Manufacturing quality prediction is one of the significant concerns in modern enterprise
production management, which provides data support for reliability assessment and …

The present paper analyzes and compares the current urban green space planning and
management experiences of 23 European cities in order to understand the critical factors …

Rough Set Theory, proposed in 1982 by Zdzislaw Pawlak, is in a state of constant
development. Its methodology is concerned with the classification and analysis of imprecise …

This study aims to identify the critical factor (s) that determine the embeddedness level (EL)
of rural entrepreneurs. In order to achieve this aim, existing applied studies on the …

The paper explores how young innovative companies shape knowledge networks in seizing
local and global opportunities of learning. The perspective used in the paper is derived from …

Attribute reduction is a fundamental problem in rough set theory and serves as an effective
data reduction technique. The minimal test cost attribute reduction problem poses a more …

Seaports are crucial in modern global supply chain networks and systems, exerting a
significant impact on the ecological area's economy. Supply chain entities play a substantial …

This article appoints a novel model of rough set approximations (RSA), namely, rough set
approximation models build on containment neighborhoods RSA (CRSA), that generalize …

Rough sets (RS) are a set of theories that explore the expression, learning, and induction of
incomplete data and inaccurate knowledge. Given the high profile and influence of RS …

This work presents a novel approach to scoring the structural condition of sewer pipes
applicable to risk-based and network wide analysis processes. Using a statistically …