POVERTY: THE CLUSTERING OF POTENTIAL ZAKAT IN INDONESIA
Analisa, 2022 The objective of this study was to examine the fuzzy c-means clustering (FCM) method to establish the optimum cluster accuracy of zakat potential in Indonesia.
Abdul Karim +4 more
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Evaluation of carrying capacity of provincial functional-environmental infrastructures in Iran [PDF]
علوم محیطی, 2022 Introduction: Functional infrastructures act as an integrated system to support sustainable development. Therefore, it is worthwhile to use appropriate methods to evaluate the range capacities of functional infrastructures and the balance between them ...
Maryam Saberian Sani, Romina Sayyahnia
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Data preprocessing impact on machine learning algorithm performance
Open Computer Science, 2023 The popularity of artificial intelligence applications is on the rise, and they are producing better outcomes in numerous fields of research. However, the effectiveness of these applications relies heavily on the quantity and quality of data used.
Amato Alberto, Di Lecce Vincenzo
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An Implementation Of Statistical Feature Algorithms For The Detection Of Brain Tumor [PDF]
Journal of Cognitive Human-Computer Interaction, 2021 A member of a population who is at risk of becoming infected by disease is a susceptible individual. Finding disease susceptibility and generating an alert in advance, is valuable for an individual.
P. Kavitha, R. Subha Shini, R. Priya
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Difteria pelo Corynebacterium ulcerans: uma zoonose emergente no Brasil e no mundo
Revista de Saúde Pública, 2011 O artigo revisa a literatura sobre a emergência de infecções humanas causadas por Corynebacterium ulcerans em diversos países, incluindo o Brasil. Foi realizada análise de artigos publicados entre 1926 e 2011 nas bases Medline/PubMed e SciELO, bem como ...
Alexandre Alves de Souza de Oliveira Dias +9 more
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AN EFFICIENCT RULE MINING MODEL USING [S]3 FCM AND ANN TECHNIQUES
ICTACT Journal on Soft Computing, 2021 We are living in the era known as information era where numerous sectors especially health sectors are put to handle tremendous amount of information.
T Thamaraiselvan, K Saravanan
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