Abstract Fuzzy Knowledge Graph (FKG) has recently been emerging as one of the key
techniques for supporting classification and decision-making problems. FKG is a novel …

Several factors over the years have contributed to stigma in public transport. Many studies
have highlighted the need to make the transport system more equitable both from economic …

Problems of preeclampsia sign diagnosis are mostly based on symptom data with the
characteristics of data collected periodically in uncertain, ambiguous, and obstetrician …

The automotive industry is one of the ever-growing sectors in terms of self-driven vehicles
that are capable of self-routing the task while driving. In India, deaths due to road accidents …

With city conditions that often have congestion, a driver need to find a route of the many
possible routes that may occur from origin to destination by considering several factors. The …

Currently, most of the transportation systems require changes to intelligent transportation
systems, but most of them focus on efficient transportation rather than on improvement in …

Recently, machine learning models based on fuzzy inference systems have effectively
solved problems in medical diagnosis and received much attention from researchers around …

Chẩn đoán bệnh trong y học cổ truyền thường được cốt lại trong bốn cách là “Vọng-Văn-
Vấn-Thiết”(hay còn được gọi là “Tứ chẩn”). Trong những năm gần đây, đội ngũ lương y, bác …

A distribuição do transporte de mercadorias no Brasil concentra mais da metade de suas
atividades na movimentação por rodovias. Entretanto, tal arranjo torna o frete dependente …

The traditional grading methods used for laboratory courses often fail to capture the nuances
of student performance, overlooking the contributions of attendance, lab report quality, lab …